Diferencia entre revisiones de «Revistas»

De Grupo de Inteligencia Computacional (GIC)
 
(No se muestran 691 ediciones intermedias de 5 usuarios)
Línea 1: Línea 1:
[[media:Revistas-GIC-1984-2009.bib.zip|bib de revistas hasta 2009]]
[[media:Revistas-GIC-1984-2009.bib.zip|bib de revistas hasta 2009]]
==submitidos sin decision==
==submitidos sin decision==
==aceptados ==
; Igone Morais-Quilez, Manuel Graña, Anna Kaminska-Chuchmala
: A review and meta-analysis of emotion recognition from electroencephalographic signals
: Cybernetics and Systems
== online first==
== 2024 ==
;[58] Asier Garmendia-Orbegozo, Miguel Angel Anton Gonzalez, J. David Nuñez-Gonzalez
: Reduction of Vision-Based Models for Fall Detection
: Sensors 2024, 24(22), 7256;
: https://doi.org/10.3390/s24227256
: Journal Rank: JCR - Q2 (Chemistry, Analytical) / CiteScore - Q1 (Instrumentation)
; [57] Manuel Graña, Goizalde Badiola-Zabala, Guillermo Cano-Escalera
: Comment on Uzun Ozsahin et al. COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach. Diagnostics 2023, 13, 1264
: Diagnostics 2024, 14(22), 2528; https://doi.org/10.3390/diagnostics14222528
: Submission received: 9 October 2023 / Accepted: 28 October 2024 / Published: 12 November 2024
: Journal Rank: JCR - Q1 (Medicine, General and Internal) / CiteScore - Q2 (Internal Medicine)
; [56] Eloy Irigoyen, Mikel Larrea, Manuel Graña
: A Narrative Review of Haptic Technologies and Their Value for Training, Rehabilitation, and the Education of Persons with Special Needs
: Sensors 2024, 24(21), 6946; [https://www.mdpi.com/1424-8220/24/21/6946]
: https://doi.org/10.3390/s24216946
: Journal Rank: JCR - Q2 (Chemistry, Analytical) / CiteScore - Q1 (Instrumentation)
;[55]JULIAN ESTEVEZ,JOSE MANUEL LOPEZ-GUEDE,JAVIER DEL VALLE-ECHAVARRI,MANUEL GRAÑA
: Reinforcement learning based trajectory planning for multi-UAV load transportation
: IEEE Access 12:144009-144016 [https://ieeexplore.ieee.org/document/10699338]
: Digital Object Identifier: 10.1109/ACCESS.2024.3470509
; [54] Josu Maiora, Chloe Rezola-Pardo, Guillermo García, Begoña Sanz, Manuel Graña
: Older Adult Fall Risk Prediction with Deep Learning and Timed Up and Go (TUG) Test Data
: Bioengineering 2024, 11(10), 1000
: https://doi.org/10.3390/bioengineering11101000
: Journal Rank: JCR - Q2 (Engineering, Biomedical)
;[53]Daniel Caballero-Martin, Jose Manuel Lopez-Guede *, Julian Estevez, Manuel Graña
: Artificial Intelligence Applied To Drone Control:A State-Of-The-Art
: Drones 2024, 8(7), 296
: https://doi.org/10.3390/drones8070296
; [52]Jon Kerexeta-Sarriegi, Teresa García-Navarro, Maria Rollan, Nekane Larburu,  Moises Espejo, Andoni Beristain, Manuel Graña
: Analysing Disease Trajectories in a Cohort of 71,849 Patients: A Visual Analytics and Statistical Approach
: International Journal of Medical Informatics, Volume 188, August 2024, 105466
: DOI https://doi.org/10.1016/j.ijmedinf.2024.105466
: JCR IF 4.9
;[51]Julian Estevez, Endika Nuñez, Jose Manuel Lopez-Guede, Gorka Garate
:A low-cost vision system for online reciprocal collision avoidance with UAVs
: Aerospace Science and Technology  7 May 2024, 109190
: https://doi.org/10.1016/j.ast.2024.109190
; [50] Goizalde Badiola-Zabala, Jose Manuel Lopez-Guede, Julian Estevez, Manuel Graña
: Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
: Electronics 2024, 13(6), 1005;
: https://www.mdpi.com/2079-9292/13/6/1005
: https://doi.org/10.3390/electronics13061005
: Journal Rank: JCR - Q2(Electrical and Electronic Engineering) CiteScore - Q2 (Electrical and Electronic Engineering)
; [49] Asier Garmendia-Orbegozo, J. David Nuñez-Gonzalez, Miguel Angel Anton
:Task Offloading in Edge Computing using GNNs and DQN
: CMES-Computer Modeling in Engineering & Sciences
: https://doi.org/10.32604/cmes.2024.045912
: IF 2.4 - Q2
; [48] Julian Estevez, Gorka Garate, Jose Manuel Lopez-Guede and Mikel Larrea
:Review of Aerial Transportation of Suspended-Cable Payloads with Quadrotors
: Drones 2024, 8(2), 35
:https://doi.org/10.3390/drones8020035
:Journal Rank: JCR - Q2 (Remote Sensing) / CiteScore - Q1 (Aerospace Engineering)
; [47] Borja Fernandez-Gauna, Manuel Graña
:Simion Zoo : A training Workbench for Reinforcement Learning allowing Distributed Experimentation
: Neurocomputing Volume 568, 1 February 2024, 127030 [https://www.sciencedirect.com/science/article/pii/S0925231223011530]
: https://doi.org/10.1016/j.neucom.2023.127030
==2023 ==
;46 Ana Paula Aravena-Cifuentes, J. David Nuñez-Gonzalez, Andoni Elola, Malinka Ivanova
:Development of AI-Based Tools for Power Generation Prediction
:Computation 2023, 11(11), 232
:https://doi.org/10.3390/computation11110232
: Journal Rank: CiteScore - Q2 (Applied Mathematics)
; 45 Inziarte-Hidalgo, I.; Uriarte, I.; Fernandez-Gamiz, U.; Sorrosal, G.; Zulueta, E.
: Robotic-Arm-Based Force Control in Neurosurgical Practice.
: Mathematics 2023, 11, 828.
: https://doi.org/10.3390/math11040828
; 44 Abucide-Armas, A.; Portal-Porras, K.; Fernandez-Gamiz, U.; Zulueta, E.; Teso-Fz-Betoño, A.
: Convolutional Neural Network Predictions for Unsteady Reynolds-Averaged Navier–Stokes-Based Numerical Simulations.
: J. Mar. Sci. Eng. 2023, 11, 239.
: https://doi.org/10.3390/jmse11020239
; 43 Sergio A. Chillón, Unai Fernandez-Gamiz, Ekaitz Zulueta, Ainara Ugarte-Anero, Oskar Urbina-Garcia
:Numerical modeling of a sneeze, a cough and a continuum speech inside a hospital lift
:DOI:https://doi.org/10.1016/j.heliyon.2023.e13370
;42 Teso-Fz-Betoño, A.; Zulueta, E.; Cabezas-Olivenza, M.; Fernandez-Gamiz, U.; Botana-M-Ibarreta, C.
: Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm.
: Mathematics 2023, 11, 1183.
: https://doi.org/10.3390/math11051183
; 41 Sanchez-Chica, A.; Ugartemendia-Telleria, B.; Zulueta, E.; Fernandez-Gamiz, U.; Gomez-Hidalgo, J.M.
:A New Loss Function for Simultaneous Object Localization and Classification.
:Mathematics 2023, 11, 1205.
:https://doi.org/10.3390/math11051205
;40 Koldo Portal-Porras, Unai Fernandez-Gamiz, Ekaitz Zulueta, Oscar Irigaray, Roberto Garcia-Fernandez,
:Hybrid LSTM+CNN architecture for unsteady flow prediction,
: Materials Today Communications, Volume 35, 2023, 106281,
:https://doi.org/10.1016/j.mtcomm.2023.106281.
; 39 Jaime-Barquero, E.; Bekaert, E.; Olarte, J.; Zulueta, E.; Lopez-Guede, J.M.
: Artificial Intelligence Opportunities to Diagnose Degradation Modes for Safety Operation in Lithium Batteries.
: Batteries 2023, 9, 388.
: https://doi.org/10.3390/batteries9070388
; 38 Azurmendi I, Zulueta E, Lopez-Guede JM, Azkarate J, González M.
: Cooktop Sensing Based on a YOLO Object Detection Algorithm.
: Sensors. 2023; 23(5):2780.
: https://doi.org/10.3390/s23052780
; 37 Dara, O.A.; Lopez-Guede, J.M.; Raheem, H.I.; Rahebi, J.; Zulueta, E.; Fernandez-Gamiz, U.
:Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey.
: Appl. Sci. 2023, 13, 8298.
: https://doi.org/10.3390/app13148298
;36 Koldo Portal-Porras, Unai Fernandez-Gamiz, Ekaitz Zulueta, Roberto Garcia-Fernandez & Oscar Irigaray (2023)
:Parametric study of vortex generators on a fin-and-tube heat exchanger,
:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 45:4, 10051-10072,
: DOI: 10.1080/15567036.2023.2242809
; 35 Manuel Graña, Igone Morais-Quilez
: A review of Graph Neural Networks for Electroencephalography data analysis
: Neurocomputing Volume 562, 28 December 2023, 126901 [https://www.sciencedirect.com/science/article/abs/pii/S092523122301024X]
: https://doi.org/10.1016/j.neucom.2023.126901
; 34 A Garmendia-Orbegozo, JD Nuñez-Gonzalez, MA Anton
: SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction
: Sensors 23 (5), 2718
: https://doi.org/10.3390/s23052718
;34 Borja Fernandez-Gauna; Naiara Rojo; Manuel Graña
:Automatic Feedback and Assessment of Team-Coding Assignments in a DevOps Context
:International Journal of Educational Technology in Higher Education 20, Article number: 17 (2023)[https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00386-6]
: JCR 2021 7.611, Q1 EDUCATION & EDUCATIONAL RESEARCH
: DOI https://doi.org/10.1186/s41239-023-00386-6
;33 J.M. Górriz, I. Álvarez-Illán, A. Álvarez-Marquina, J.E. Arco, M. Atzmueller, F. Ballarini, E. Barakova, G. Bologna, P. Bonomini, G. Castellanos-Dominguez, D. Castillo-Barnes, S.B. Cho, R. Contreras, J.M. Cuadra, E. Domínguez, F. Domínguez-Mateos, R.J. Duro, D. Elizondo, A. Fernández-Caballero, E. Fernandez-Jover, M.A. Formoso, N.J. Gallego-Molina, J. Gamazo, J. García González, J. Garcia-Rodriguez, C. Garre, J. Garrigós, A. Gómez-Rodellar, P. Gómez-Vilda, M. Graña, B. Guerrero-Rodriguez, S.C.F. Hendrikse, C. Jimenez-Mesa, M. Jodra-Chuan, V. Julian, G. Kotz, K. Kutt, M. Leming, J. de Lope, B. Macas, V. Marrero-Aguiar, J.J. Martinez, F.J. Martinez-Murcia, R. Martínez-Tomás, J. Mekyska, G.J. Nalepa, P. Novais, D. Orellana, A. Ortiz, D. Palacios-Alonso, J. Palma, A. Pereira, P. Pinacho-Davidson, M.A. Pinninghoff, M. Ponticorvo, A. Psarrou, J. Ramírez, M. Rincón, V. Rodellar-Biarge, I. Rodríguez-Rodríguez, P.H.M.P. Roelofsma, J. Santos, D. Salas-Gonzalez, P. Salcedo-Lagos, F. Segovia, A. Shoeibi, M. Silva, D. Simic, J. Suckling, J. Treur, A. Tsanas, R. Varela, S.H. Wang, W. Wang, Y.D. Zhang, H. Zhu, Z. Zhu, J.M. Ferrández-Vicente,
:Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends,
:Information Fusion, Volume 100, 2023, 101945,
:IF 18.600 (Q1 CSAI, Q1 CSTM)
: https://doi.org/10.1016/j.inffus.2023.101945
; 32 Daniel Teso-Fz-Betoño, Ekaitz Zulueta, Ander Sanchez-Chica, Unai Fernandez-Gamiz, Adrian Teso-Fz-Betoño,  Jose Manuel Lopez-Guede
:Neural architecture search for the estimation of relative positioning of the autonomous mobile robot
:Logic Journal of the IGPL, Volume 31, Issue 4, August 2023, Pages 634–647,
: https://doi.org/10.1093/jigpal/jzac030
; 31 Marina Aguilar-Moreno, Manuel Graña
:On registration methods for SLAM with low resolution LiDAR sensor
:Logic Journal of the IGPL, Volume 31, Issue 4, August 2023, Pages 751–761,
: https://doi.org/10.1093/jigpal/jzac037 Published: 16 February 2022
; 30 Ricardo Munoz-Cancino, Sebastián A. Ríos, and Manuel Graña
:Clustering cities over features extracted from multiple virtual sensors measuring micro level activity patterns allows to discriminate large-scale city characteristics
: Sensors 2023, 23(11), 5165 [https://www.mdpi.com/1424-8220/23/11/5165]
: https://doi.org/10.3390/s23115165
: Journal Rank: JCR - Q2 (Instruments & Instrumentation) / CiteScore - Q1 (Instrumentation)
;29 Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ana González-Pinto, Ariadna Besga
:MORTALITY RISKS IN FRAIL and PRE-FRAIL OLDER ADULTS ADMITTED TO HOSPITAL AFTER TWO YEARS
: Journal of Clinical Medicine 2023, 12(9), 3103;
: https://www.mdpi.com/2077-0383/12/9/3103
: JCR 4.964 JCR - (Q2 (Medicine, General & Internal) / CiteScore - Q1 (General Medicine))
;28 Garmendia-Orbegozo, A.; Nuñez-Gonzalez, J.D.; Anton, M.A.
: SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction.
: Sensors 2023, 23, 2718. https://doi.org/10.3390/s23052718
;27- Ricardo Munoz-Cancino, Cristian Bravo, Sebastian A. Rıos, Manuel Grana
:On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance
: Expert Systems with Applications  Volume 218, 15 May 2023, 119599
: https://doi.org/10.1016/j.eswa.2023.119599
: JCR 8.665 en 2022, Q1 en CSAI
;26- Jon Kerexeta *, Nekane Larburu, Vanessa Escolar, Ainara Lozano, Iván Macía-Oliver, Andoni Beristain, Manuel Graña
:Prediction and Analysis of Heart Failure Decompensation Events Based on Telemonitored Data and Artificial Intelligence Methods
: Journal of Cardiovascular Development and Disease  Dis. 2023, 10(2), 48; [https://www.mdpi.com/2308-3425/10/2/48]
:https://doi.org/10.3390/jcdd10020048
: JCR 4.415 (Q2 Cardiac & Cardiovascular Systems)
;25- Javier de Lope, Manuel Graña
:An Ongoing Review of Speech Emotion Recognition
:Neurocomputing Volume 528, 1 April 2023, Pages 1-11
:https://doi.org/10.1016/j.neucom.2023.01.002
;24- Ricardo Munoz-Cancino, Cristian Bravo, Sebastian A. Rıos, Manuel Grana
:On the combination of graph data for assessing thin-file borrowers’ creditworthiness
: Expert Systems with Applications Volume 213, Part A, 1 March 2023, 118809
: JCR 8.665 en 2022, Q1 en CSAI
: https://doi.org/10.1016/j.eswa.2022.118809
;23- Cabezas-Olivenza, M.; Zulueta, E.; Sanchez-Chica, A.; Fernandez-Gamiz, U.; Teso-Fz-Betoño, A.
:Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient.
:Mathematics 2023, 11(1), 132;
:https://doi.org/10.3390/math11010132.
:https://www.mdpi.com/2227-7390/11/1/132
;22- Jaime-Barquero, E.; Zhang, Y.; Drewett, N.; López-Aranguren, P.; Zulueta, E.; Bekaert, E.
:Spatially Offset Raman Spectroscopy for Characterization of a Solid-State System.
:Batteries 2023, 9(1), 20;
:https://doi.org/10.3390/batteries9010020.
:https://www.mdpi.com/2313-0105/9/1/20
==2022==
;22- Izaskun Santamaria, Xabier Larrucea, Borja Fernandez-Gauna
:Integrating privacy debt and VSE's software developments
:Journal Of Software-Evolution And Process 35(8), 2022
:DOI: 10.1002/smr.2437
:JCR (2022): 2 [Q3/T2/D6 SCIE-Computer Science, Software Engineering (62/108)]
;21- Zulueta, A.; Ispas-Gil, D.; Zulueta, E.; Garcia-Ortega, J.; Fernandez-Gamiz, U.
:Battery Sizing Optimization in Power Smoothing Applications.
:Energies 2022, 15(3), 729;
:https://doi.org/10.3390/en15030729.
:https://www.mdpi.com/1996-1073/15/3/729
;20- Teso-Fz-Betoño, A.; Zulueta, E.; Cabezas-Olivenza, M.; Teso-Fz-Betoño, D.; Fernandez-Gamiz, U.
:A Study of Learning Issues in Feedforward Neural Networks.
:Mathematics 2022, 10(17), 3206;
:https://doi.org/10.3390/math10173206.
:https://www.mdpi.com/2227-7390/10/17/3206
;19- Olarte, J.; Martinez de Ilarduya, J.; Zulueta, E.; Ferret, R.; Garcia-Ortega, J.; Lopez-Guede, J.
:Online Identification of VLRA Battery Model Parameters Using Electrochemical Impedance Spectroscopy.
:Batteries 2022, 8(11), 238;
:https://doi.org/10.3390/batteries8110238.
:https://www.mdpi.com/2313-0105/8/11/238
;18- Delgado, R., Núñez-González, J.D.
:Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning
:(2022) Scientific Reports, 12 (1), art. no. 8724, .
:DOI: 10.1038/s41598-022-12682-8
:Q2- IF 4.996 (2021)
;17- Garmendia-Orbegozo, A., Noye, S., Anton, M.A., Nunez-Gonzalez, J.D.
:Graph Based Learning for Building Prediction in Smart Cities
:(2022) IEEE Access, 10, pp. 45471-45484.
:DOI: 10.1109/ACCESS.2022.3169890
:Q2 - IF 3.476 (2021)
;15- Garmendia-Orbegozo, A., Núñez-Gonzalez, J.D., Antón, M.Á.
:Reviewing and Discussing Graph Reduction in Edge Computing Context
:(2022) Computation, 10 (9), art. no. 161, .
:DOI: 10.3390/computation10090161
:JCR- Emerging Sources Citation Index - Q2 - JCI 0,69 (2021)
;14- Pablo Cleveland, Sebastian A. Rios, Felipe Aguilera, Manuel Graña
: Neuro-semantic prediction of user decisions to contribute content to online social networks
: Neural Computing and Applications  34, pages 16717–16738 (2022) [https://link.springer.com/article/10.1007/s00521-022-07307-0]
: DOI 10.1007/s00521-022-07307-0
;13- Gorka Garate, Julian Estevez, Manuel Graña
:  ADITU:A Mesh-free formulation for the solution of Helmholtz equation in bounded and unbounded domains
: SoftwareX, Volume 19, July 2022, 101111 [https://www.sciencedirect.com/science/article/pii/S2352711022000735]
: https://doi.org/10.1016/j.softx.2022.101111
: JCR 1.959 (2021)
;12- Javier de Lope, Manuel Graña
:Deep Transfer Learning-based Gaze Tracking for Behavioral Activity Recognition
:Neurocomputing Volume 500, 21 August 2022, Pages 518-527 [https://www.sciencedirect.com/science/article/pii/S0925231222006403]
: https://doi.org/10.1016/j.neucom.2021.06.100
;11- Javier de Lope, Manuel Graña
: A Hybrid TimeDistributed Deep Neural Architecture for Speech Emotion Recognition
: IJNS Volume No. 32, Issue No. 06, Article No. 2250024, Year 2022.
: https:///dx.doi.org/10.1142/S0129065722500241
: nota de prensa [https://www.upm.es/?id=09b6654250e83810VgnVCM10000009c7648a____&prefmt=articulo&fmt=detail]
;10- Julian Estevez, Jose Manuel Lopez-Guede, Gorka Garate, Manuel Graña
: Hybrid modeling of deformable linear objects for their cooperative transportation by teams of quadrotors
: Applied Sciences  2022, 12(10), 5253; [https://www.mdpi.com/2076-3417/12/10/5253]
:https://doi.org/10.3390/app12105253
;9- Garate, G., Harismendy, I., Echeverria-Altuna, O., & Estévez, J. (2022).
:A dynamic data driven application system for real-time simulation of resin transfer moulding processes.
:International Journal of Material Forming, 15(3), 1-11.
;8- Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ariadna Besga
: Risk factors for prediction of delirium at hospital admittance
: Expert Systems (16 marzo 2021 aceptado)  Volume39, Issue4, e12698
:http://doi.org/10.1111/exsy.12698
: JCR 2019 1.546
;7- Javier Barandiaran, Marcos Nieto, Andoni Cortes, Oihana Otaegui, Julian Florez and Manuel Graña
:Automated Annotation of Lane Markings Using  LIDAR and Odometry [https://ieeexplore.ieee.org/document/9238418]
: IEEE Transactions on Intelligent Transportation Systems, 23, Issue: 4 : 3115-3125
: JCR 6.319, Q1 en EC, EEE, TST
: DOI 10.1109/TITS.2020.3031921
;6- Maria Isabel Carreño-Muñoz, Maria Carmen Medrano, Arnaldo Ferreira Gomes Da Silva, Christian Gestreau, Clément Menuet, Thomas Leinekugel, Maelys Bompart, Fabienne Martins, Enejda Subashi, Franck Aby, Andreas Frick, Marc Landry, Manuel Grana, and Xavier Leinekugel
: Detecting fine and elaborate movements with piezo sensors provides non-invasive access to overlooked behavioral components
: NEUROPSYCHOPHARMACOLOGY 47, pages 933–943 (2022) [https://www.nature.com/articles/s41386-021-01217-w]
: JCR (2020) 7.853 Q1 P&P, P
;5- Borja Fernandez-Gauna; manuel grana; Juan-Luis Osa-Amilibia; Xavier Larrucea
:Actor-Critic Continuous State Reinforcement Learning for Wind-Turbine Control Robust Optimization
: Information Sciences Volume 591, April 2022, Pages 365-380 [https://www.sciencedirect.com/science/article/pii/S0020025522000767]
: DOI 10.1016/j.ins.2022.01.047
;4- Carlos M Chiesa-Estomba (Corresponding Author), Manuel Graña (Co-author), Alfonso Medela (Co-author), Jon A Sistiaga-Suarez (Co-author), Jerome R Lechien (Co-author), Christian Calvo-Henriquez (Co-author), Miguel Mayo-Yáñez (Co-author), Luigi Angelo Vaira (Co-author), Alberto Grammatica (Co-author), Giovanni Cammaroto (Co-author), Tareck Ayad (Co-author), Johannes J Fagan (Co-author)
:Machine learning algorithms as a computer assisted decision tool for oral cancer prognosis and management decisions: A systematic review
: ORL, Journal for Oto-Rhino-Laryngology, Head and Neck Surgery, 2022
:https://doi.org/10.1159/000520672
: JCR 1.538
;3- Cano-Escalera, G.; Graña, M.; Irazusta, J.; Labayen, I.; Besga, A.
:Survival of Frail Elderly with Delirium.
:Int. J. Environ. Res. Public Health 2022, 19, 2247.
:https://doi.org/10.3390/ijerph19042247
;2-  Leyre Torre-Tojal, Aitor Bastarrika, Ana Boyano, Jose Manuel Lopez-Guede, Manuel Graña
: Above-ground Biomass Estimation from LiDAR data using Random Forest algorithms
: Journal of Computational Science, Volume 58, February 2022, 101517
: https://doi.org/10.1016/j.jocs.2021.101517
;1- Fátima A Saiz *, Iñigo Barandiaran, Ander Arbelaiz, Manuel Graña
:Photometric Stereo-based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network
: Sensors 2022, 22(3), 882 [https://www.mdpi.com/1424-8220/22/3/882]
: DOI  https://doi.org/10.3390/s22030882
==2021==
; M Graña et al.
:SPECIAL ISSSUE SOCO-CISIS 2018-IGPL
:Logic Journal of the IGPL  Volume 29, Issue 6, December 2021, Pages 871–873 [https://academic.oup.com/jigpal/article/29/6/871/6423549?login=true]
:DOI: 10.1093/jigpal/jzaa040
:JCR 0.931, Q3 MA, Q4 M, Q1 L
;Jon Kerexeta Sarriegi, Andoni Beristain Iraola, Roberto Álvarez Sánchez, Manuel Graña, Kristin May Rebescher, Gorka Epelde, Louise Hopper, Joanne Carroll, Patrizia Gabriella Ianes, Barbara Gasperini, Francesco Pilla, Walter Mattei, Francesco Tessarolo, Despoina Petsani, Panagiotis D. Bamidis, Evdokimos I. Konstantinidis
:COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations
: Sensors 2021, 21(23), 7991;
:  https://doi.org/10.3390/s21237991 
;Marcos Alonso *, Daniel Maestro, Alberto Izaguirre, Imanol Andonegui, Manuel Graña
:Depth Data Denoisisng in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach
: Sensors 2021, 21(21), 7024; [https://www.mdpi.com/1424-8220/21/21/7024]
: https://doi.org/10.3390/s21217024
;Dimitrova Maya, Wagatsuma Hiroaki, Krastev Aleksandar, Vrochidou Eleni, Nunez-Gonzalez J. David
:A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education 
:Frontiers in Robotics and AI    8: 252      [https://www.frontiersin.org/article/10.3389/frobt.2021.715962]
:DOI=10.3389/frobt.2021.715962 
;Martín-Garin, A.; Millán-García, J.A.; Leon, I.; Oregi, X.; Estevez, J.; Marieta, C.
:Pedagogical Approaches for Sustainable Development in Building in Higher Education.
:Sustainability 2021, 13, 10203.
:https://doi.org/10.3390/su131810203
; Fátima A. Saiz *, Garazi Alfaro, Iñigo Barandiaran, Manuel Graña
:Generative Adversarial Networks to Improve the Robustness of Visual Defect Segmentation by Semantic Networks in Manufacturing Components
: Appl. Sci. 2021, 11(14), 6368
: DOI https://doi.org/10.3390/app11146368
;Julian Estevez , Gorka Garate, Jose Manuel Lopez-Guede, Manuel Graña
:A Hybrid Control Approach for the Swing Free Transportation of a Double Pendulum with a Quadrotor
:Applied Sciences  2021, 11(12), 5487;
:  https://doi.org/10.3390/app11125487
;Manuel Graña, José Manuel López-Guede, José Antonio Sáez Muñoz, Álvaro HerreroCosio, HéctorQuintián, EmilioCorchado
:Special issue SOCO-CISIS 2018: New trends in soft computing and computational intelligence in security and its application in industrial and environmental problems
:Neurocomputing Volume 452, 10 September 2021, Pages 414-415  [https://www.sciencedirect.com/science/article/pii/S092523122031554X]
: https://doi.org/10.1016/j.neucom.2020.09.058
;Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado,
:Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers,
:Artificial Intelligence in Medicine, Volume 115, 2021, 102054
: JCR  Q1 en 2019
: https://doi.org/10.1016/j.artmed.2021.102054
;Ricardo Muñoz-Cancino, Sebastian A. Rios,  Marcel Goic and Manuel Graña
: Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile
:Int. J. Environ. Res. Public Health 2021, 18(11), 5507;  [https://www.mdpi.com/1660-4601/18/11/5507]
:https://doi.org/10.3390/ijerph18115507
: JCR 2019 2.849 (Q1 (Public, Environmental & Occupational Health))
;Carlos Miguel Chiesa-Estomba,  Oier Echaniz, Jon Alexander Sistiaga Suarez, Jose Angel Gonzalez-Garcıa,  Ekhine Larruscain, Xabier Altuna,  Alfonso Medela,  and Manuel Graña,
: Machine Learning Models for Predicting Facial Nerve Palsy in Parotid Gland Surgery for Benign Tumors
:journal of surgical research  2021 (262) 57-64
: https://doi.org/10.1016/j.jss.2020.12.053
: JCR 2020 1.841
;Jose Manuel Lopez-Guede, Asier Izquierdo, Julian Estevez, Manuel Graña
:Active Learning for Road Lane Landmark Inventory with V-ELM in Highly Uncontrolled Image Capture Conditions
: Neurocomputing [https://www.sciencedirect.com/science/article/abs/pii/S0925231221001405] Volume 438, 28 May 2021, Pages 259-269
; Emmanouil Varouchakis *, Anna Kamińska-Chuchmała *, Grzegorz Kowalik, Katerina Spanoudaki, Manuel Graña
: Combining geostatistics and remote sensing data to improve spatiotemporal analysis of precipitation
: Sensors 2021, 21(9), 3132; https://doi.org/10.3390/s21093132
;Manuel Graña and Moises Silva
:Impact of machine learning pipeline choices in Autism prediction from functional connectivity data
:International Journal of Neural SystemsVol. 31, No. 04, 2150009 (2021)
: https://doi.org/10.1142/S012906572150009X
==2020==
;Aitor Saenz-Aguirre,Ekaitz Zulueta,Unai Fernandez-Gamiz,Daniel Teso-Fz-Betono,Javier Olarte
:Kharitonov Theorem Based Robust Stability Analysis Of A Wind Turbine Pitch Control System
:Mathematics 8(6), 2020
:DOI: 10.3390/math8060964
:JCR (2019): 1.747 [Q1/T1/D1 Scie-Mathematics (28/325)]
;Josean Ramos-Hernanz,Irantzu Uriarte,Jose Manuel Lopez-Guede,Unai Fernandez-Gamiz,Amaia Mesanza,Ekaitz Zulueta
:Temperature Based Maximum Power Point Tracking For Photovoltaic Modules
:Scientific Reports 10(1), 2020
:DOI: 10.1038/s41598-020-69365-5
:JCR (2019): 3.998 [Q1/T1/D3 Scie-Multidisciplinary Sciences (17/71)]
;Daniel Teso-Fz-Betono,Ekaitz Zulueta,Ander Sanchez-Chica,Unai Fernandez-Gamiz,Aitor Saenz-Aguirre
:Semantic Segmentation To Develop An Indoor Navigation System For An Autonomous Mobile Robot
:Mathematics 8(5), 2020
:DOI: 10.3390/math8050855
:JCR (2019): 1.747 [Q1/T1/D1 Scie-Mathematics (28/325)]
;Ariadna Besga, Darya Chyzhyk, Manuel Grana and Ana González-Pinto
:An imaging and blood biomarkers open dataset on Alzheimer's Disease versus Late Onset Bipolar Disorder  [https://www.frontiersin.org/articles/10.3389/fnagi.2020.583212/full]
: Frontiers in Aging Neuroscience, 12,p:301
: https://doi.org/10.3389/fnagi.2020.583212
: JCR 2019 4.364, Q1 G&G, Q2 Neurosciences
;Patricio Wolff; Sebastian Rios; David Clavijo.; Manuel Graña; Miguel Carrasco;
:Methodologically grounded semantic analysis of large volume of Chilean medical literature data applied to the analysis of medical research funding efficiency in Chile
:Journal of Biomedical Semantics, 11, 12 (2020) [https://rdcu.be/b7SzF]
: https://doi.org/10.1186/s13326-020-00226-w
: JCR 2.614 (2019) (Q1 MCB)
;Marcos Alonso, Alberto Izaguirre, Imanol Andonegui and Manuel Graña
:Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolation
: Sensors 2020, 20(18), 5441; [https://www.mdpi.com/1424-8220/20/18/5441]
: DOI https://doi.org/10.3390/s20185441
: JCR 2019 3.275, Q2 ChA, Q2 EEE, Q1 Instruments & Instrumentation
;Manuel Graña, Marina Aguilar-Moreno, Javier de Lope Asiain, Ibai Baglietto Araquistain, and Xabier Garmendia
:Improved activity recognition combining inertial motion sensors and electroencephalogram signals
: International Journal of Neural Systems, Vol. 30, No. 10 (2020) 2050053 [https://www.worldscientific.com/doi/abs/10.1142/S0129065720500537]
: JCR 2018 6.4 (Q1 CSAI)
: DOI  https://doi.org/10.1142/S0129065720500537
;Juan M. Gorriz, Javier Ramırez, Andres Ortız, Francisco J. Martınez-Murcia, Fermin Segovia, John Sucklinga, Matthew Leminga, Yu-Dong Zhang, Jose Ramon Alvarez-Sanchez, Guido Bologna, Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernandez-Caballero, Eduardo Fernandez-Jover, Pedro Gomez-Vilda, Manuel Graña, Francisco Herrera, Roberto Iglesias, Anna Lekova, Javier de Lope, Ezequiel Lopez-Rubio, Rafael Martıne Tomas, Miguel A. Molina-Cabello, Antonio S. Montemayor, Paulo Novais, Daniel Palacios-Alonso, Juan J. Pantrigo, Bryson R. Payne, Felix de la Paz Lopez, Marıa Angelica Pinninghoff, Mariano Rincon, Jose Santos, Karl Thurnhofer-Hemsi, Athanasios Tsanas, Ramiro Varela, Jose M. Ferrandez
:Artificial intelligence within the interplay between natural and artificial Computation: advances in data science, trends and applications
: Neurocomputing Volume 410, 14 October 2020, Pages 237-270
: https://doi.org/10.1016/j.neucom.2020.05.078
;JAVIER DE LOPE, MANUEL GRAÑA
:BEHAVIORAL ACTIVITY RECOGNITION BASED ON GAZE ETHOGRAMS
: International Journal of Neural Systems Vol. 30, No. 07, 2050025 (2020) (aceptado febrero 2020) [https://www.worldscientific.com/doi/abs/10.1142/S0129065720500252]
: DOI https://doi.org/10.1142/S0129065720500252
: JCR 2018 6.4 (Q1 CSAI)
; Xabier Larrucea, Izaskun Santamaria, Borja Fernandez-Gauna
: Managing Security Debt Across PLC Phases in a VSE Context
: Journal Of Software-evolution And Process 2020; 32:e2214
: DOI https://doi.org/10.1002/smr.2214
: JCR (2018) 1.305 (Q3 CSSE)
;Imane Nizar, Youssef Illoussamen Hala El Ouarrak El Hossein Illoussamen Manuel  Graña, Mohammed Mestari
:Safe and optimal navigation for autonomous multi-rotor aerial vehicle in a dynamic known environment by a decomposition-coordination method
: Cognitive Systems Research, Volume 63, October 2020, Pages 42-54
: https://doi.org/10.1016/j.cogsys.2020.05.003
: Impact Factor: 1.384
;Zalabarria, U., Irigoyen, E., Martinez, Larrea, M., Salazar-Ramirez, A (2020).
:A low-cost, portable solution for stress and relaxation estimation based on a real-time fuzzy algorithm,
:IEEE Access, Volume 8, 1 May 2020, Pages 74118-74128.
;Zalabarria, U., Irigoyen, E., Martinez, R., Lowe, A (2020).
:Online robust R-peaks detection in noisy electrocardiograms using a novel iterative smart processing algorithm,
:Applied Mathematics and Computation, Volume 369, 15 March 2020, Article number 124839.
;Arkaitz Artetxe · Manuel Graña · Andoni Beristain · Sebastian Rıos
:Balanced training of a hybrid ensemble method for imbalanced datasets: A case of emergency department readmission prediction.
: Neural computing and applications 32(10), 5735-5744 [https://link.springer.com/article/10.1007/s00521-017-3242-y]
: JCR 2.505 (Q2 CSAI) (2017) 4.213 (Q1 CSAI) (2018) 4.664 (Q1 CSAI) (2019) 4.774
: DOI 10.1007/s00521-017-3242-y
;Manuel Graña, Michal Wozniak, Sebastian Rios, and Javier de Lope
:Computational Intelligence in Remote Sensing: An Editorial [https://www.mdpi.com/1424-8220/20/3/633]
: Sensors, 20(3), 633
: https://doi.org/10.3390/s20030633
: JCR (2018) 3.031 (Q1 Inst&Inst, Q2 Chem An. Q2 Electrochem.) (2019)  3.275
;Vanesa Lopez-Vazquez, Jose Manuel Lopez-Guede, Simone Marini, Emanuela Fanelli,, Espen Johnsen  and Jacopo Aguzzi
:Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories
:Sensors 2020, 20(3), 726; https://doi.org/10.3390/s20030726
;Manuel Graña, Jose Manuel Lopez-Guede, Jon Irazusta, Idoia Labayen, Ariadna Besga
:Modeling hospital readmissions under frailty conditions for healthy ageing
: Expert systems [https://onlinelibrary.wiley.com/doi/10.1111/exsy.12437] Volume37, Issue2 April 2020, e12437
: http://dx.doi.org/10.1111/exsy.12437
:JCR 2018 1.505 (Q3 CSAI, Q2 CSTM) 2019 1.546
==2019==
;Saenz-Aguirre, A.; Zulueta, E.; Fernandez-Gamiz, U.; Lozano, J.; Lopez-Guede, J.M.
:Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control.
:Energies 2019, 12, 436.
;Aramendia, I.; Fernandez-Gamiz, U.; Zulueta, E.; Saenz-Aguirre, A.; Teso-Fz-Betoño, D.
:Parametric Study of a Gurney Flap Implementation in a DU91W(2)250 Airfoil.
:Energies 2019, 12, 294.
; Martinez, R., Salazar-Ramirez, A., Arruti, A., Irigoyen, E., Martin, J.I., Muguerza, J.
:A Self-Paced Relaxation Response Detection System Based on Galvanic Skin Response Analysis
:IEEE Access, Volume 7, 2019, Article number 8680625, Pages 43730-43741
:JCR 2018: 4.098 (Q1) 2019 3.745 (Q1 Computer science, information systems; engineering electrical and electronic)
: DOI 10.1109/ACCESS.2019.2908445
: https://ieeexplore.ieee.org/document/8680625
;Jahnke, M.D., Cosco, F., Novickis, R., Rastelli, J.P., Gomez-Garay, V.
:Efficient neural network implementations on parallel embedded platforms applied to real-time torque-vectoring optimization using predictions for multi-motor electric vehicles
:Electronics, Volume 8, Issue 2, February 2019, Article number 250
: JCR 2018: 1.764 (Q3)
: DOI 10.3390/electronics8020250
: https://www.mdpi.com/2079-9292/8/2/250
; Julian Estevez, Gorka Garate, Manuel Graña
:Gentle Introduction to Artificial Intelligence for High-School Students using Scratch
: IEEE Access, 7(1):179027-179036 [https://ieeexplore.ieee.org/document/8915693]
:JCR 2018 4.098 (Q1) 2019 3.745, (Q1 Computer science, information systems; engineering electrical and electronic)
: doi 10.1109/ACCESS.2019.2956136
;Kamalaker Dadi,  Mehdi Rahim, Alexandre Abraham, Darya Chyzhyk, Michael Milham, Bertrand Thirion, Gael Varoquaux, for the Alzheimer's Disease Neuroimaging Initiative
:Benchmarking functional connectome-based predictive models for resting-state fMRI [https://www.sciencedirect.com/science/article/pii/S1053811919301594]
: NeuroImage, Volume 192, 15 May 2019, Pages 115-134
: DOI https://doi.org/10.1016/j.neuroimage.2019.02.062
;Xabier Larrucea, Borja Fernandez-Gauna
: A mapping study about the standard ISO/IEC29110
: Computer Standards & Interfaces (2019) Volume 65, July 2019, Pages 159-166
: DOI https://doi.org/10.1016/j.csi.2019.03.005
: JCR 2017: 1.479 (Q2 CSSE 47/104)
;Leyre Torre-Tojal, Jose Manuel Lopez-Guede, Manuel Graña
: Machine learning forest biomass estimation from LiDAR data
: Expert Systems 2019;36:e12399. [https://onlinelibrary.wiley.com/journal/14680394][https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.12399]
: DOI https://doi.org/10.1111/exsy.12399
: Impact factor:1.43; ISI Journal Citation Reports © Ranking: 2017:75/132 (Computer Science, Artificial Intelligence); ISI Journal Citation Reports © Ranking: 2017:48/103 (Computer Science, Theory & Methods)
:JCR 2018 1.505 (Q3 CSAI, Q2 CSTM) 2019 1.546
;Patricio Wolff, Sebastian A. Rios, Manuel Graña
:Setting up standards:  A methodological proposal for pediatric Triage machine learning model construction based on clinical outcomes
: Expert systems with applications Volume 138, 30 December 2019, 112788 [https://www.sciencedirect.com/science/article/pii/S0957417419304841]
: JCR 2018 4.292 (Q1 CSAI,EEE,ORMS) 2019  5.452
: https://doi.org/10.1016/j.eswa.2019.07.005
;Anna Kaminska-Chuchmala *, Manuel Grana
: Indoor Crowd 3D Localization in Big Buildings From WiFi Access Anonymous Data
: Sensors 2019, 19(19), 4211  [https://www.mdpi.com/1424-8220/19/19/4211]
: JCR (2018) 3.031 (Q1 Inst&Inst, Q2 Chem An. Q2 Electrochem.)  (2019)  3.275
; Carlos M Chiesa-Estomba *, Oier Etchaniz, Ekhiñe Larruscain, Jose A  Gonzalez-García, Jon A Sistiaga-Suarez, Manual Graña
:Radiomics and Texture Analysis in Laryngeal Cancer. Looking for new  frontiers in precision medicine thought Imaging analysis.
: Cancers  11(10), 1409;  [https://www.mdpi.com/2072-6694/11/10/1409]
: JCR 2018 6.162 (Q1 Oncology) 2019 6.126
;LEYRE TORRE-TOJAL *, AITOR BASTARRIKA, BRIAN BARRETT, JAVIER MARIA SANCHEZ, JOSE MANUEL LOPEZ-GUEDE, MANUEL GRAÑA
:Prediction of Aboveground Biomass from Low Density LiDAR data: Validation Over P. Radiata Data From a Region North of Spain
: Forests, 10(9), 819 [https://www.mdpi.com/1999-4907/10/9/819]
:DOI https://doi.org/10.3390/f10090819
: JCR (2018) 2.116 (Q2 Forestry)
;R. Delgado and J. D. Núñez-González,
:“Enhancing confusion entropy (cen) for binary and multiclass classification,”
:PloS one, vol. 14, no. 1, p. e0210264, 2019.
: https://doi.org/10.1371/journal.pone.0210264
: JCR  (2017) 2.766 (Q1 Mult Sci) (2018) 2.776 (Q2 Mutl Sci)
;Jörg Keller and Manuel Grana and Rafał Kozik and Tomasz Andrysiak and Michał Choraś
:Recent Advances, Emerging Methods and Applications of Pattern Recognition
: Journal of Universal Computer Science, 23(6): 569--570 [http://www.jucs.org/jucs_25_6/recent_advances_emerging_methods]
: JCR 2018 0.910 (Q4 CSSE, Q3 CSTM)
;Asier Garmendia, Manuel Graña,  Jose Manuel Lopez Guede, Sebastian Rios
:Neural and statistical predictors for time to readmission in emergency departments: a case study
: Neurocomputing Volume 354, 18 August 2019, Pages 3-9 [https://www.sciencedirect.com/science/article/pii/S0925231219304564?via%3Dihub]
: https://doi.org/10.1016/j.neucom.2018.05.135
: JCR 2018 4.072 (Q1 CSAI) 2019  4.438
;Patricio Wolff Manuel Graña, Sebastian A. Ríos, Maria Begoña Yarza
:Machine learning readmission risk modeling- a pediatric case study
:Biomed Research International vol. 2019, Article ID 8532892, 9 pages, (open access) [https://www.hindawi.com/journals/bmri/2019/8532892/]
: https://doi.org/10.1155/2019/8532892.
: JCR (2017) 2.583 (Q2 BAM, Q3 MRE) (2018) 2.197 (Q3 BAM, Q3 MRE)
;J.L. Jiménez Bascones, Manuel Graña, J.M. Lopez-Guede
:A solver-ensemble strategy to deal with occlusions in the labeling of clouds of motion markers
:Neurocomputing (online) [https://www.sciencedirect.com/science/article/pii/S0925231219303261] (open access)  Volume 353, 11 August 2019, Pages 96-105
: https://doi.org/10.1016/j.neucom.2018.05.132
: JCR 2018 4.072 (Q1 CSAI) 2019  4.438
;Manuel Graña, Marcos Alonso, and Alberto Izaguirre
:A PANORAMIC SURVEY ON GRASPING RESEARCH TRENDS AND TOPICS
: Cybernetics and Systems (aceptado 30 noviembre 2018) Volume 50, 2019 - Issue 1, Pages 40-57
: https://doi.org/10.1080/01969722.2018.1558013
: JCR 2018 1.681 (Q3 CSC)
; Manuel Graña,  Leire Ozaeta, Darya Chyzhyk
: Dynamic Causal Modeling and Machine Learning for Effective Connectivity in Auditory Hallucination
: Neurocomputing Volumes 326–327, 31 January 2019, Pages 61-68  [http://www.sciencedirect.com/science/article/pii/S0925231217315291]
: JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317
: https://doi.org/10.1016/j.neucom.2016.08.157
: JCR 2018 4.072 (Q1 CSAI) 2019  4.438
; Sebastian Rios, Felipe Aguilera, JDavid Nuñez Gonzalez, Manuel Graña
: Semantically enhanced network analysis for influencer identification in online social networks
: Neurocomputing Volumes 326–327, 31 January 2019, Pages 71-81
: JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317 (2017) 3.241 (Q1 CSAI)  (2018) 4.072 (Q1 CSAI) 2019  4.438
: https://doi.org/10.1016/j.neucom.2017.01.123
; Asier Garmendia, Sebastian Rios, Jose Manuel Lopez Guede, Manuel Graña
: Triage prediction in pediatric patients with respiratory problems
: Neurocomputing Volumes 326–327, 31 January 2019, Pages 161-167  [http://www.sciencedirect.com/science/article/pii/S0925231217315230]
: JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317 (2017) 3.241 (2018) 4.072 (Q1 CSAI) 2019  4.438
: https://doi.org/10.1016/j.neucom.2017.01.122
;Aitor Saenz-Aguirre,Ekaitz Zulueta,Unai Fernandez-Gamiz,Javier Lozano  andJose Manuel Lopez-Guede
:Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control
: Energies 2019, 12(3), 436; https://doi.org/10.3390/en12030436
==2018==
; Juan Luis Osa, Naiara Ortega, Gorka Vidal, Borja Fernandez-Gauna, Asier Carballo, Ibon Tolosa
: Future of the discrete element method in the modelling of grinding wheels
: Engineering Computations (2018) Vol. 35 Issue: 6, pp.2255-2271
: JCR 2016: 1.01 (Q3 ENG-MUL 52/85)
: https://doi.org/10.1108/EC-11-2017-0450
;M Graña, JM Lopez-Guede, A Herrero, H Quintian, E Corchado
: Editorial: Special issue CISIS 2016
: Logic Journal of the IGPL Volume 26, Issue 6, 27 November 2018, Pages 567–568
: JCR 2018 0.609 (Q4 MA, Q3 M, Q2 L)
;AITOR MORENO-FERNANDEZ-DE-LECETA, JOSE MANUEL LOPEZ-GUEDE, LEIRE EZQUERRO INSAGURBE, NORA RUIZ DE ARBULO, MANUEL GRAÑA
:A novel methodology for clinical semantic annotations assessment
: Logic Journal of the IGPL  Volume 26, Issue 6, 27 November 2018, Pages 569–580
: DOI [ https://doi.org/10.1093/jigpal/jzy021]
: JCR 2018 0.609 (Q4 MA, Q3 M, Q2 L)
; Arkaitz Artetxe, Andoni Beristain, Manuel Graña
:Predictive models for hospital readmission risk: A systematic review of methods
: Computer Methods and Programs in Biomedicine Volume 164, October 2018, Pages 49-64 [https://www.sciencedirect.com/science/article/pii/S0169260717313998]
:https://doi.org/10.1016/j.cmpb.2018.06.006
: JCR (2017) 2.674 (Q2 CSIA, Q1 CSTM, Q2 EB, Q2 MI) (2018) 3.424  (Q1 CSIA, Q1 CSTM, Q2 EB, Q1 MI)
; Leire Ozaeta, Manuel Graña, Maya Dimitrova, Alexander Krastev
: Child oriented storytelling with NAO robot in hospital environment: preliminary application results.
:Problems of Engineering Cybernetics and Robotics Journal, No 69:21-29. Bulgarian Academy of Sciences Publishing. [[media:StorytellingNAOpaperLeire.pdf|pdf]] [http://www.iit.bas.bg/PECR/69_contents.html]
:Print ISSN: 0204-9848, Online ISSN: 1314-409X
; Jose Manuel Lopez-Guede, Julian Estevez, Asier Garmendia, Manuel Graña
: Making Physical Proofs of Concept of Reinforcement Learning Control in Single Robot Hose Transport Task Complete
: Neurocomputing [http://www.sciencedirect.com/science/article/pii/S0925231217312237] Volume 271, 3 January 2018, Pages 95-103
: JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317
;Borja Fernandez-Gauna;Juan Luis Osa;Manuel Graña
:Experiments of Conditioned Reinforcement Learning in Continuous Space Control Tasks
: Neurocomputing (acept 3 august) Volume 271, 3 January 2018, Pages 38-47 [http://www.sciencedirect.com/science/article/pii/S0925231217312201]
: JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317
: DOI 10.1016/j.neucom.2016.08.155
==2017==




;Ariadna Besga-Basterra, Darya Chyzhyk, Itxaso González-Ortega, Alexandre Savio, Borja Ayerdi, Jon Echeveste, Manuel Graña, Ana González-Pinto
: White matter anatomical correlates with biomarkers discriminating between Alzheimer’s Disease and Late Onset Bipolar Disorder by eigenanatomy on fractional anisotropy imaging
: Current Alzherimer Research,
: JCR (2013) 3.796 (Q1 Clin Neurol, Q2 Neurosciences)


; Ion Marques,  Manuel Graña, and Miguel Velez-Reyes
:Towards human skin detection via hyperspectral image unmixing
: GRSL
: JCR (2013) 1.809 (Q2 EEE, Q2 GEOCHEMISTRY & GEOPHYSICS, Q2 ISPT, Q2 remote sensing)


; Dacosta-Aguayo R, Graña M, Falcón C, Fernández-Andújar M, López-Cancio E, Cáceres C, Bargalló N, Barrios M, Clemente IC, Torán Pera, Forés Rosa, Dávalos A, Tibor A and Mataró M
; Lide Arenaza; María medrano; María Amasene; Beatriz Rodríguez-Vigil; Ignacio Diez; Manuel Graña; Ignacio Tobalina; Edurne Maiz; Edurne Arteche; Eider Larrarte; Inge Huybrechts; Catherine davis; Jonatan Ruiz; Francisco ortega; Javier Margareto; Idoia Labayen;
:Multimodal imaging of the healthy contralesional hemisphere provides insight into neural, functional and cognitive recovery in ischemic stroke patients
:Prevention of diabetes in overweight/obese children through a family-based intervention program including supervised exercise (PREDIKID project): study protocol for a randomized controlled trial
:
: Trials  (2017) 18:372  [http://rdcu.be/uTUw]
: DOI 10.1186/s13063-017-2117-y
: JCR 1.969 (2017) 2.067 (Q3 MRE)
 
 
;Ariadna Besga, Darya Chyzhyk, Itxaso Gonzalez Ortega, Jon Echeveste, Marina Grana-Lecuona, Manuel Grana, Ana González-Pinto
:White Matter Tract Integrity in Alzheimer’s Disease versus Late Onset Bipolar Disorder and its Correlation with Systemic Inflammation and Oxidative Stress Biomarkers
: Frontiers in Aging Neuroscience, 9:179  [http://journal.frontiersin.org/article/10.3389/fnagi.2017.00179]
: DOI  https://doi.org/10.3389/fnagi.2017.00179
: JCR 2015 4.348 (Q1 GG. Q1 Neuroscience) 2016 4.504 (2017) 3.582 (Q2 GG, Q2 Neuroscience)
 
 
;Arkaitz Artetxe, Borja Ayerdi, Manuel Graña, Sebastian Rios
:Using Anticipative Hybrid Extreme Rotation Forest to Predict Emergency Service Readmission Risk
: Journal of Computational Science, Volume 20, May 2017, Pages 154–161 (aceptado 23 de diciembre) [http://www.sciencedirect.com/science/article/pii/S1877750316305130]
: DOI http://dx.doi.org/10.1016/j.jocs.2016.12.008
: JCR (2015) 1.078 (2016) 1.748 (2017) 1.925 (Q3 CSIA, Q2 CSTM)
; Manuel Graña, Leire Ozaeta, and Darya Chyzhyk
:Resting State Effective Connectivity Allows Auditory Hallucination Discrimination
: International Journal of Neural Systems,27(5): 1750019
:DOI: http://dx.doi.org/10.1142/S0129065717500198
: JCR (2015) 6.085 (Q1 CSAI) (2016) 6.333
 
;Alexandre M. Savio, Michael Schutte, Manuel Graña and Igor Yakushev
:Pypes: Workflows for Processing Multimodal Neuroimaging Data
:Front. Neuroinform., 11 April 2017 | https://doi.org/10.3389/fninf.2017.00025
: JCR 2015 3.047 (Q1 MCB, Q2 Neuroscience) 2016 3.870
 




;Jose Manuel Lopez-Guede, Borja Fernandez-Gauna, Manuel Graña, Ekaitz Zulueta
;ASIER GARMENDIA, MANUEL GRAÑA, JOSE MANUEL LOPEZ-GUEDE, SEBASTIAN RIOS
:Further Results Learning Hose Transport Control with Q-learning
: Predicting patient hospitalization after emergency readmission
: Journal of Physical Agents (aceptado con revisiones)
: Cybernetics and systems  VOL. 48, NO. 3, 182–192
: [doi  http://dx.doi.org/10.1080/01969722.2016.1276772]
: 2015 Impact Factor: 0.888  (Q3) 2016 1.434 (Q3)


; Borja Fernandez-Gauna, Unai Fernandez-Gamiz, and Manuel Graña
: Variable Speed Wind Turbine Controller Adaptation by Reinforcement Learning
: Integrated Computer-Aided Engineering 24(1) (2017) 27–39 [http://content.iospress.com/articles/integrated-computer-aided-engineering/ica531]
: JCR (2014) 4.698 (Q1 CSAI, CSIA, ENG) (2015) 4.981 (2016) 4.981
: DOI 10.3233/ICA-160531


; Borja Ayerdi, Manuel Grana
; P. Martínez-Filgueira, U. Fernandez-Gamiz, E. Zulueta, I. Errasti, B. Fernandez-Gauna
: Adaptive Hybrid Extreme Rotation Forest
: Parametric study of low-profile vortex generators
: Neural Processing Letters
: International Journal of Hydrogen Energy 42(28), 17700-17712
: JCR 2013 1.237 (Q2 CSAI)
: JCR (2015) 3.205 (Q2 ID, EI, HQ)
: [doi http://dx.doi.org/10.1016/j.ijhydene.2017.03.102]


; Julian  Estevez, Manuel Graña, and Jose Manuel Lopez-Guede
: Online fuzzy adaptive PD control for cooperative aerial transportation of deformable linear objects
: Integrated Computer-Aided Engineering (2017) vol. 24, no. 1, pp. 41-55, 2017 [http://content.iospress.com/articles/integrated-computer-aided-engineering/ica530]
: JCR (2014) 4.698 (Q1 CSAI, CSIA, ENG) (2015) 4.981  (2016) 4.981


; Borja Ayerdi, Bartosz Krawczyk, Manuel Graña, Michal Wozniak
; Pawel Ksieniewicz, Manuel Grana and Michal Wozniak
: Combining One-Class Classifiers for Hyperspectral Image Segmentation
:Paired Feature Multilayer Ensemble
: Fundamenta Informaticae
: Journal of Intelligent and Fuzzy Systems,  [http://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs169139] vol. 32, no. 2, pp. 1427-1436, 2017
: Impact Factor 2014: 1.812, (Q2) 2015 1.004 (Q3) 2016 1.004


;Borja Fernandez-Gauna; Jose Manuel Lopez-Guede; Ismael Etxeberria-Agiriano; Igor Ansoategi; Manuel Graña
==2016==
:Reinforcement Learning endowed with safe veto policies to learn the control of L-MCRS
:Information Sciences (1a revision)
: JCR 2013 3.893 (Q1 CSAI)


;Borja Fernandez-Gauna; Ismael Etxeberria-Agiriano; Manuel Graña
;J Maiora, G Garcia, B Ayerdi, M Grana, M De Blas
:Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
:Active Learning enhanced with Expert Knowledge for Computed Tomography Image Segmentation
:InImpact: The Journal of Innovation Impact 6 (1), 12-15 [http://inimpact.innovationkt.org]




;Darya Chyzhyk, Alexandre Savio, Manuel Graña
;J. David Nuñez-Gonzalez, Borja Ayerdi, Manuel Graña, Michał Wozniak
:Computer Aided Diagnosis of Schizophrenia on resting state fMRI data by Ensembles of ELM
:A New Heuristic for Influence Maximization in Social Networks
: Logic journal of the IGPL (aceptado 29 abril), Log J IGPL (2016) 24 (6): 996-1014.
: DOI: https://doi.org/10.1093/jigpal/jzw048
: JCR 2015 0.434 (Q4)


==aceptados ==
; Manuel Graña,  Darya Chyzhyk
: Image Understanding Applications of Lattice Auto-Associative Memories
: IEEE Transactions on Neural Networks and Learning Systems, (aceptdo 24 julio 2015) Volume: 27, Issue: 9, Sept. 2016 pp.1920 - 1932 [[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7210195 online]]
: DOI 10.1109/TNNLS.2015.2461451
: JCR (2014) 4.291 (Q1 CSAI) (2015) 4.854 (2016) 6.108


;Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Amaury Lendasse
;Bogusław Cyganek, Manuel Graña, Piotr Porwik & Michał Woźniak
:Brain MRI Morphological Patterns Extraction Tool based on Extreme Learning Machine and Majority Vote Classification
: Intelligent Methods Applied to Health-Care Information Systems
:Neurocomputing (aceptado 6 de marzo)
: Applied Artificial Intelligence, 30:6, 495-496,  
: DOI: 10.1080/08839514.2016.1193713
: JCR 2015 0.540 (CSAI Q4, EEE Q4) 2016 0.652


; Bogusław Cyganek, Manuel Graña, Bartosz Krawczyk, Andrzej Kasprzak, Piotr Porwik, Krzysztof Walkowiak & Michał Woźniak
: A Survey of Big Data Issues in Electronic Health Record Analysis
: Applied Artificial Intelligence, 30:6, 497-520, [http://www.tandfonline.com/doi/full/10.1080/08839514.2016.1193714]
: DOI: 10.1080/08839514.2016.1193714
: JCR 2015 0.540 (CSAI Q4, EEE Q4) 2016 0.652


;I. Macía, M. de Blas, J.H. Legarreta, L. Kabongo, O. Hernández, J.M. Egaña, J.I. Emparanza, A. García-Familiar, M. Graña
;I. Macía, M. de Blas, J.H. Legarreta, L. Kabongo, O. Hernández, J.M. Egaña, J.I. Emparanza, A. García-Familiar, M. Graña
:Standard and Fenestrated Endograft Sizing in EVAR Planning: Description and Validation of a Semi-automated 3D Software
:Standard and Fenestrated Endograft Sizing in EVAR Planning: Description and Validation of a Semi-automated 3D Software
: Computerized Medical Imaging and Graphics [http://www.journals.elsevier.com/computerized-medical-imaging-and-graphics/] (accept 16 enero 2015)
: Computerized Medical Imaging and Graphics [http://www.sciencedirect.com/science/article/pii/S0895611115000099] [http://www.journals.elsevier.com/computerized-medical-imaging-and-graphics/] (accept 16 enero 2015) Volume 50, June 2016, Pages 9–23
: JC· 2013 1.496 (Q3 RNMMI)
: JC· 2013 1.496 (Q3 RNMMI) 2015 1.385 (Q3 EB; Q3 RNMMI; ) 2016 1.738
 
 
;Borja Ayerdi, Manuel Graña
: Hyperspectral Image Analysis by Spectral–Spatial Processing and Anticipative Hybrid Extreme Rotation Forest Classification
: IEEE Transactions on Geoscience and Remote Sensing (TGARS) Volume: 54(5) : 2627 - 2639, [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7359176]
: DOI: 10.1109/TGRS.2015.2503886
: JCR 2014 - 3.514 (2015) 3.360 (Q1 GG; Q1 EEE; Q1 RS; Q1 ISPT) (2016) 4.942
 
;Ariadna Besga-Basterra, Darya Chyzhyk, Itxaso González-Ortega, Alexandre Savio, Borja Ayerdi, Jon Echeveste, Manuel Graña, Ana González-Pinto
: Eigenanatomy on fractional anisotropy imaging provides white matter anatomical features discriminating between Alzheimer’s Disease and Late Onset Bipolar Disorder
: Current Alzheimer Research, 13(5): 557 - 565  [http://benthamscience.com/journal/contents.php?journalID=car&issueID=140733]
: JCR (2013) 3.796 (Q1 Clin Neurol, Q2 Neurosciences) (2014) 3.889 (2015) 3.145 (Q2 CN; Q2 Neurosciences) (2016) 2.952
:DOI: 10.2174/1567205013666151116125349
 
;NAIARA MURO, EIDER SANCHEZ, CARLOS TORO, MANUEL GRAÑA, EDUARDO CARRASCO, FRANK GUIJARRO, and SEBASTIAN A. RÍOS
:EXPERIENCE BASED ELECTRONIC HEALTH RECORDS [http://www.tandfonline.com/doi/full/10.1080/01969722.2016.1128774]
: Cybernetics and Systems Volume 47, Issue 1-2, 2016, 126-139
: 2014 Impact Factor: 0.840 ; 2015 0.880 (Q3 CSC)


;JULIAN ESTEVEZ, JM. LOPEZ-GUEDE, MANUEL GRAÑA
: Particle Swarm Optimization quadrotor control for cooperative aerial transportation of deformable linear objects
: Cybernetics and Systems  Volume 47, Issue 1-2, 2016,  4-16
: DOI http://dx.doi.org/10.1080/01969722.2016.1128759


;A. Suberbiola, E. Zulueta, J.M. Lopez-Guede, I. Etxeberria-Agiriano, and M. Grana
;Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Amaury Lendasse
: Arm Orthosis/Prosthesis Movement Control Based on Surface EMG Signal
:Brain MRI Morphological Patterns Extraction Tool based on Extreme Learning Machine and Majority Vote Classification
: International Journal of Neural Systems
:Neurocomputing (aceptado 6 de marzo) [http://www.sciencedirect.com/science/article/pii/S0925231215011388] Volume 174, Part A, 22 January 2016, Pages 344–351
: JCR 2014 6.056 (Q1 CSAI)
: JCR (2015) 2.392 (Q1 CSAI) (2016) 3.317


;J. David Nuñez-Gonzalez, Manuel Graña, Bruno Apolloni,  
; Borja Ayerdi, Manuel Graña
:Reputation Features for Trust Prediction in Social Networks,
: Hyperspectral Image Nonlinear Unmixing and Reconstruction by ELM Regression Ensemble
:Neurocomputing (aceptado)
: Neurocomputing [http://www.sciencedirect.com/science/article/pii/S0925231215011339] Volume 174, Part A, 22 January 2016, Pages 299–309
: JCR 2013 2.005 (Q1 CSAI)
: doi 10.1016/j.neucom.2015.04.10
: JCR (2015) 2.392 (Q1 CSAI) (2016) 3.317


;Ion Marques, Manuel Graña, Anna Kamińska-Chuchmała, Bruno Apolloni,
:An experiment of subconscious intelligent social computing on household appliances,
:Neurcomputing (aceptado agosto 2014)
: JCR 2013 2.005 (Q1 CSAI)


; Manuel Graña, Darya Chyzhyk, Carlos Toro, Sebastian Rios
: Innovations in Healthcare and Medicine editorial
: Computers in Biology and Medicine [http://www.sciencedirect.com/science/article/pii/S0010482516300579] Volume 72, 1 May 2016, Pages 226–228
:DOI 10.1016/j.compbiomed.2016.03.003
: JCR (2015) 1.521 (Q2 Biology; Q3 CSIA; Q3 EB; Q2 MCB; ) (2016) 1.836


;Fernández-Andújar M, Doornink F, Dacosta-Aguayo R, Soriano-Raya JJ, Miralbell J, Bargalló N, López-Cancio E, Pérez de la Ossa N, Gomis M, Millán M, ;Barrios M, Cáceres C, Clemente I, Dávalos A, Mataró M
==2015==
: Remote thalamic microstructural abnormalities related to cognitive function in ischemic stroke patients
: Neuropsychology (aceptado 4 de abril 2014)
: JCR (2012): 3.477 (Q1)




;Maria Mataró, Juan José Soriano-Raya, Jorge López-Olóriz, Júlia Miralbell, Rosalia Dacosta-Aguayo
;PAWEL KSIENIEWICZ, DARIUSZ JANKOWSKI, BORJA AYERDI, KONRAD JACKOWSKI, MICHAL WOZNIAK, MANUEL GRANA
:CEREBROVASCULAR MARKERS IN LOWERED COGNITIVE FUNCTION
:A Novel Hyperspectral Segmentation Algorithm - Concept and Evaluation
:Journal of Alzheimer Disease, (accepted)
: Logic journal IGPL (aceptado noviembre 2014)  (2015) 23 (1): 105-120 [http://jigpal.oxfordjournals.org/content/early/2014/12/29/jigpal.jzu045.short]
:JCR (2013) 3.612  (Q1 clinical neu.)
: JCR 2013 0.530 (Q2 Logic, Q3 Mathematics, Q4 MA) (2014) 0.461 (Q3 Logic, Q3 Mathematics, Q4 MA)


== online first==
; Medrano M, Maiz E, Maldonado-Martín S, Arenaza L, Rodríguez-Vigil B, Ortega FB, Ruiz JR, Larrarte E, Díez I, Sarasúa A, Tobalina I, Barrenechea L, Pérez-Asenjo J, Kannengiesser S, Manhães-Savio A, Echaniz O, Labayen I
: The effect of a multidisciplinary intervention program on hepatic adiposity in overweight-obese children: protocol of the EFIGRO study
: Contemporary Clinical Trials, November 2015 Volume 45, Part B, Pages 346–355
: DOI: 10.1016/j.cct.2015.09.017
 
;Besga, A., B. Ayerdi, G. Alcalde, A. Manzano, P. Lopetegui, M. Graña, A. Gonzalez-Pinto
:"Risk factors for emergency department short time readmission in stratified population", [http://dx.doi.org/10.1155/2015/685067]
: BioMed Research International 2015 (2015) Article ID  685067.
: JCR (2015) 2.134
:


;Ariadna Besga, Itxaso González-Ortega, Enrique Echeburúa, Alexandre Savio, Borja Ayerdi, Darya Chyzhyk, Jose LM Madrigal, Juan C. Leza, Manuel Graña, Ana González-Pinto
: "Discrimination between Alzheimer’s Disease and Late Onset Bipolar Disorder using multivariate analysis"
: Frontiers in Aging Neuroscience, 7:231
: JCR (2014) - 4.000 (2015) 4.348
: DOI 10.3389/fnagi.2015.00231


;DARYA CHYZHYK, MANUEL GRAÑA, DÖST ÖNGÜR, ANN K SHINN
;Jose Manuel Lopez-Guede, Aitor Moreno-Fernandez-de-Leceta, Alexeiw Martinez-Garcia, Manuel Graña
:DISCRIMINATION OF SCHIZOPHRENIA AUDITORY HALLUCINATORS BY MACHINE LEARNING OF RESTING-STATE FUNCTIONAL MRI
:Lynx: Automatic elderly behavior prediction in home tele care [http://www.hindawi.com/journals/bmri/aip/201939/]
: International Journal of Neural Systems [http://www.worldscientific.com/doi/abs/10.1142/S0129065715500070?src=recsys&journalCode=ijns&]
: Biomed Research International (Hindawi) (aceptado 22 oct) Volume 2015 (2015), Article ID 201939,
: JCR 2014 6.056 (Q1 CSAI)
: JCR (2014) 1.579 (2015) 2.134




; Alexandre Savio, Manuel Graña
; Alexandre Savio, Manuel Graña
:Local Activity Features for Computer Aided Diagnosis of Schizophrenia on resting-state fMRI
:Local Activity Features for Computer Aided Diagnosis of Schizophrenia on resting-state fMRI
:Neurocomputing (aceptado 10 enero 2015) [http://authors.elsevier.com/sd/article/S0925231215002970]
:Neurocomputing (aceptado 10 enero 2015) [http://authors.elsevier.com/sd/article/S0925231215002970] Volume 164, 21 September 2015, Pages 154–161
: DOI 10.1016/j.neucom.2015.01.079
: DOI 10.1016/j.neucom.2015.01.079
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)


; Manuel Graña, Eider Sanchez, Michal Wozniak
: Special issue on innovations in medicine and healthcare
: Biosystems Engineering, Volume 138, October 2015, Pages 1–3 [http://www.sciencedirect.com/science/article/pii/S1537511015001099]
: DOI 10.1016/j.biosystemseng.2015.06.009
;Borja Fernandez-Gauna; Jose Manuel Lopez-Guede; Ismael Etxeberria-Agiriano; Igor Ansoategi; Manuel Graña
:Reinforcement Learning endowed with safe veto policies to learn the control of L-MCRS
:Information Sciences Volume 317, 1 October 2015, Pages 25–47 [http://www.sciencedirect.com/science/article/pii/S002002551500273X]
: DOI 10.1016/j.ins.2015.04.005
: JCR (2014) 4.038 (Q1 CSAI) (2015) 3.364


;Lopez-Guede, Jose M.;  Fernandez-Gauna, Borja; Graña, Manuel;  Zulueta, Ekaitz;  
;Lopez-Guede, Jose M.;  Fernandez-Gauna, Borja; Graña, Manuel;  Zulueta, Ekaitz;  
:Training Multi-agent systems by Q-learning: approaches and empirical results
:Training Multi-agent systems by Q-learning: approaches and empirical results
: Computational Intelligence [http://onlinelibrary.wiley.com/doi/10.1111/coin.12035/abstract]
: Computational Intelligence vol 31 num 3 pp. 498-512 [http://onlinelibrary.wiley.com/doi/10.1111/coin.12035/abstract]
: DOI: 10.1111/coin.12035
: DOI: 10.1111/coin.12035
: JCR (2012) 1.000 (Q3 CSAI) (2013) 0.870
: JCR (2012) 1.000 (Q3 CSAI) (2013) 0.870 (2014) 0.673
 
;J. David Nuñez-Gonzalez, Manuel Graña, Bruno Apolloni,
:Reputation Features for Trust Prediction in Social Networks,
:Neurocomputing Volume 166, 20 October 2015, Pages 1–7 [http://www.sciencedirect.com/science/article/pii/S0925231215005494]
: DOI 10.1016/j.neucom.2014.10.099
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
 
;Ion Marques, Manuel Graña, Anna Kamińska-Chuchmała, Bruno Apolloni,
:An experiment of subconscious intelligent social computing on household appliances,
:Neurocomputing, Volume 167, 1 November 2015, Pages 32–43 (aceptado agosto 2014) [http://www.sciencedirect.com/science/article/pii/S0925231215005718]
: DOI 10.1016/j.neucom.2014.08.103
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)


;PAWEL KSIENIEWICZ, DARIUSZ JANKOWSKI, BORJA AYERDI, KONRAD JACKOWSKI, MICHAL WOZNIAK, MANUEL GRANA
; Darya Chyzhyk, Alexandre Savio, Manuel Graña
:A Novel Hyperspectral Segmentation Algorithm - Concept and Evaluation
: Computer Aided Diagnosis of Schizophrenia on resting state fMRI data by Ensembles of ELM
: Logic journal IGPL (aceptado noviembre 2014) [http://jigpal.oxfordjournals.org/content/early/2014/12/29/jigpal.jzu045.short]
: Neural Networks Volume 68, August 2015, Pages 23–33. [http://www.sciencedirect.com/science/article/pii/S0893608015000805]
: JCR 2013 0.530 (Q2 Logic, Q3 Mathematics, Q4 MA)
: DOI information: 10.1016/j.neunet.2015.04.002
: JCR (2013) 2.076 (Q1 CSAI, Q3 Neurosciences) (2014) 2.708


; Chyzhyk D, Graña M, Öngür D, Shinn AK.
: Discrimination of Schizophrenia Auditory Hallucinators by Machine Learning of Resting-State Functional MRI.
: International Journal of Neural Systems 25(3):1550007, 2015. [[media: Chyzhyk-IJNS-2015.pdf|pdf]] [http://www.worldscientific.com/doi/abs/10.1142/S0129065715500070?src=recsys&journalCode=ijns&]
: JCR 2013 6.056 (Q1 CSAI) (2014) 6.507 (2015) 6.085
;A. Suberbiola, E. Zulueta, J.M. Lopez-Guede, I. Etxeberria-Agiriano,  and M. Graña
: Arm Orthosis/Prosthesis Movement Control Based on Surface EMG Signal
: International Journal of Neural Systems 25(3):1550009 [http://www.worldscientific.com/doi/10.1142/S0129065715500094] (2015)
: JCR 2013 6.056 (Q1 CSAI) (2014) 6.507


; MANUEL GRAÑA, J. DAVID NUÑEZ-GONZALEZ, LEIRE OZAETA, ANNA KAMIŃSKA-CHUCHMAŁA
; MANUEL GRAÑA, J. DAVID NUÑEZ-GONZALEZ, LEIRE OZAETA, ANNA KAMIŃSKA-CHUCHMAŁA
:Experiments of Trust Prediction in Social Networks by Artificial Neural Networks
:Experiments of Trust Prediction in Social Networks by Artificial Neural Networks [http://www.tandfonline.com/doi/full/10.1080/01969722.2015.1007725#.VRJqFkvXmlI]
: Cybernetics and Systems  
: Cybernetics and Systems Volume 46, Issue 1-2, 2015 pages 19-34
: JCR (2012): 0.973 (Q3 CSC) (2013) 0.507 (2014) 0.840
: DOI:10.1080/01969722.2015.1007725
: DOI:10.1080/01969722.2015.1007725


; EIDER SANCHEZ, CARLOS TORO, MANUEL GRAÑA, CESAR SANIN, EDWARD SZCZERBICKI
; EIDER SANCHEZ, CARLOS TORO, MANUEL GRAÑA, CESAR SANIN, EDWARD SZCZERBICKI
:Extended Reflexive Ontologies for the generation of clinical recommendations
:Extended Reflexive Ontologies for the generation of clinical recommendations [http://www.tandfonline.com/doi/full/10.1080/01969722.2015.1007723#abstract]
: Cyberntetics and Systems
: Cyberntetics and Systems Volume 46, Issue 1-2, 2015 pages 4-18
 
: JCR (2012): 0.973 (Q3 CSC) (2013) 0.507 (2014) 0.840
==2015==
 




Línea 128: Línea 953:
: Quasi-stationary State Transportation of a Hose with Quadrotors
: Quasi-stationary State Transportation of a Hose with Quadrotors
: Robotics and Automous Systems (aceptado 5 sept) Volume 63, Part 2, January 2015, Pages 187–194 [http://www.sciencedirect.com/science/article/pii/S0921889014001791]
: Robotics and Automous Systems (aceptado 5 sept) Volume 63, Part 2, January 2015, Pages 187–194 [http://www.sciencedirect.com/science/article/pii/S0921889014001791]
: JCR (2013) 1.105, (Q3 Robotics, Q3 CSAI, Q3 ACS)
: JCR (2013) 1.105, (Q3 Robotics, Q3 CSAI, Q3 ACS) (2014) 1.256 (Q2 Robotics, Q3 CSAI, Q3 ACS)




Línea 135: Línea 960:
: Neurocomputing Volume 150, Part A, 20 February 2015, Pages 1–3
: Neurocomputing Volume 150, Part A, 20 February 2015, Pages 1–3
:DOI 10.1016/j.neucom.2014.09.039
:DOI 10.1016/j.neucom.2014.09.039
: JCR 2013 2.005 (Q1 CSAI)
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)




Línea 142: Línea 967:
: Neurocomputing Volume 151, Part 1, 3 March 2015, Pages 151–160
: Neurocomputing Volume 151, Part 1, 3 March 2015, Pages 151–160
: DOI 10.1016/j.neucom.2014.09.075
: DOI 10.1016/j.neucom.2014.09.075
: JCR 2013 2.005 (Q1 CSAI)
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)


;Darya Chyzhyk, Rosalía Dacosta-Aguayo, Maria Mataró, Manuel Graña
;Darya Chyzhyk, Rosalía Dacosta-Aguayo, Maria Mataró, Manuel Graña
Línea 148: Línea 973:
: Neurocomputing Volume 150, Part A, 20 February 2015, Pages 26–36 [http://www.sciencedirect.com/science/article/pii/S0925231214012466]
: Neurocomputing Volume 150, Part A, 20 February 2015, Pages 26–36 [http://www.sciencedirect.com/science/article/pii/S0925231214012466]
:DOI:10.1016/j.neucom.2014.01.077
:DOI:10.1016/j.neucom.2014.01.077
: JCR 2013 2.005 (Q1 CSAI)
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)




Línea 154: Línea 979:
:Spatially regularized semisupervised Ensembles of Extreme Learning Machines for hyperspectral image segmentation
:Spatially regularized semisupervised Ensembles of Extreme Learning Machines for hyperspectral image segmentation
: Neurocomputing (aceptado 18 de enero 2014) Volume 149, Part A, 3 February 2015, Pages 373–386 [http://www.sciencedirect.com/science/article/pii/S0925231214011424]  
: Neurocomputing (aceptado 18 de enero 2014) Volume 149, Part A, 3 February 2015, Pages 373–386 [http://www.sciencedirect.com/science/article/pii/S0925231214011424]  
: JCR 2013 2.005 (Q1 CSAI)
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
: DOI 10.1016/j.neucom.2014.01.068
: DOI 10.1016/j.neucom.2014.01.068


Línea 161: Línea 986:
:Single robot dynamics approximation by ELM for Reinforcement Learning for hose control
:Single robot dynamics approximation by ELM for Reinforcement Learning for hose control
: Neurocomputing Volume 150, Part A, 20 February 2015, Pages 116–123
: Neurocomputing Volume 150, Part A, 20 February 2015, Pages 116–123
: JCR 2013 2.005 (Q1 CSAI)
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)




Línea 167: Línea 992:
:A Lattice Computing Approach to Alzheimer’s Disease Computer Assisted Diagnosis Based on MRI Data [http://www.sciencedirect.com/science/article/pii/S0925231214012454]
:A Lattice Computing Approach to Alzheimer’s Disease Computer Assisted Diagnosis Based on MRI Data [http://www.sciencedirect.com/science/article/pii/S0925231214012454]
: Neurocomputing  Volume 150, Part A, 20 February 2015, Pages 37–42
: Neurocomputing  Volume 150, Part A, 20 February 2015, Pages 37–42
: JCR 2013 2.005 (Q1 CSAI)
: JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)


;Dacosta-Aguayo, Rosalia; Graña, Manuel; Iturria-Medina, Yasser; Fernández-Andújar, Marina; López-Cancio, Elena; Caceres, Cynthia; Bargallo, Nuria; Barrios, Maite; Clemente, Imma; Pera, Guillem; Fores, Rosa; Davalos, Antoni; Mataro, Maria
;Dacosta-Aguayo, Rosalia; Graña, Manuel; Iturria-Medina, Yasser; Fernández-Andújar, Marina; López-Cancio, Elena; Caceres, Cynthia; Bargallo, Nuria; Barrios, Maite; Clemente, Imma; Pera, Guillem; Fores, Rosa; Davalos, Antoni; Mataro, Maria
Línea 173: Línea 998:
: Human Brain Mapping Volume 36, Issue 2, February 2015, Pages: 577–590
: Human Brain Mapping Volume 36, Issue 2, February 2015, Pages: 577–590
: DOI: 10.1002/hbm.22648
: DOI: 10.1002/hbm.22648
: Impact Factor: 6.878, ISI Journal Citation Reports © Ranking: 2012: 1/14 (Neuroimaging); 1/120 (Radiology Nuclear Medicine & Medical Imaging); 23/252 (Neurosciences) (2013) 6.924 (Q1 Neuroimaging, Q1 RNMMI, Q1 Neurosciences)
: Impact Factor: 6.878, ISI Journal Citation Reports © Ranking: 2012: 1/14 (Neuroimaging); 1/120 (Radiology Nuclear Medicine & Medical Imaging); 23/252 (Neurosciences) (2013) 6.924 (Q1 Neuroimaging, Q1 RNMMI, Q1 Neurosciences) (2014) 5.969
 
;Borja Fernandez-Gauna; Ismael Etxeberria-Agiriano; Manuel Graña
:Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
: PlosOne, Volume 10(7): e0127129 ( published 09 Jul 2015)
: JCR (2012) 3.730, (Q1 mult. sciences) (2013) 3.534 (Q1 mult. sci.) (2014) 3.234
: DOI 10.1371/journal.pone.0127129


== 2014 ==
== 2014 ==
Línea 195: Línea 1026:
:Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: a 3T fMRI pilot study
:Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: a 3T fMRI pilot study
: Human Brain Mapping (aceptado 15 nov 2013) Volume 35, Issue 8, pages 3819–3831, August 2014 [http://onlinelibrary.wiley.com/doi/10.1002/hbm.22439/abstract]
: Human Brain Mapping (aceptado 15 nov 2013) Volume 35, Issue 8, pages 3819–3831, August 2014 [http://onlinelibrary.wiley.com/doi/10.1002/hbm.22439/abstract]
: Impact Factor: 6.878, ISI Journal Citation Reports © Ranking: 2012: 1/14 (Neuroimaging); 1/120 (Radiology Nuclear Medicine & Medical Imaging); 23/252 (Neurosciences) (2013) 6.924 (Q1 Neuroimaging, Q1 RNMMI, Q1 Neurosciences)
: Impact Factor: 6.878, ISI Journal Citation Reports © Ranking: 2012: 1/14 (Neuroimaging); 1/120 (Radiology Nuclear Medicine & Medical Imaging); 23/252 (Neurosciences) (2013) 6.924 (Q1 Neuroimaging, Q1 RNMMI, Q1 Neurosciences) (2014) 5.969


;Borja Fernández-Gauna; Igor Ansoategui; Ismael Etxeberria-Agiriano; Manuel Graña
;Borja Fernández-Gauna; Igor Ansoategui; Ismael Etxeberria-Agiriano; Manuel Graña
:Reinforcement Learning of ball screw feed drive controllers
:Reinforcement Learning of ball screw feed drive controllers
:Engineering Applications of Artificial Intelligence Volume 30, April 2014, Pages 107–117 [http://www.sciencedirect.com/science/article/pii/S0952197614000220]
:Engineering Applications of Artificial Intelligence Volume 30, April 2014, Pages 107–117 [http://www.sciencedirect.com/science/article/pii/S0952197614000220]
: JCR (2011) 1.665 (Q1 ENG) (2012) 1.625 (Q1 ENG, Q2 ACS, Q2 CSAI, Q2 EEE) (2013) 1.962 (Q1 ENG, Q2 ACS, Q2 CSAI, Q2 EEE)
: JCR (2011) 1.665 (Q1 ENG) (2012) 1.625 (Q1 ENG, Q2 ACS, Q2 CSAI, Q2 EEE) (2013) 1.962 (Q1 ENG, Q2 ACS, Q2 CSAI, Q2 EEE) (2014) 2.207 (Q1 ENG, Q2 ACS, Q1 CSAI, Q1 EEE)


;Borja Ayerdi and Manuel Graña
;Borja Ayerdi and Manuel Graña
:Hybrid Extreme Rotation Forest  
:Hybrid Extreme Rotation Forest  
: Neural Networks Volume 52, April 2014, Pages 33–42 [http://www.sciencedirect.com/science/article/pii/S0893608014000045]
: Neural Networks Volume 52, April 2014, Pages 33–42 [http://www.sciencedirect.com/science/article/pii/S0893608014000045]
: JCR (2012) 1.927 (Q1 CSAI, Q3 NS) (2013) 2.076 (Q1 CSAI, Q3 NS)
: JCR (2012) 1.927 (Q1 CSAI, Q3 NS) (2013) 2.076 (Q1 CSAI, Q3 NS) (2014) 2.708


;Tuia, D. ; Merenyi, E. ; Jia, X. ; Grana-Romay, M.
;Tuia, D. ; Merenyi, E. ; Jia, X. ; Grana-Romay, M.
Línea 221: Línea 1052:
:Design and Development of a Mobile Cardiac Rehabilitation System
:Design and Development of a Mobile Cardiac Rehabilitation System
:Cybernetics and Systems: An International Journal, Volume 45 Issue 2 (2014), pp 92-108 [http://www.tandfonline.com/doi/full/10.1080/01969722.2014.874804#.UyF23OCEl48]
:Cybernetics and Systems: An International Journal, Volume 45 Issue 2 (2014), pp 92-108 [http://www.tandfonline.com/doi/full/10.1080/01969722.2014.874804#.UyF23OCEl48]
:JCR (2012): 0.973 (Q3 CSC)
:JCR (2012): 0.973 (Q3 CSC) (2013) 0.507 (2014) 0.840


;Israel Rebollo-Ruiz and Manuel Graña
;Israel Rebollo-Ruiz and Manuel Graña
Línea 231: Línea 1062:
:Structural integrity of the contralesional hemisphere predicts cognitive impairment in ischemic stroke at three months
:Structural integrity of the contralesional hemisphere predicts cognitive impairment in ischemic stroke at three months
: PLosONe January 2014 | Volume 9 | Issue 1 | e86119 [http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0086119]
: PLosONe January 2014 | Volume 9 | Issue 1 | e86119 [http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0086119]
: JCR (2012) 3.730, (Q1 mult. sciences) (2013) 3.534 (Q1 mult. sci.)
: JCR (2012) 3.730, (Q1 mult. sciences) (2013) 3.534 (Q1 mult. sci.) (2014) 3.234


; Ramon Moreno, Francesco Corona, Amaury Lendasse, Manuel Grana and Lenio Galvao
; Ramon Moreno, Francesco Corona, Amaury Lendasse, Manuel Grana and Lenio Galvao
Línea 252: Línea 1083:
:  A Survey of Multiple Classifier System as Hybrid Systems   
:  A Survey of Multiple Classifier System as Hybrid Systems   
: Information Fusion Volume 16, March 2014, Pages 3–17 [http://www.sciencedirect.com/science/article/pii/S156625351300047X]
: Information Fusion Volume 16, March 2014, Pages 3–17 [http://www.sciencedirect.com/science/article/pii/S156625351300047X]
: JCR (2011) 1.467 (Q2 CSAI, Q1 CSTM) (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472
: JCR (2011) 1.467 (Q2 CSAI, Q1 CSTM) (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472 (2014) 3.681


; Michal Wozniak, Emilio Corchado, Manuel Graña
; Michal Wozniak, Emilio Corchado, Manuel Graña
:Guest Editorial: Hybrid Intelligent Fusion Systems
:Guest Editorial: Hybrid Intelligent Fusion Systems
: Information Fusion Volume 16, March 2014, Pages 2
: Information Fusion Volume 16, March 2014, Pages 2
: (2011) JCR 1.467 (Q1 CSTM, Q2 CSAI) (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472
: (2011) JCR 1.467 (Q1 CSTM, Q2 CSAI) (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472 (2014) 3.681


;Carmen Hernández , Leónia Nunes , Domingos Lopes , Manuel Graña  
;Carmen Hernández , Leónia Nunes , Domingos Lopes , Manuel Graña  
:Data Fusion for high spatial resolution LAI estimation  
:Data Fusion for high spatial resolution LAI estimation  
:Information Fusion Volume 16, March 2014, Pages 59–67 [http://www.sciencedirect.com/science/article/pii/S1566253512000395]
:Information Fusion Volume 16, March 2014, Pages 59–67 [http://www.sciencedirect.com/science/article/pii/S1566253512000395]
: JCR (2010) 1.621 (2011) 1.467  (Q1 CSTM, Q2 CSAI)  (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472
: JCR (2010) 1.621 (2011) 1.467  (Q1 CSTM, Q2 CSAI)  (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472 (2014) 3.681


;B Ayerdi, J Maiora, A d'Anjou, M Graña
;B Ayerdi, J Maiora, A d'Anjou, M Graña
Línea 847: Línea 1678:


;Elsa Fernandez, Manuel Graña, Jesús Ruiz-Cabello
;Elsa Fernandez, Manuel Graña, Jesús Ruiz-Cabello
: ''On a Gradient Based Evolution Strategie For Parametric Illumination Correction''
: ''On a Gradient Based Evolution Strategy For Parametric Illumination Correction''
:Electronics Letters 40(9):531-532
:Electronics Letters 40(9):531-532
:Indicadores de calidad (Índice de Impacto o similares): JCR 2004 0.968
:Indicadores de calidad (Índice de Impacto o similares): JCR 2004 0.968

Revisión actual - 19:24 13 nov 2024

bib de revistas hasta 2009

submitidos sin decision

aceptados

Igone Morais-Quilez, Manuel Graña, Anna Kaminska-Chuchmala
A review and meta-analysis of emotion recognition from electroencephalographic signals
Cybernetics and Systems

online first

2024

[58] Asier Garmendia-Orbegozo, Miguel Angel Anton Gonzalez, J. David Nuñez-Gonzalez
Reduction of Vision-Based Models for Fall Detection
Sensors 2024, 24(22), 7256;
https://doi.org/10.3390/s24227256
Journal Rank: JCR - Q2 (Chemistry, Analytical) / CiteScore - Q1 (Instrumentation)
[57] Manuel Graña, Goizalde Badiola-Zabala, Guillermo Cano-Escalera
Comment on Uzun Ozsahin et al. COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach. Diagnostics 2023, 13, 1264
Diagnostics 2024, 14(22), 2528; https://doi.org/10.3390/diagnostics14222528
Submission received: 9 October 2023 / Accepted: 28 October 2024 / Published: 12 November 2024
Journal Rank: JCR - Q1 (Medicine, General and Internal) / CiteScore - Q2 (Internal Medicine)


[56] Eloy Irigoyen, Mikel Larrea, Manuel Graña
A Narrative Review of Haptic Technologies and Their Value for Training, Rehabilitation, and the Education of Persons with Special Needs
Sensors 2024, 24(21), 6946; [1]
https://doi.org/10.3390/s24216946
Journal Rank: JCR - Q2 (Chemistry, Analytical) / CiteScore - Q1 (Instrumentation)
[55]JULIAN ESTEVEZ,JOSE MANUEL LOPEZ-GUEDE,JAVIER DEL VALLE-ECHAVARRI,MANUEL GRAÑA
Reinforcement learning based trajectory planning for multi-UAV load transportation
IEEE Access 12:144009-144016 [2]
Digital Object Identifier: 10.1109/ACCESS.2024.3470509
[54] Josu Maiora, Chloe Rezola-Pardo, Guillermo García, Begoña Sanz, Manuel Graña
Older Adult Fall Risk Prediction with Deep Learning and Timed Up and Go (TUG) Test Data
Bioengineering 2024, 11(10), 1000
https://doi.org/10.3390/bioengineering11101000
Journal Rank: JCR - Q2 (Engineering, Biomedical)
[53]Daniel Caballero-Martin, Jose Manuel Lopez-Guede *, Julian Estevez, Manuel Graña
Artificial Intelligence Applied To Drone Control:A State-Of-The-Art
Drones 2024, 8(7), 296
https://doi.org/10.3390/drones8070296
[52]Jon Kerexeta-Sarriegi, Teresa García-Navarro, Maria Rollan, Nekane Larburu, Moises Espejo, Andoni Beristain, Manuel Graña
Analysing Disease Trajectories in a Cohort of 71,849 Patients: A Visual Analytics and Statistical Approach
International Journal of Medical Informatics, Volume 188, August 2024, 105466
DOI https://doi.org/10.1016/j.ijmedinf.2024.105466
JCR IF 4.9


[51]Julian Estevez, Endika Nuñez, Jose Manuel Lopez-Guede, Gorka Garate
A low-cost vision system for online reciprocal collision avoidance with UAVs
Aerospace Science and Technology 7 May 2024, 109190
https://doi.org/10.1016/j.ast.2024.109190
[50] Goizalde Badiola-Zabala, Jose Manuel Lopez-Guede, Julian Estevez, Manuel Graña
Machine Learning First Response to COVID-19: A Systematic Literature Review of Clinical Decision Assistance Approaches during Pandemic Years from 2020 to 2022
Electronics 2024, 13(6), 1005;
https://www.mdpi.com/2079-9292/13/6/1005
https://doi.org/10.3390/electronics13061005
Journal Rank: JCR - Q2(Electrical and Electronic Engineering) CiteScore - Q2 (Electrical and Electronic Engineering)


[49] Asier Garmendia-Orbegozo, J. David Nuñez-Gonzalez, Miguel Angel Anton
Task Offloading in Edge Computing using GNNs and DQN
CMES-Computer Modeling in Engineering & Sciences
https://doi.org/10.32604/cmes.2024.045912
IF 2.4 - Q2
[48] Julian Estevez, Gorka Garate, Jose Manuel Lopez-Guede and Mikel Larrea
Review of Aerial Transportation of Suspended-Cable Payloads with Quadrotors
Drones 2024, 8(2), 35
https://doi.org/10.3390/drones8020035
Journal Rank: JCR - Q2 (Remote Sensing) / CiteScore - Q1 (Aerospace Engineering)
[47] Borja Fernandez-Gauna, Manuel Graña
Simion Zoo : A training Workbench for Reinforcement Learning allowing Distributed Experimentation
Neurocomputing Volume 568, 1 February 2024, 127030 [3]
https://doi.org/10.1016/j.neucom.2023.127030

2023

46 Ana Paula Aravena-Cifuentes, J. David Nuñez-Gonzalez, Andoni Elola, Malinka Ivanova
Development of AI-Based Tools for Power Generation Prediction
Computation 2023, 11(11), 232
https://doi.org/10.3390/computation11110232
Journal Rank: CiteScore - Q2 (Applied Mathematics)


45 Inziarte-Hidalgo, I.; Uriarte, I.; Fernandez-Gamiz, U.; Sorrosal, G.; Zulueta, E.
Robotic-Arm-Based Force Control in Neurosurgical Practice.
Mathematics 2023, 11, 828.
https://doi.org/10.3390/math11040828
44 Abucide-Armas, A.; Portal-Porras, K.; Fernandez-Gamiz, U.; Zulueta, E.; Teso-Fz-Betoño, A.
Convolutional Neural Network Predictions for Unsteady Reynolds-Averaged Navier–Stokes-Based Numerical Simulations.
J. Mar. Sci. Eng. 2023, 11, 239.
https://doi.org/10.3390/jmse11020239
43 Sergio A. Chillón, Unai Fernandez-Gamiz, Ekaitz Zulueta, Ainara Ugarte-Anero, Oskar Urbina-Garcia
Numerical modeling of a sneeze, a cough and a continuum speech inside a hospital lift
DOI:https://doi.org/10.1016/j.heliyon.2023.e13370
42 Teso-Fz-Betoño, A.; Zulueta, E.; Cabezas-Olivenza, M.; Fernandez-Gamiz, U.; Botana-M-Ibarreta, C.
Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm.
Mathematics 2023, 11, 1183.
https://doi.org/10.3390/math11051183
41 Sanchez-Chica, A.; Ugartemendia-Telleria, B.; Zulueta, E.; Fernandez-Gamiz, U.; Gomez-Hidalgo, J.M.
A New Loss Function for Simultaneous Object Localization and Classification.
Mathematics 2023, 11, 1205.
https://doi.org/10.3390/math11051205
40 Koldo Portal-Porras, Unai Fernandez-Gamiz, Ekaitz Zulueta, Oscar Irigaray, Roberto Garcia-Fernandez,
Hybrid LSTM+CNN architecture for unsteady flow prediction,
Materials Today Communications, Volume 35, 2023, 106281,
https://doi.org/10.1016/j.mtcomm.2023.106281.


39 Jaime-Barquero, E.; Bekaert, E.; Olarte, J.; Zulueta, E.; Lopez-Guede, J.M.
Artificial Intelligence Opportunities to Diagnose Degradation Modes for Safety Operation in Lithium Batteries.
Batteries 2023, 9, 388.
https://doi.org/10.3390/batteries9070388
38 Azurmendi I, Zulueta E, Lopez-Guede JM, Azkarate J, González M.
Cooktop Sensing Based on a YOLO Object Detection Algorithm.
Sensors. 2023; 23(5):2780.
https://doi.org/10.3390/s23052780
37 Dara, O.A.; Lopez-Guede, J.M.; Raheem, H.I.; Rahebi, J.; Zulueta, E.; Fernandez-Gamiz, U.
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey.
Appl. Sci. 2023, 13, 8298.
https://doi.org/10.3390/app13148298
36 Koldo Portal-Porras, Unai Fernandez-Gamiz, Ekaitz Zulueta, Roberto Garcia-Fernandez & Oscar Irigaray (2023)
Parametric study of vortex generators on a fin-and-tube heat exchanger,
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 45:4, 10051-10072,
DOI: 10.1080/15567036.2023.2242809
35 Manuel Graña, Igone Morais-Quilez
A review of Graph Neural Networks for Electroencephalography data analysis
Neurocomputing Volume 562, 28 December 2023, 126901 [4]
https://doi.org/10.1016/j.neucom.2023.126901


34 A Garmendia-Orbegozo, JD Nuñez-Gonzalez, MA Anton
SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction
Sensors 23 (5), 2718
https://doi.org/10.3390/s23052718
34 Borja Fernandez-Gauna; Naiara Rojo; Manuel Graña
Automatic Feedback and Assessment of Team-Coding Assignments in a DevOps Context
International Journal of Educational Technology in Higher Education 20, Article number: 17 (2023)[5]
JCR 2021 7.611, Q1 EDUCATION & EDUCATIONAL RESEARCH
DOI https://doi.org/10.1186/s41239-023-00386-6


33 J.M. Górriz, I. Álvarez-Illán, A. Álvarez-Marquina, J.E. Arco, M. Atzmueller, F. Ballarini, E. Barakova, G. Bologna, P. Bonomini, G. Castellanos-Dominguez, D. Castillo-Barnes, S.B. Cho, R. Contreras, J.M. Cuadra, E. Domínguez, F. Domínguez-Mateos, R.J. Duro, D. Elizondo, A. Fernández-Caballero, E. Fernandez-Jover, M.A. Formoso, N.J. Gallego-Molina, J. Gamazo, J. García González, J. Garcia-Rodriguez, C. Garre, J. Garrigós, A. Gómez-Rodellar, P. Gómez-Vilda, M. Graña, B. Guerrero-Rodriguez, S.C.F. Hendrikse, C. Jimenez-Mesa, M. Jodra-Chuan, V. Julian, G. Kotz, K. Kutt, M. Leming, J. de Lope, B. Macas, V. Marrero-Aguiar, J.J. Martinez, F.J. Martinez-Murcia, R. Martínez-Tomás, J. Mekyska, G.J. Nalepa, P. Novais, D. Orellana, A. Ortiz, D. Palacios-Alonso, J. Palma, A. Pereira, P. Pinacho-Davidson, M.A. Pinninghoff, M. Ponticorvo, A. Psarrou, J. Ramírez, M. Rincón, V. Rodellar-Biarge, I. Rodríguez-Rodríguez, P.H.M.P. Roelofsma, J. Santos, D. Salas-Gonzalez, P. Salcedo-Lagos, F. Segovia, A. Shoeibi, M. Silva, D. Simic, J. Suckling, J. Treur, A. Tsanas, R. Varela, S.H. Wang, W. Wang, Y.D. Zhang, H. Zhu, Z. Zhu, J.M. Ferrández-Vicente,
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends,
Information Fusion, Volume 100, 2023, 101945,
IF 18.600 (Q1 CSAI, Q1 CSTM)
https://doi.org/10.1016/j.inffus.2023.101945
32 Daniel Teso-Fz-Betoño, Ekaitz Zulueta, Ander Sanchez-Chica, Unai Fernandez-Gamiz, Adrian Teso-Fz-Betoño, Jose Manuel Lopez-Guede
Neural architecture search for the estimation of relative positioning of the autonomous mobile robot
Logic Journal of the IGPL, Volume 31, Issue 4, August 2023, Pages 634–647,
https://doi.org/10.1093/jigpal/jzac030


31 Marina Aguilar-Moreno, Manuel Graña
On registration methods for SLAM with low resolution LiDAR sensor
Logic Journal of the IGPL, Volume 31, Issue 4, August 2023, Pages 751–761,
https://doi.org/10.1093/jigpal/jzac037 Published: 16 February 2022


30 Ricardo Munoz-Cancino, Sebastián A. Ríos, and Manuel Graña
Clustering cities over features extracted from multiple virtual sensors measuring micro level activity patterns allows to discriminate large-scale city characteristics
Sensors 2023, 23(11), 5165 [6]
https://doi.org/10.3390/s23115165
Journal Rank: JCR - Q2 (Instruments & Instrumentation) / CiteScore - Q1 (Instrumentation)
29 Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ana González-Pinto, Ariadna Besga
MORTALITY RISKS IN FRAIL and PRE-FRAIL OLDER ADULTS ADMITTED TO HOSPITAL AFTER TWO YEARS
Journal of Clinical Medicine 2023, 12(9), 3103;
https://www.mdpi.com/2077-0383/12/9/3103
JCR 4.964 JCR - (Q2 (Medicine, General & Internal) / CiteScore - Q1 (General Medicine))


28 Garmendia-Orbegozo, A.; Nuñez-Gonzalez, J.D.; Anton, M.A.
SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction.
Sensors 2023, 23, 2718. https://doi.org/10.3390/s23052718
27- Ricardo Munoz-Cancino, Cristian Bravo, Sebastian A. Rıos, Manuel Grana
On the dynamics of credit history and social interaction features, and their impact on creditworthiness assessment performance
Expert Systems with Applications Volume 218, 15 May 2023, 119599
https://doi.org/10.1016/j.eswa.2023.119599
JCR 8.665 en 2022, Q1 en CSAI
26- Jon Kerexeta *, Nekane Larburu, Vanessa Escolar, Ainara Lozano, Iván Macía-Oliver, Andoni Beristain, Manuel Graña
Prediction and Analysis of Heart Failure Decompensation Events Based on Telemonitored Data and Artificial Intelligence Methods
Journal of Cardiovascular Development and Disease Dis. 2023, 10(2), 48; [7]
https://doi.org/10.3390/jcdd10020048
JCR 4.415 (Q2 Cardiac & Cardiovascular Systems)
25- Javier de Lope, Manuel Graña
An Ongoing Review of Speech Emotion Recognition
Neurocomputing Volume 528, 1 April 2023, Pages 1-11
https://doi.org/10.1016/j.neucom.2023.01.002
24- Ricardo Munoz-Cancino, Cristian Bravo, Sebastian A. Rıos, Manuel Grana
On the combination of graph data for assessing thin-file borrowers’ creditworthiness
Expert Systems with Applications Volume 213, Part A, 1 March 2023, 118809
JCR 8.665 en 2022, Q1 en CSAI
https://doi.org/10.1016/j.eswa.2022.118809


23- Cabezas-Olivenza, M.; Zulueta, E.; Sanchez-Chica, A.; Fernandez-Gamiz, U.; Teso-Fz-Betoño, A.
Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient.
Mathematics 2023, 11(1), 132;
https://doi.org/10.3390/math11010132.
https://www.mdpi.com/2227-7390/11/1/132


22- Jaime-Barquero, E.; Zhang, Y.; Drewett, N.; López-Aranguren, P.; Zulueta, E.; Bekaert, E.
Spatially Offset Raman Spectroscopy for Characterization of a Solid-State System.
Batteries 2023, 9(1), 20;
https://doi.org/10.3390/batteries9010020.
https://www.mdpi.com/2313-0105/9/1/20

2022

22- Izaskun Santamaria, Xabier Larrucea, Borja Fernandez-Gauna
Integrating privacy debt and VSE's software developments
Journal Of Software-Evolution And Process 35(8), 2022
DOI: 10.1002/smr.2437
JCR (2022): 2 [Q3/T2/D6 SCIE-Computer Science, Software Engineering (62/108)]
21- Zulueta, A.; Ispas-Gil, D.; Zulueta, E.; Garcia-Ortega, J.; Fernandez-Gamiz, U.
Battery Sizing Optimization in Power Smoothing Applications.
Energies 2022, 15(3), 729;
https://doi.org/10.3390/en15030729.
https://www.mdpi.com/1996-1073/15/3/729


20- Teso-Fz-Betoño, A.; Zulueta, E.; Cabezas-Olivenza, M.; Teso-Fz-Betoño, D.; Fernandez-Gamiz, U.
A Study of Learning Issues in Feedforward Neural Networks.
Mathematics 2022, 10(17), 3206;
https://doi.org/10.3390/math10173206.
https://www.mdpi.com/2227-7390/10/17/3206


19- Olarte, J.; Martinez de Ilarduya, J.; Zulueta, E.; Ferret, R.; Garcia-Ortega, J.; Lopez-Guede, J.
Online Identification of VLRA Battery Model Parameters Using Electrochemical Impedance Spectroscopy.
Batteries 2022, 8(11), 238;
https://doi.org/10.3390/batteries8110238.
https://www.mdpi.com/2313-0105/8/11/238
18- Delgado, R., Núñez-González, J.D.
Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning
(2022) Scientific Reports, 12 (1), art. no. 8724, .
DOI: 10.1038/s41598-022-12682-8
Q2- IF 4.996 (2021)


17- Garmendia-Orbegozo, A., Noye, S., Anton, M.A., Nunez-Gonzalez, J.D.
Graph Based Learning for Building Prediction in Smart Cities
(2022) IEEE Access, 10, pp. 45471-45484.
DOI: 10.1109/ACCESS.2022.3169890
Q2 - IF 3.476 (2021)


15- Garmendia-Orbegozo, A., Núñez-Gonzalez, J.D., Antón, M.Á.
Reviewing and Discussing Graph Reduction in Edge Computing Context
(2022) Computation, 10 (9), art. no. 161, .
DOI: 10.3390/computation10090161
JCR- Emerging Sources Citation Index - Q2 - JCI 0,69 (2021)
14- Pablo Cleveland, Sebastian A. Rios, Felipe Aguilera, Manuel Graña
Neuro-semantic prediction of user decisions to contribute content to online social networks
Neural Computing and Applications 34, pages 16717–16738 (2022) [8]
DOI 10.1007/s00521-022-07307-0
13- Gorka Garate, Julian Estevez, Manuel Graña
ADITU:A Mesh-free formulation for the solution of Helmholtz equation in bounded and unbounded domains
SoftwareX, Volume 19, July 2022, 101111 [9]
https://doi.org/10.1016/j.softx.2022.101111
JCR 1.959 (2021)
12- Javier de Lope, Manuel Graña
Deep Transfer Learning-based Gaze Tracking for Behavioral Activity Recognition
Neurocomputing Volume 500, 21 August 2022, Pages 518-527 [10]
https://doi.org/10.1016/j.neucom.2021.06.100
11- Javier de Lope, Manuel Graña
A Hybrid TimeDistributed Deep Neural Architecture for Speech Emotion Recognition
IJNS Volume No. 32, Issue No. 06, Article No. 2250024, Year 2022.
https:///dx.doi.org/10.1142/S0129065722500241
nota de prensa [11]
10- Julian Estevez, Jose Manuel Lopez-Guede, Gorka Garate, Manuel Graña
Hybrid modeling of deformable linear objects for their cooperative transportation by teams of quadrotors
Applied Sciences 2022, 12(10), 5253; [12]
https://doi.org/10.3390/app12105253
9- Garate, G., Harismendy, I., Echeverria-Altuna, O., & Estévez, J. (2022).
A dynamic data driven application system for real-time simulation of resin transfer moulding processes.
International Journal of Material Forming, 15(3), 1-11.
8- Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ariadna Besga
Risk factors for prediction of delirium at hospital admittance
Expert Systems (16 marzo 2021 aceptado) Volume39, Issue4, e12698
http://doi.org/10.1111/exsy.12698
JCR 2019 1.546


7- Javier Barandiaran, Marcos Nieto, Andoni Cortes, Oihana Otaegui, Julian Florez and Manuel Graña
Automated Annotation of Lane Markings Using LIDAR and Odometry [13]
IEEE Transactions on Intelligent Transportation Systems, 23, Issue: 4 : 3115-3125
JCR 6.319, Q1 en EC, EEE, TST
DOI 10.1109/TITS.2020.3031921


6- Maria Isabel Carreño-Muñoz, Maria Carmen Medrano, Arnaldo Ferreira Gomes Da Silva, Christian Gestreau, Clément Menuet, Thomas Leinekugel, Maelys Bompart, Fabienne Martins, Enejda Subashi, Franck Aby, Andreas Frick, Marc Landry, Manuel Grana, and Xavier Leinekugel
Detecting fine and elaborate movements with piezo sensors provides non-invasive access to overlooked behavioral components
NEUROPSYCHOPHARMACOLOGY 47, pages 933–943 (2022) [14]
JCR (2020) 7.853 Q1 P&P, P
5- Borja Fernandez-Gauna; manuel grana; Juan-Luis Osa-Amilibia; Xavier Larrucea
Actor-Critic Continuous State Reinforcement Learning for Wind-Turbine Control Robust Optimization
Information Sciences Volume 591, April 2022, Pages 365-380 [15]
DOI 10.1016/j.ins.2022.01.047


4- Carlos M Chiesa-Estomba (Corresponding Author), Manuel Graña (Co-author), Alfonso Medela (Co-author), Jon A Sistiaga-Suarez (Co-author), Jerome R Lechien (Co-author), Christian Calvo-Henriquez (Co-author), Miguel Mayo-Yáñez (Co-author), Luigi Angelo Vaira (Co-author), Alberto Grammatica (Co-author), Giovanni Cammaroto (Co-author), Tareck Ayad (Co-author), Johannes J Fagan (Co-author)
Machine learning algorithms as a computer assisted decision tool for oral cancer prognosis and management decisions: A systematic review
ORL, Journal for Oto-Rhino-Laryngology, Head and Neck Surgery, 2022
https://doi.org/10.1159/000520672
JCR 1.538
3- Cano-Escalera, G.; Graña, M.; Irazusta, J.; Labayen, I.; Besga, A.
Survival of Frail Elderly with Delirium.
Int. J. Environ. Res. Public Health 2022, 19, 2247.
https://doi.org/10.3390/ijerph19042247
2- Leyre Torre-Tojal, Aitor Bastarrika, Ana Boyano, Jose Manuel Lopez-Guede, Manuel Graña
Above-ground Biomass Estimation from LiDAR data using Random Forest algorithms
Journal of Computational Science, Volume 58, February 2022, 101517
https://doi.org/10.1016/j.jocs.2021.101517
1- Fátima A Saiz *, Iñigo Barandiaran, Ander Arbelaiz, Manuel Graña
Photometric Stereo-based Defect Detection System for Steel Components Manufacturing Using a Deep Segmentation Network
Sensors 2022, 22(3), 882 [16]
DOI https://doi.org/10.3390/s22030882

2021

M Graña et al.
SPECIAL ISSSUE SOCO-CISIS 2018-IGPL
Logic Journal of the IGPL Volume 29, Issue 6, December 2021, Pages 871–873 [17]
DOI: 10.1093/jigpal/jzaa040
JCR 0.931, Q3 MA, Q4 M, Q1 L


Jon Kerexeta Sarriegi, Andoni Beristain Iraola, Roberto Álvarez Sánchez, Manuel Graña, Kristin May Rebescher, Gorka Epelde, Louise Hopper, Joanne Carroll, Patrizia Gabriella Ianes, Barbara Gasperini, Francesco Pilla, Walter Mattei, Francesco Tessarolo, Despoina Petsani, Panagiotis D. Bamidis, Evdokimos I. Konstantinidis
COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations
Sensors 2021, 21(23), 7991;
https://doi.org/10.3390/s21237991


Marcos Alonso *, Daniel Maestro, Alberto Izaguirre, Imanol Andonegui, Manuel Graña
Depth Data Denoisisng in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach
Sensors 2021, 21(21), 7024; [18]
https://doi.org/10.3390/s21217024


Dimitrova Maya, Wagatsuma Hiroaki, Krastev Aleksandar, Vrochidou Eleni, Nunez-Gonzalez J. David
A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education
Frontiers in Robotics and AI 8: 252 [19]
DOI=10.3389/frobt.2021.715962
Martín-Garin, A.; Millán-García, J.A.; Leon, I.; Oregi, X.; Estevez, J.; Marieta, C.
Pedagogical Approaches for Sustainable Development in Building in Higher Education.
Sustainability 2021, 13, 10203.
https://doi.org/10.3390/su131810203
Fátima A. Saiz *, Garazi Alfaro, Iñigo Barandiaran, Manuel Graña
Generative Adversarial Networks to Improve the Robustness of Visual Defect Segmentation by Semantic Networks in Manufacturing Components
Appl. Sci. 2021, 11(14), 6368
DOI https://doi.org/10.3390/app11146368
Julian Estevez , Gorka Garate, Jose Manuel Lopez-Guede, Manuel Graña
A Hybrid Control Approach for the Swing Free Transportation of a Double Pendulum with a Quadrotor
Applied Sciences 2021, 11(12), 5487;
https://doi.org/10.3390/app11125487


Manuel Graña, José Manuel López-Guede, José Antonio Sáez Muñoz, Álvaro HerreroCosio, HéctorQuintián, EmilioCorchado
Special issue SOCO-CISIS 2018: New trends in soft computing and computational intelligence in security and its application in industrial and environmental problems
Neurocomputing Volume 452, 10 September 2021, Pages 414-415 [20]
https://doi.org/10.1016/j.neucom.2020.09.058
Rosario Delgado, J. David Núñez-González, J. Carlos Yébenes, Ángel Lavado,
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers,
Artificial Intelligence in Medicine, Volume 115, 2021, 102054
JCR Q1 en 2019
https://doi.org/10.1016/j.artmed.2021.102054
Ricardo Muñoz-Cancino, Sebastian A. Rios, Marcel Goic and Manuel Graña
Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile
Int. J. Environ. Res. Public Health 2021, 18(11), 5507; [21]
https://doi.org/10.3390/ijerph18115507
JCR 2019 2.849 (Q1 (Public, Environmental & Occupational Health))


Carlos Miguel Chiesa-Estomba, Oier Echaniz, Jon Alexander Sistiaga Suarez, Jose Angel Gonzalez-Garcıa, Ekhine Larruscain, Xabier Altuna, Alfonso Medela, and Manuel Graña,
Machine Learning Models for Predicting Facial Nerve Palsy in Parotid Gland Surgery for Benign Tumors
journal of surgical research 2021 (262) 57-64
https://doi.org/10.1016/j.jss.2020.12.053
JCR 2020 1.841
Jose Manuel Lopez-Guede, Asier Izquierdo, Julian Estevez, Manuel Graña
Active Learning for Road Lane Landmark Inventory with V-ELM in Highly Uncontrolled Image Capture Conditions
Neurocomputing [22] Volume 438, 28 May 2021, Pages 259-269
Emmanouil Varouchakis *, Anna Kamińska-Chuchmała *, Grzegorz Kowalik, Katerina Spanoudaki, Manuel Graña
Combining geostatistics and remote sensing data to improve spatiotemporal analysis of precipitation
Sensors 2021, 21(9), 3132; https://doi.org/10.3390/s21093132


Manuel Graña and Moises Silva
Impact of machine learning pipeline choices in Autism prediction from functional connectivity data
International Journal of Neural SystemsVol. 31, No. 04, 2150009 (2021)
https://doi.org/10.1142/S012906572150009X

2020

Aitor Saenz-Aguirre,Ekaitz Zulueta,Unai Fernandez-Gamiz,Daniel Teso-Fz-Betono,Javier Olarte
Kharitonov Theorem Based Robust Stability Analysis Of A Wind Turbine Pitch Control System
Mathematics 8(6), 2020
DOI: 10.3390/math8060964
JCR (2019): 1.747 [Q1/T1/D1 Scie-Mathematics (28/325)]
Josean Ramos-Hernanz,Irantzu Uriarte,Jose Manuel Lopez-Guede,Unai Fernandez-Gamiz,Amaia Mesanza,Ekaitz Zulueta
Temperature Based Maximum Power Point Tracking For Photovoltaic Modules
Scientific Reports 10(1), 2020
DOI: 10.1038/s41598-020-69365-5
JCR (2019): 3.998 [Q1/T1/D3 Scie-Multidisciplinary Sciences (17/71)]
Daniel Teso-Fz-Betono,Ekaitz Zulueta,Ander Sanchez-Chica,Unai Fernandez-Gamiz,Aitor Saenz-Aguirre
Semantic Segmentation To Develop An Indoor Navigation System For An Autonomous Mobile Robot
Mathematics 8(5), 2020
DOI: 10.3390/math8050855
JCR (2019): 1.747 [Q1/T1/D1 Scie-Mathematics (28/325)]
Ariadna Besga, Darya Chyzhyk, Manuel Grana and Ana González-Pinto
An imaging and blood biomarkers open dataset on Alzheimer's Disease versus Late Onset Bipolar Disorder [23]
Frontiers in Aging Neuroscience, 12,p:301
https://doi.org/10.3389/fnagi.2020.583212
JCR 2019 4.364, Q1 G&G, Q2 Neurosciences
Patricio Wolff; Sebastian Rios; David Clavijo.; Manuel Graña; Miguel Carrasco;
Methodologically grounded semantic analysis of large volume of Chilean medical literature data applied to the analysis of medical research funding efficiency in Chile
Journal of Biomedical Semantics, 11, 12 (2020) [24]
https://doi.org/10.1186/s13326-020-00226-w
JCR 2.614 (2019) (Q1 MCB)
Marcos Alonso, Alberto Izaguirre, Imanol Andonegui and Manuel Graña
Optical Dual Laser Based Sensor Denoising for OnlineMetal Sheet Flatness Measurement Using Hermite Interpolation
Sensors 2020, 20(18), 5441; [25]
DOI https://doi.org/10.3390/s20185441
JCR 2019 3.275, Q2 ChA, Q2 EEE, Q1 Instruments & Instrumentation
Manuel Graña, Marina Aguilar-Moreno, Javier de Lope Asiain, Ibai Baglietto Araquistain, and Xabier Garmendia
Improved activity recognition combining inertial motion sensors and electroencephalogram signals
International Journal of Neural Systems, Vol. 30, No. 10 (2020) 2050053 [26]
JCR 2018 6.4 (Q1 CSAI)
DOI https://doi.org/10.1142/S0129065720500537
Juan M. Gorriz, Javier Ramırez, Andres Ortız, Francisco J. Martınez-Murcia, Fermin Segovia, John Sucklinga, Matthew Leminga, Yu-Dong Zhang, Jose Ramon Alvarez-Sanchez, Guido Bologna, Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernandez-Caballero, Eduardo Fernandez-Jover, Pedro Gomez-Vilda, Manuel Graña, Francisco Herrera, Roberto Iglesias, Anna Lekova, Javier de Lope, Ezequiel Lopez-Rubio, Rafael Martıne Tomas, Miguel A. Molina-Cabello, Antonio S. Montemayor, Paulo Novais, Daniel Palacios-Alonso, Juan J. Pantrigo, Bryson R. Payne, Felix de la Paz Lopez, Marıa Angelica Pinninghoff, Mariano Rincon, Jose Santos, Karl Thurnhofer-Hemsi, Athanasios Tsanas, Ramiro Varela, Jose M. Ferrandez
Artificial intelligence within the interplay between natural and artificial Computation: advances in data science, trends and applications
Neurocomputing Volume 410, 14 October 2020, Pages 237-270
https://doi.org/10.1016/j.neucom.2020.05.078
JAVIER DE LOPE, MANUEL GRAÑA
BEHAVIORAL ACTIVITY RECOGNITION BASED ON GAZE ETHOGRAMS
International Journal of Neural Systems Vol. 30, No. 07, 2050025 (2020) (aceptado febrero 2020) [27]
DOI https://doi.org/10.1142/S0129065720500252
JCR 2018 6.4 (Q1 CSAI)
Xabier Larrucea, Izaskun Santamaria, Borja Fernandez-Gauna
Managing Security Debt Across PLC Phases in a VSE Context
Journal Of Software-evolution And Process 2020; 32:e2214
DOI https://doi.org/10.1002/smr.2214
JCR (2018) 1.305 (Q3 CSSE)


Imane Nizar, Youssef Illoussamen Hala El Ouarrak El Hossein Illoussamen Manuel Graña, Mohammed Mestari
Safe and optimal navigation for autonomous multi-rotor aerial vehicle in a dynamic known environment by a decomposition-coordination method
Cognitive Systems Research, Volume 63, October 2020, Pages 42-54
https://doi.org/10.1016/j.cogsys.2020.05.003
Impact Factor: 1.384
Zalabarria, U., Irigoyen, E., Martinez, Larrea, M., Salazar-Ramirez, A (2020).
A low-cost, portable solution for stress and relaxation estimation based on a real-time fuzzy algorithm,
IEEE Access, Volume 8, 1 May 2020, Pages 74118-74128.
Zalabarria, U., Irigoyen, E., Martinez, R., Lowe, A (2020).
Online robust R-peaks detection in noisy electrocardiograms using a novel iterative smart processing algorithm,
Applied Mathematics and Computation, Volume 369, 15 March 2020, Article number 124839.
Arkaitz Artetxe · Manuel Graña · Andoni Beristain · Sebastian Rıos
Balanced training of a hybrid ensemble method for imbalanced datasets: A case of emergency department readmission prediction.
Neural computing and applications 32(10), 5735-5744 [28]
JCR 2.505 (Q2 CSAI) (2017) 4.213 (Q1 CSAI) (2018) 4.664 (Q1 CSAI) (2019) 4.774
DOI 10.1007/s00521-017-3242-y
Manuel Graña, Michal Wozniak, Sebastian Rios, and Javier de Lope
Computational Intelligence in Remote Sensing: An Editorial [29]
Sensors, 20(3), 633
https://doi.org/10.3390/s20030633
JCR (2018) 3.031 (Q1 Inst&Inst, Q2 Chem An. Q2 Electrochem.) (2019) 3.275


Vanesa Lopez-Vazquez, Jose Manuel Lopez-Guede, Simone Marini, Emanuela Fanelli,, Espen Johnsen and Jacopo Aguzzi
Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories
Sensors 2020, 20(3), 726; https://doi.org/10.3390/s20030726
Manuel Graña, Jose Manuel Lopez-Guede, Jon Irazusta, Idoia Labayen, Ariadna Besga
Modeling hospital readmissions under frailty conditions for healthy ageing
Expert systems [30] Volume37, Issue2 April 2020, e12437
http://dx.doi.org/10.1111/exsy.12437
JCR 2018 1.505 (Q3 CSAI, Q2 CSTM) 2019 1.546

2019

Saenz-Aguirre, A.; Zulueta, E.; Fernandez-Gamiz, U.; Lozano, J.; Lopez-Guede, J.M.
Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control.
Energies 2019, 12, 436.
Aramendia, I.; Fernandez-Gamiz, U.; Zulueta, E.; Saenz-Aguirre, A.; Teso-Fz-Betoño, D.
Parametric Study of a Gurney Flap Implementation in a DU91W(2)250 Airfoil.
Energies 2019, 12, 294.
Martinez, R., Salazar-Ramirez, A., Arruti, A., Irigoyen, E., Martin, J.I., Muguerza, J.
A Self-Paced Relaxation Response Detection System Based on Galvanic Skin Response Analysis
IEEE Access, Volume 7, 2019, Article number 8680625, Pages 43730-43741
JCR 2018: 4.098 (Q1) 2019 3.745 (Q1 Computer science, information systems; engineering electrical and electronic)
DOI 10.1109/ACCESS.2019.2908445
https://ieeexplore.ieee.org/document/8680625


Jahnke, M.D., Cosco, F., Novickis, R., Rastelli, J.P., Gomez-Garay, V.
Efficient neural network implementations on parallel embedded platforms applied to real-time torque-vectoring optimization using predictions for multi-motor electric vehicles
Electronics, Volume 8, Issue 2, February 2019, Article number 250
JCR 2018: 1.764 (Q3)
DOI 10.3390/electronics8020250
https://www.mdpi.com/2079-9292/8/2/250
Julian Estevez, Gorka Garate, Manuel Graña
Gentle Introduction to Artificial Intelligence for High-School Students using Scratch
IEEE Access, 7(1):179027-179036 [31]
JCR 2018 4.098 (Q1) 2019 3.745, (Q1 Computer science, information systems; engineering electrical and electronic)
doi 10.1109/ACCESS.2019.2956136
Kamalaker Dadi, Mehdi Rahim, Alexandre Abraham, Darya Chyzhyk, Michael Milham, Bertrand Thirion, Gael Varoquaux, for the Alzheimer's Disease Neuroimaging Initiative
Benchmarking functional connectome-based predictive models for resting-state fMRI [32]
NeuroImage, Volume 192, 15 May 2019, Pages 115-134
DOI https://doi.org/10.1016/j.neuroimage.2019.02.062
Xabier Larrucea, Borja Fernandez-Gauna
A mapping study about the standard ISO/IEC29110
Computer Standards & Interfaces (2019) Volume 65, July 2019, Pages 159-166
DOI https://doi.org/10.1016/j.csi.2019.03.005
JCR 2017: 1.479 (Q2 CSSE 47/104)
Leyre Torre-Tojal, Jose Manuel Lopez-Guede, Manuel Graña
Machine learning forest biomass estimation from LiDAR data
Expert Systems 2019;36:e12399. [33][34]
DOI https://doi.org/10.1111/exsy.12399
Impact factor:1.43; ISI Journal Citation Reports © Ranking: 2017:75/132 (Computer Science, Artificial Intelligence); ISI Journal Citation Reports © Ranking: 2017:48/103 (Computer Science, Theory & Methods)
JCR 2018 1.505 (Q3 CSAI, Q2 CSTM) 2019 1.546
Patricio Wolff, Sebastian A. Rios, Manuel Graña
Setting up standards: A methodological proposal for pediatric Triage machine learning model construction based on clinical outcomes
Expert systems with applications Volume 138, 30 December 2019, 112788 [35]
JCR 2018 4.292 (Q1 CSAI,EEE,ORMS) 2019 5.452
https://doi.org/10.1016/j.eswa.2019.07.005
Anna Kaminska-Chuchmala *, Manuel Grana
Indoor Crowd 3D Localization in Big Buildings From WiFi Access Anonymous Data
Sensors 2019, 19(19), 4211 [36]
JCR (2018) 3.031 (Q1 Inst&Inst, Q2 Chem An. Q2 Electrochem.) (2019) 3.275
Carlos M Chiesa-Estomba *, Oier Etchaniz, Ekhiñe Larruscain, Jose A Gonzalez-García, Jon A Sistiaga-Suarez, Manual Graña
Radiomics and Texture Analysis in Laryngeal Cancer. Looking for new frontiers in precision medicine thought Imaging analysis.
Cancers 11(10), 1409; [37]
JCR 2018 6.162 (Q1 Oncology) 2019 6.126
LEYRE TORRE-TOJAL *, AITOR BASTARRIKA, BRIAN BARRETT, JAVIER MARIA SANCHEZ, JOSE MANUEL LOPEZ-GUEDE, MANUEL GRAÑA
Prediction of Aboveground Biomass from Low Density LiDAR data: Validation Over P. Radiata Data From a Region North of Spain
Forests, 10(9), 819 [38]
DOI https://doi.org/10.3390/f10090819
JCR (2018) 2.116 (Q2 Forestry)
R. Delgado and J. D. Núñez-González,
“Enhancing confusion entropy (cen) for binary and multiclass classification,”
PloS one, vol. 14, no. 1, p. e0210264, 2019.
https://doi.org/10.1371/journal.pone.0210264
JCR (2017) 2.766 (Q1 Mult Sci) (2018) 2.776 (Q2 Mutl Sci)
Jörg Keller and Manuel Grana and Rafał Kozik and Tomasz Andrysiak and Michał Choraś
Recent Advances, Emerging Methods and Applications of Pattern Recognition
Journal of Universal Computer Science, 23(6): 569--570 [39]
JCR 2018 0.910 (Q4 CSSE, Q3 CSTM)
Asier Garmendia, Manuel Graña, Jose Manuel Lopez Guede, Sebastian Rios
Neural and statistical predictors for time to readmission in emergency departments: a case study
Neurocomputing Volume 354, 18 August 2019, Pages 3-9 [40]
https://doi.org/10.1016/j.neucom.2018.05.135
JCR 2018 4.072 (Q1 CSAI) 2019 4.438
Patricio Wolff Manuel Graña, Sebastian A. Ríos, Maria Begoña Yarza
Machine learning readmission risk modeling- a pediatric case study
Biomed Research International vol. 2019, Article ID 8532892, 9 pages, (open access) [41]
https://doi.org/10.1155/2019/8532892.
JCR (2017) 2.583 (Q2 BAM, Q3 MRE) (2018) 2.197 (Q3 BAM, Q3 MRE)
J.L. Jiménez Bascones, Manuel Graña, J.M. Lopez-Guede
A solver-ensemble strategy to deal with occlusions in the labeling of clouds of motion markers
Neurocomputing (online) [42] (open access) Volume 353, 11 August 2019, Pages 96-105
https://doi.org/10.1016/j.neucom.2018.05.132
JCR 2018 4.072 (Q1 CSAI) 2019 4.438
Manuel Graña, Marcos Alonso, and Alberto Izaguirre
A PANORAMIC SURVEY ON GRASPING RESEARCH TRENDS AND TOPICS
Cybernetics and Systems (aceptado 30 noviembre 2018) Volume 50, 2019 - Issue 1, Pages 40-57
https://doi.org/10.1080/01969722.2018.1558013
JCR 2018 1.681 (Q3 CSC)
Manuel Graña, Leire Ozaeta, Darya Chyzhyk
Dynamic Causal Modeling and Machine Learning for Effective Connectivity in Auditory Hallucination
Neurocomputing Volumes 326–327, 31 January 2019, Pages 61-68 [43]
JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317
https://doi.org/10.1016/j.neucom.2016.08.157
JCR 2018 4.072 (Q1 CSAI) 2019 4.438
Sebastian Rios, Felipe Aguilera, JDavid Nuñez Gonzalez, Manuel Graña
Semantically enhanced network analysis for influencer identification in online social networks
Neurocomputing Volumes 326–327, 31 January 2019, Pages 71-81
JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317 (2017) 3.241 (Q1 CSAI) (2018) 4.072 (Q1 CSAI) 2019 4.438
https://doi.org/10.1016/j.neucom.2017.01.123
Asier Garmendia, Sebastian Rios, Jose Manuel Lopez Guede, Manuel Graña
Triage prediction in pediatric patients with respiratory problems
Neurocomputing Volumes 326–327, 31 January 2019, Pages 161-167 [44]
JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317 (2017) 3.241 (2018) 4.072 (Q1 CSAI) 2019 4.438
https://doi.org/10.1016/j.neucom.2017.01.122
Aitor Saenz-Aguirre,Ekaitz Zulueta,Unai Fernandez-Gamiz,Javier Lozano andJose Manuel Lopez-Guede
Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control
Energies 2019, 12(3), 436; https://doi.org/10.3390/en12030436

2018

Juan Luis Osa, Naiara Ortega, Gorka Vidal, Borja Fernandez-Gauna, Asier Carballo, Ibon Tolosa
Future of the discrete element method in the modelling of grinding wheels
Engineering Computations (2018) Vol. 35 Issue: 6, pp.2255-2271
JCR 2016: 1.01 (Q3 ENG-MUL 52/85)
https://doi.org/10.1108/EC-11-2017-0450
M Graña, JM Lopez-Guede, A Herrero, H Quintian, E Corchado
Editorial: Special issue CISIS 2016
Logic Journal of the IGPL Volume 26, Issue 6, 27 November 2018, Pages 567–568
JCR 2018 0.609 (Q4 MA, Q3 M, Q2 L)


AITOR MORENO-FERNANDEZ-DE-LECETA, JOSE MANUEL LOPEZ-GUEDE, LEIRE EZQUERRO INSAGURBE, NORA RUIZ DE ARBULO, MANUEL GRAÑA
A novel methodology for clinical semantic annotations assessment
Logic Journal of the IGPL Volume 26, Issue 6, 27 November 2018, Pages 569–580
DOI [ https://doi.org/10.1093/jigpal/jzy021]
JCR 2018 0.609 (Q4 MA, Q3 M, Q2 L)
Arkaitz Artetxe, Andoni Beristain, Manuel Graña
Predictive models for hospital readmission risk: A systematic review of methods
Computer Methods and Programs in Biomedicine Volume 164, October 2018, Pages 49-64 [45]
https://doi.org/10.1016/j.cmpb.2018.06.006
JCR (2017) 2.674 (Q2 CSIA, Q1 CSTM, Q2 EB, Q2 MI) (2018) 3.424 (Q1 CSIA, Q1 CSTM, Q2 EB, Q1 MI)
Leire Ozaeta, Manuel Graña, Maya Dimitrova, Alexander Krastev
Child oriented storytelling with NAO robot in hospital environment: preliminary application results.
Problems of Engineering Cybernetics and Robotics Journal, No 69:21-29. Bulgarian Academy of Sciences Publishing. pdf [46]
Print ISSN: 0204-9848, Online ISSN: 1314-409X
Jose Manuel Lopez-Guede, Julian Estevez, Asier Garmendia, Manuel Graña
Making Physical Proofs of Concept of Reinforcement Learning Control in Single Robot Hose Transport Task Complete
Neurocomputing [47] Volume 271, 3 January 2018, Pages 95-103
JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317
Borja Fernandez-Gauna;Juan Luis Osa;Manuel Graña
Experiments of Conditioned Reinforcement Learning in Continuous Space Control Tasks
Neurocomputing (acept 3 august) Volume 271, 3 January 2018, Pages 38-47 [48]
JCR (2014) 2.083 (Q2 CSAI) (2015) 2.392 (Q1 CSAI) (2016) 3.317
DOI 10.1016/j.neucom.2016.08.155

2017

Lide Arenaza; María medrano; María Amasene; Beatriz Rodríguez-Vigil; Ignacio Diez; Manuel Graña; Ignacio Tobalina; Edurne Maiz; Edurne Arteche; Eider Larrarte; Inge Huybrechts; Catherine davis; Jonatan Ruiz; Francisco ortega; Javier Margareto; Idoia Labayen;
Prevention of diabetes in overweight/obese children through a family-based intervention program including supervised exercise (PREDIKID project): study protocol for a randomized controlled trial
Trials (2017) 18:372 [49]
DOI 10.1186/s13063-017-2117-y
JCR 1.969 (2017) 2.067 (Q3 MRE)


Ariadna Besga, Darya Chyzhyk, Itxaso Gonzalez Ortega, Jon Echeveste, Marina Grana-Lecuona, Manuel Grana, Ana González-Pinto
White Matter Tract Integrity in Alzheimer’s Disease versus Late Onset Bipolar Disorder and its Correlation with Systemic Inflammation and Oxidative Stress Biomarkers
Frontiers in Aging Neuroscience, 9:179 [50]
DOI https://doi.org/10.3389/fnagi.2017.00179
JCR 2015 4.348 (Q1 GG. Q1 Neuroscience) 2016 4.504 (2017) 3.582 (Q2 GG, Q2 Neuroscience)


Arkaitz Artetxe, Borja Ayerdi, Manuel Graña, Sebastian Rios
Using Anticipative Hybrid Extreme Rotation Forest to Predict Emergency Service Readmission Risk
Journal of Computational Science, Volume 20, May 2017, Pages 154–161 (aceptado 23 de diciembre) [51]
DOI http://dx.doi.org/10.1016/j.jocs.2016.12.008
JCR (2015) 1.078 (2016) 1.748 (2017) 1.925 (Q3 CSIA, Q2 CSTM)
Manuel Graña, Leire Ozaeta, and Darya Chyzhyk
Resting State Effective Connectivity Allows Auditory Hallucination Discrimination
International Journal of Neural Systems,27(5): 1750019
DOI: http://dx.doi.org/10.1142/S0129065717500198
JCR (2015) 6.085 (Q1 CSAI) (2016) 6.333
Alexandre M. Savio, Michael Schutte, Manuel Graña and Igor Yakushev
Pypes: Workflows for Processing Multimodal Neuroimaging Data
Front. Neuroinform., 11 April 2017 | https://doi.org/10.3389/fninf.2017.00025
JCR 2015 3.047 (Q1 MCB, Q2 Neuroscience) 2016 3.870


ASIER GARMENDIA, MANUEL GRAÑA, JOSE MANUEL LOPEZ-GUEDE, SEBASTIAN RIOS
Predicting patient hospitalization after emergency readmission
Cybernetics and systems VOL. 48, NO. 3, 182–192
[doi http://dx.doi.org/10.1080/01969722.2016.1276772]
2015 Impact Factor: 0.888 (Q3) 2016 1.434 (Q3)
Borja Fernandez-Gauna, Unai Fernandez-Gamiz, and Manuel Graña
Variable Speed Wind Turbine Controller Adaptation by Reinforcement Learning
Integrated Computer-Aided Engineering 24(1) (2017) 27–39 [52]
JCR (2014) 4.698 (Q1 CSAI, CSIA, ENG) (2015) 4.981 (2016) 4.981
DOI 10.3233/ICA-160531
P. Martínez-Filgueira, U. Fernandez-Gamiz, E. Zulueta, I. Errasti, B. Fernandez-Gauna
Parametric study of low-profile vortex generators
International Journal of Hydrogen Energy 42(28), 17700-17712
JCR (2015) 3.205 (Q2 ID, EI, HQ)
[doi http://dx.doi.org/10.1016/j.ijhydene.2017.03.102]
Julian Estevez, Manuel Graña, and Jose Manuel Lopez-Guede
Online fuzzy adaptive PD control for cooperative aerial transportation of deformable linear objects
Integrated Computer-Aided Engineering (2017) vol. 24, no. 1, pp. 41-55, 2017 [53]
JCR (2014) 4.698 (Q1 CSAI, CSIA, ENG) (2015) 4.981 (2016) 4.981
Pawel Ksieniewicz, Manuel Grana and Michal Wozniak
Paired Feature Multilayer Ensemble
Journal of Intelligent and Fuzzy Systems, [54] vol. 32, no. 2, pp. 1427-1436, 2017
Impact Factor 2014: 1.812, (Q2) 2015 1.004 (Q3) 2016 1.004

2016

J Maiora, G Garcia, B Ayerdi, M Grana, M De Blas
Active Learning enhanced with Expert Knowledge for Computed Tomography Image Segmentation
InImpact: The Journal of Innovation Impact 6 (1), 12-15 [55]


J. David Nuñez-Gonzalez, Borja Ayerdi, Manuel Graña, Michał Wozniak
A New Heuristic for Influence Maximization in Social Networks
Logic journal of the IGPL (aceptado 29 abril), Log J IGPL (2016) 24 (6): 996-1014.
DOI: https://doi.org/10.1093/jigpal/jzw048
JCR 2015 0.434 (Q4)
Manuel Graña, Darya Chyzhyk
Image Understanding Applications of Lattice Auto-Associative Memories
IEEE Transactions on Neural Networks and Learning Systems, (aceptdo 24 julio 2015) Volume: 27, Issue: 9, Sept. 2016 pp.1920 - 1932 [online]
DOI 10.1109/TNNLS.2015.2461451
JCR (2014) 4.291 (Q1 CSAI) (2015) 4.854 (2016) 6.108
Bogusław Cyganek, Manuel Graña, Piotr Porwik & Michał Woźniak
Intelligent Methods Applied to Health-Care Information Systems
Applied Artificial Intelligence, 30:6, 495-496,
DOI: 10.1080/08839514.2016.1193713
JCR 2015 0.540 (CSAI Q4, EEE Q4) 2016 0.652
Bogusław Cyganek, Manuel Graña, Bartosz Krawczyk, Andrzej Kasprzak, Piotr Porwik, Krzysztof Walkowiak & Michał Woźniak
A Survey of Big Data Issues in Electronic Health Record Analysis
Applied Artificial Intelligence, 30:6, 497-520, [56]
DOI: 10.1080/08839514.2016.1193714
JCR 2015 0.540 (CSAI Q4, EEE Q4) 2016 0.652
I. Macía, M. de Blas, J.H. Legarreta, L. Kabongo, O. Hernández, J.M. Egaña, J.I. Emparanza, A. García-Familiar, M. Graña
Standard and Fenestrated Endograft Sizing in EVAR Planning: Description and Validation of a Semi-automated 3D Software
Computerized Medical Imaging and Graphics [57] [58] (accept 16 enero 2015) Volume 50, June 2016, Pages 9–23
JC· 2013 1.496 (Q3 RNMMI) 2015 1.385 (Q3 EB; Q3 RNMMI; ) 2016 1.738


Borja Ayerdi, Manuel Graña
Hyperspectral Image Analysis by Spectral–Spatial Processing and Anticipative Hybrid Extreme Rotation Forest Classification
IEEE Transactions on Geoscience and Remote Sensing (TGARS) Volume: 54(5) : 2627 - 2639, [59]
DOI: 10.1109/TGRS.2015.2503886
JCR 2014 - 3.514 (2015) 3.360 (Q1 GG; Q1 EEE; Q1 RS; Q1 ISPT) (2016) 4.942
Ariadna Besga-Basterra, Darya Chyzhyk, Itxaso González-Ortega, Alexandre Savio, Borja Ayerdi, Jon Echeveste, Manuel Graña, Ana González-Pinto
Eigenanatomy on fractional anisotropy imaging provides white matter anatomical features discriminating between Alzheimer’s Disease and Late Onset Bipolar Disorder
Current Alzheimer Research, 13(5): 557 - 565 [60]
JCR (2013) 3.796 (Q1 Clin Neurol, Q2 Neurosciences) (2014) 3.889 (2015) 3.145 (Q2 CN; Q2 Neurosciences) (2016) 2.952
DOI: 10.2174/1567205013666151116125349
NAIARA MURO, EIDER SANCHEZ, CARLOS TORO, MANUEL GRAÑA, EDUARDO CARRASCO, FRANK GUIJARRO, and SEBASTIAN A. RÍOS
EXPERIENCE BASED ELECTRONIC HEALTH RECORDS [61]
Cybernetics and Systems Volume 47, Issue 1-2, 2016, 126-139
2014 Impact Factor: 0.840 ; 2015 0.880 (Q3 CSC)
JULIAN ESTEVEZ, JM. LOPEZ-GUEDE, MANUEL GRAÑA
Particle Swarm Optimization quadrotor control for cooperative aerial transportation of deformable linear objects
Cybernetics and Systems Volume 47, Issue 1-2, 2016, 4-16
DOI http://dx.doi.org/10.1080/01969722.2016.1128759
Maite Termenon, Manuel Graña, Alexandre Savio, Anton Akusok, Yoan Miche, Amaury Lendasse
Brain MRI Morphological Patterns Extraction Tool based on Extreme Learning Machine and Majority Vote Classification
Neurocomputing (aceptado 6 de marzo) [62] Volume 174, Part A, 22 January 2016, Pages 344–351
JCR (2015) 2.392 (Q1 CSAI) (2016) 3.317
Borja Ayerdi, Manuel Graña
Hyperspectral Image Nonlinear Unmixing and Reconstruction by ELM Regression Ensemble
Neurocomputing [63] Volume 174, Part A, 22 January 2016, Pages 299–309
doi 10.1016/j.neucom.2015.04.10
JCR (2015) 2.392 (Q1 CSAI) (2016) 3.317


Manuel Graña, Darya Chyzhyk, Carlos Toro, Sebastian Rios
Innovations in Healthcare and Medicine editorial
Computers in Biology and Medicine [64] Volume 72, 1 May 2016, Pages 226–228
DOI 10.1016/j.compbiomed.2016.03.003
JCR (2015) 1.521 (Q2 Biology; Q3 CSIA; Q3 EB; Q2 MCB; ) (2016) 1.836

2015

PAWEL KSIENIEWICZ, DARIUSZ JANKOWSKI, BORJA AYERDI, KONRAD JACKOWSKI, MICHAL WOZNIAK, MANUEL GRANA
A Novel Hyperspectral Segmentation Algorithm - Concept and Evaluation
Logic journal IGPL (aceptado noviembre 2014) (2015) 23 (1): 105-120 [65]
JCR 2013 0.530 (Q2 Logic, Q3 Mathematics, Q4 MA) (2014) 0.461 (Q3 Logic, Q3 Mathematics, Q4 MA)
Medrano M, Maiz E, Maldonado-Martín S, Arenaza L, Rodríguez-Vigil B, Ortega FB, Ruiz JR, Larrarte E, Díez I, Sarasúa A, Tobalina I, Barrenechea L, Pérez-Asenjo J, Kannengiesser S, Manhães-Savio A, Echaniz O, Labayen I
The effect of a multidisciplinary intervention program on hepatic adiposity in overweight-obese children: protocol of the EFIGRO study
Contemporary Clinical Trials, November 2015 Volume 45, Part B, Pages 346–355
DOI: 10.1016/j.cct.2015.09.017
Besga, A., B. Ayerdi, G. Alcalde, A. Manzano, P. Lopetegui, M. Graña, A. Gonzalez-Pinto
"Risk factors for emergency department short time readmission in stratified population", [66]
BioMed Research International 2015 (2015) Article ID 685067.
JCR (2015) 2.134
Ariadna Besga, Itxaso González-Ortega, Enrique Echeburúa, Alexandre Savio, Borja Ayerdi, Darya Chyzhyk, Jose LM Madrigal, Juan C. Leza, Manuel Graña, Ana González-Pinto
"Discrimination between Alzheimer’s Disease and Late Onset Bipolar Disorder using multivariate analysis"
Frontiers in Aging Neuroscience, 7:231
JCR (2014) - 4.000 (2015) 4.348
DOI 10.3389/fnagi.2015.00231
Jose Manuel Lopez-Guede, Aitor Moreno-Fernandez-de-Leceta, Alexeiw Martinez-Garcia, Manuel Graña
Lynx: Automatic elderly behavior prediction in home tele care [67]
Biomed Research International (Hindawi) (aceptado 22 oct) Volume 2015 (2015), Article ID 201939,
JCR (2014) 1.579 (2015) 2.134


Alexandre Savio, Manuel Graña
Local Activity Features for Computer Aided Diagnosis of Schizophrenia on resting-state fMRI
Neurocomputing (aceptado 10 enero 2015) [68] Volume 164, 21 September 2015, Pages 154–161
DOI 10.1016/j.neucom.2015.01.079
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
Manuel Graña, Eider Sanchez, Michal Wozniak
Special issue on innovations in medicine and healthcare
Biosystems Engineering, Volume 138, October 2015, Pages 1–3 [69]
DOI 10.1016/j.biosystemseng.2015.06.009
Borja Fernandez-Gauna; Jose Manuel Lopez-Guede; Ismael Etxeberria-Agiriano; Igor Ansoategi; Manuel Graña
Reinforcement Learning endowed with safe veto policies to learn the control of L-MCRS
Information Sciences Volume 317, 1 October 2015, Pages 25–47 [70]
DOI 10.1016/j.ins.2015.04.005
JCR (2014) 4.038 (Q1 CSAI) (2015) 3.364
Lopez-Guede, Jose M.; Fernandez-Gauna, Borja; Graña, Manuel; Zulueta, Ekaitz;
Training Multi-agent systems by Q-learning: approaches and empirical results
Computational Intelligence vol 31 num 3 pp. 498-512 [71]
DOI: 10.1111/coin.12035
JCR (2012) 1.000 (Q3 CSAI) (2013) 0.870 (2014) 0.673
J. David Nuñez-Gonzalez, Manuel Graña, Bruno Apolloni,
Reputation Features for Trust Prediction in Social Networks,
Neurocomputing Volume 166, 20 October 2015, Pages 1–7 [72]
DOI 10.1016/j.neucom.2014.10.099
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
Ion Marques, Manuel Graña, Anna Kamińska-Chuchmała, Bruno Apolloni,
An experiment of subconscious intelligent social computing on household appliances,
Neurocomputing, Volume 167, 1 November 2015, Pages 32–43 (aceptado agosto 2014) [73]
DOI 10.1016/j.neucom.2014.08.103
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
Darya Chyzhyk, Alexandre Savio, Manuel Graña
Computer Aided Diagnosis of Schizophrenia on resting state fMRI data by Ensembles of ELM
Neural Networks Volume 68, August 2015, Pages 23–33. [74]
DOI information: 10.1016/j.neunet.2015.04.002
JCR (2013) 2.076 (Q1 CSAI, Q3 Neurosciences) (2014) 2.708
Chyzhyk D, Graña M, Öngür D, Shinn AK.
Discrimination of Schizophrenia Auditory Hallucinators by Machine Learning of Resting-State Functional MRI.
International Journal of Neural Systems 25(3):1550007, 2015. pdf [75]
JCR 2013 6.056 (Q1 CSAI) (2014) 6.507 (2015) 6.085
A. Suberbiola, E. Zulueta, J.M. Lopez-Guede, I. Etxeberria-Agiriano, and M. Graña
Arm Orthosis/Prosthesis Movement Control Based on Surface EMG Signal
International Journal of Neural Systems 25(3):1550009 [76] (2015)
JCR 2013 6.056 (Q1 CSAI) (2014) 6.507
MANUEL GRAÑA, J. DAVID NUÑEZ-GONZALEZ, LEIRE OZAETA, ANNA KAMIŃSKA-CHUCHMAŁA
Experiments of Trust Prediction in Social Networks by Artificial Neural Networks [77]
Cybernetics and Systems Volume 46, Issue 1-2, 2015 pages 19-34
JCR (2012): 0.973 (Q3 CSC) (2013) 0.507 (2014) 0.840
DOI:10.1080/01969722.2015.1007725
EIDER SANCHEZ, CARLOS TORO, MANUEL GRAÑA, CESAR SANIN, EDWARD SZCZERBICKI
Extended Reflexive Ontologies for the generation of clinical recommendations [78]
Cyberntetics and Systems Volume 46, Issue 1-2, 2015 pages 4-18
JCR (2012): 0.973 (Q3 CSC) (2013) 0.507 (2014) 0.840


Julián Estévez, Jose Manuel Lopez-Guede, Manuel Graña
Quasi-stationary State Transportation of a Hose with Quadrotors
Robotics and Automous Systems (aceptado 5 sept) Volume 63, Part 2, January 2015, Pages 187–194 [79]
JCR (2013) 1.105, (Q3 Robotics, Q3 CSAI, Q3 ACS) (2014) 1.256 (Q2 Robotics, Q3 CSAI, Q3 ACS)


M Graña, B Raducanu
Bioinspired and knowledge based techniques and applications
Neurocomputing Volume 150, Part A, 20 February 2015, Pages 1–3
DOI 10.1016/j.neucom.2014.09.039
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)


Darya Chyzhyk, Manuel Graña
Classification of Schizophrenia patients on Lattice Computing resting-state fMRI features [80]
Neurocomputing Volume 151, Part 1, 3 March 2015, Pages 151–160
DOI 10.1016/j.neucom.2014.09.075
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
Darya Chyzhyk, Rosalía Dacosta-Aguayo, Maria Mataró, Manuel Graña
An active learning approach for Stroke lesion segmentation on multimodal MRI data
Neurocomputing Volume 150, Part A, 20 February 2015, Pages 26–36 [81]
DOI:10.1016/j.neucom.2014.01.077
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)


Borja Ayerdi, Ion Marqués, Manuel Graña
Spatially regularized semisupervised Ensembles of Extreme Learning Machines for hyperspectral image segmentation
Neurocomputing (aceptado 18 de enero 2014) Volume 149, Part A, 3 February 2015, Pages 373–386 [82]
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
DOI 10.1016/j.neucom.2014.01.068


Jose Manuel Lopez-Guede, Borja Fernandez-Gauna,Jose Antonio Ramos-Hernanz
Single robot dynamics approximation by ELM for Reinforcement Learning for hose control
Neurocomputing Volume 150, Part A, 20 February 2015, Pages 116–123
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)


G.A. Papakostas, A. Savio, M. Graña, V.G. Kaburlasos
A Lattice Computing Approach to Alzheimer’s Disease Computer Assisted Diagnosis Based on MRI Data [83]
Neurocomputing Volume 150, Part A, 20 February 2015, Pages 37–42
JCR 2013 2.005 (Q1 CSAI) (2014) 2.083 (Q2 CSAI)
Dacosta-Aguayo, Rosalia; Graña, Manuel; Iturria-Medina, Yasser; Fernández-Andújar, Marina; López-Cancio, Elena; Caceres, Cynthia; Bargallo, Nuria; Barrios, Maite; Clemente, Imma; Pera, Guillem; Fores, Rosa; Davalos, Antoni; Mataro, Maria
Impairment of Functional Integration of the Default Mode Network correlates with Cognitive Outcome at three months after Stroke
Human Brain Mapping Volume 36, Issue 2, February 2015, Pages: 577–590
DOI: 10.1002/hbm.22648
Impact Factor: 6.878, ISI Journal Citation Reports © Ranking: 2012: 1/14 (Neuroimaging); 1/120 (Radiology Nuclear Medicine & Medical Imaging); 23/252 (Neurosciences) (2013) 6.924 (Q1 Neuroimaging, Q1 RNMMI, Q1 Neurosciences) (2014) 5.969
Borja Fernandez-Gauna; Ismael Etxeberria-Agiriano; Manuel Graña
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
PlosOne, Volume 10(7): e0127129 ( published 09 Jul 2015)
JCR (2012) 3.730, (Q1 mult. sciences) (2013) 3.534 (Q1 mult. sci.) (2014) 3.234
DOI 10.1371/journal.pone.0127129

2014

Eider Sanchez, Peng Wang, Carlos Toro, Cesar Sanin, Manuel Graña, Edward Szczerbicki, Eduardo Carrasco, Frank Guijarro and Luis Brualla
Decisional DNA for modeling and reuse of experiential-based clinical assessments in breast cancer diagnosis and treatment
Neurocomputing Volume 146, 25 December 2014, Pages 308–318 [84]
JCR 2013 2.005 (Q1 CSAI)
Jose Manuel Lopez-Guede, Manuel Graña, Jesus Maria Larrañaga, Fernando Oterino
Educational innovation project in the field of Industrial Informatics
Procedia - Social and Behavioral Sciences, Volume 141, 25 August 2014, Pages 20–24
DOI 10.1016/j.sbspro.2014.05.006
Jose Manuel Lopez-Guede, Manuel Graña, Jesus Maria Larrañaga, Fernando Oterino
Retrospective Vision of a Long Term Innovative Experience
Procedia - Social and Behavioral Sciences, Volume 141, 25 August 2014, Pages 15–19
DOI 10.1016/j.sbspro.2014.05.005
Rosalia Dacosta-Aguayo; Manuel Graña; Alexandre Savio; Marina Fernández-Andújar ; Tibor Auer ; Monica Millán ; Elena López-Cancio ; Cynthia Cáceres ; Nuria Bargalló ; Cesar Garrido ; Maite Barrios ; Inmaculada Clemente ; Monica Hernández ; Jose Munuera ; Antonio Dávalos ; Maria Mataró
Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: a 3T fMRI pilot study
Human Brain Mapping (aceptado 15 nov 2013) Volume 35, Issue 8, pages 3819–3831, August 2014 [85]
Impact Factor: 6.878, ISI Journal Citation Reports © Ranking: 2012: 1/14 (Neuroimaging); 1/120 (Radiology Nuclear Medicine & Medical Imaging); 23/252 (Neurosciences) (2013) 6.924 (Q1 Neuroimaging, Q1 RNMMI, Q1 Neurosciences) (2014) 5.969
Borja Fernández-Gauna; Igor Ansoategui; Ismael Etxeberria-Agiriano; Manuel Graña
Reinforcement Learning of ball screw feed drive controllers
Engineering Applications of Artificial Intelligence Volume 30, April 2014, Pages 107–117 [86]
JCR (2011) 1.665 (Q1 ENG) (2012) 1.625 (Q1 ENG, Q2 ACS, Q2 CSAI, Q2 EEE) (2013) 1.962 (Q1 ENG, Q2 ACS, Q2 CSAI, Q2 EEE) (2014) 2.207 (Q1 ENG, Q2 ACS, Q1 CSAI, Q1 EEE)
Borja Ayerdi and Manuel Graña
Hybrid Extreme Rotation Forest
Neural Networks Volume 52, April 2014, Pages 33–42 [87]
JCR (2012) 1.927 (Q1 CSAI, Q3 NS) (2013) 2.076 (Q1 CSAI, Q3 NS) (2014) 2.708
Tuia, D. ; Merenyi, E. ; Jia, X. ; Grana-Romay, M.
Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing [88]
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of (Volume:7 , Issue: 4 ) pp. 1007 - 1011
JCR (2012) 2.874 (Q2 GP, Q1 ISPT, Q1 RS) (2013) 2.827 (Q2 GP, Q1 ISPT, Q1 RS, Q1 EEE)
Abdelmalik Moujahid, Alicia d'ANjou, Manuel Graña
Energy demands of diverse spiking cells from the neocortex, hippocampus and thalamus
Frontiers in Computational Neuroscience (2014) 8:41 [89]
DOI: 10.3389/fncom.2014.00041
JCR (2013) 2.233 (Q1 MCB, Q2 neurosciences)
Iker Mesa, Eider Sanchez, Carlos Toro, Javier Diaz, Arkaitz Artetxe, Manuel Graña, Frank Guijarro, Cesar Martinez, Jose Manuel Jimenez, Shabs Rajasekharan, Jose Antonio Alarcon, Alessandro De Mauro.
Design and Development of a Mobile Cardiac Rehabilitation System
Cybernetics and Systems: An International Journal, Volume 45 Issue 2 (2014), pp 92-108 [90]
JCR (2012): 0.973 (Q3 CSC) (2013) 0.507 (2014) 0.840
Israel Rebollo-Ruiz and Manuel Graña
An empirical evaluation of Gravitational Swarm Intelligence for Graph Coloring algorithm
Neurocomputing Volume 132, 20 May 2014, Pages 79–84 [91]
JCR (2011) 1.580 (Q2 CSAI) 2013 2.005 (Q1 CSAI)
Rosalia Dacosta-Aguayo; Manuel Graña; Marina Fernandez-Andujar; Elena López-Cancio; Cynthia Cáceres; Nuria Bargallo; Maite Barrios; Imma Clemente; Antoni Dávalos; Auer Tibor; Maria Mataró
Structural integrity of the contralesional hemisphere predicts cognitive impairment in ischemic stroke at three months
PLosONe January 2014 | Volume 9 | Issue 1 | e86119 [92]
JCR (2012) 3.730, (Q1 mult. sciences) (2013) 3.534 (Q1 mult. sci.) (2014) 3.234
Ramon Moreno, Francesco Corona, Amaury Lendasse, Manuel Grana and Lenio Galvao
Extreme Learning Machines for Soybean classification in remote sensing Hyperspectral Images
Neurocomputing Volume 128, 27 March 2014, Pages 207–216 [93]
JCR (2012) 1.634 (T1, Q2 CSAI) 2013 2.005 (Q1 CSAI)
Darya Chyzhyk, Alexandre Savio, Manuel Graña,
Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRI pdf
Neurocomputing, Volume 128, 27 March 2014, Pages 73-80,
ISSN 0925-2312, http://dx.doi.org/10.1016/j.neucom.2013.01.065.
JCR (2012) 1.634 (T1, Q2 CSAI) 2013 2.005 (Q1 CSAI)
Josu Maiora; Borja Ayerdi; Manuel Graña
Random forest active learning for AAA thrombus segmentation in computed tomography angiography images
Neurocomputing Volume 126, 27 February 2014, Pages 71–77 [94]
(2011) JCR 1.580 (Q2 CSAI) 2013 2.005 (Q1 CSAI)
Michal Wozniak,, Manuel Graña, Emilio Corchado,
A Survey of Multiple Classifier System as Hybrid Systems
Information Fusion Volume 16, March 2014, Pages 3–17 [95]
JCR (2011) 1.467 (Q2 CSAI, Q1 CSTM) (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472 (2014) 3.681
Michal Wozniak, Emilio Corchado, Manuel Graña
Guest Editorial: Hybrid Intelligent Fusion Systems
Information Fusion Volume 16, March 2014, Pages 2
(2011) JCR 1.467 (Q1 CSTM, Q2 CSAI) (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472 (2014) 3.681
Carmen Hernández , Leónia Nunes , Domingos Lopes , Manuel Graña
Data Fusion for high spatial resolution LAI estimation
Information Fusion Volume 16, March 2014, Pages 59–67 [96]
JCR (2010) 1.621 (2011) 1.467 (Q1 CSTM, Q2 CSAI) (2012) 2.262 (Q1 CSAI, Q1 CSTM) (2013) 3.472 (2014) 3.681
B Ayerdi, J Maiora, A d'Anjou, M Graña
Applications of Hybrid Extreme Rotation Forests for image segmentation
International Journal of Hybrid Intelligent Systems 11 (1), 13-24
Noelia Oses, Fadi Dornaika, and Abdelmalik Moujahid
Image-based delineation and classification of built heritage masonry [97]`
Remote Sens. 2014, 6(3), 1863-1889; doi:10.3390/rs6031863

2013

Jose Manuel Lopez-Guede, Borja Fernandez-Gauna and Manuel Grana
"State-action value modeled by ELM in Reinforcement Learning for Hose Control Problems" ,
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 21, supp02, 99-116 [98]
JCR (2011) 1.781 (Q2 CSAI) (2012) 0.886 (Q3 CSAI)
Miguel A. Veganzonesa, Mihai Datcu, Manuel Graña,
Further results on dissimilarity spaces for hyperspectral images RF-CBIR
Pattern Recognition Letters Volume 34, Issue 14, 15 October 2013, Pages 1659-1668 [99]
JCR (2012) 1.266 (CSAI Q2) (2013) 1.062 (Q3 CSAI)
Israel Rebollo-Ruiz and Manuel Graña Romay
Swarm Graph Coloring for the identification of user groups on ERP logs
Cybernetics and systems Volume 44, Issue 6-7: 489–504, (2013) [100]
JCR 2012 0.973 (Q3 CSC) 2013 0.507 (Q4 CSC)
Darya Chyzhyk, Borja Ayerdi, Josu Maiora
Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation
Pattern Recognition Letters 34 (2013), pp. 1602-1608
DOI: 10.1016/j.patrec.2013.03.024
JCR (2011) 1.034, 5-Year Impact Factor: 1.724 (JRC) (Q3 CSAI) : JCR (2012) 1.266 (CSAI Q2) (2013) 1.062 (Q3 CSAI)
Eider Sanchez, Carlos Toro, Arkaitz Artetxe, Manuel Graña, Cesar Sanin, Edward Szczerbicki, Eduardo Carrasco and Frank Guijarro
Bridging challenges of Clinical Decision Support Systems with a semantic approach . A case study on breast cancer.
Pattern Recognition Letters 34 (2013), pp. 1758-1768 [101]
JCR (2011) 1.034, 5-Year Impact Factor: 1.724 (JRC) (Q3 CSAI) : JCR (2012) 1.266 (CSAI Q2) (2013) 1.062 (Q3 CSAI)


Edward Szczerbicki, Manuel Graña, Jorge Posada & Carlos Toro
CURRENT RESEARCH ADVANCES AND IMPLEMENTATIONS IN SMART KNOWLEDGE-BASED SYSTEMS: PART I
Cybernetics and Systems 44(2-3):95-97 [102]
JCR 2011 1.182 (Q2 CSC) (2012) 0.973 (Q3 CSC) 2013 0.507 (Q4 CSC)
Edward Szczerbicki, Manuel Graña, Jorge Posada & Carlos Toro
CURRENT RESEARCH ADVANCES AND IMPLEMENTATIONS IN SMART KNOWLEDGE-BASED SYSTEMS: PART II
Cybernetics and Systems 44(2-3):184-186[103]
JCR 2011 1.182 (Q2 CSC) (2012) 0.973 (Q3 CSC) 2013 0.507 (Q4 CSC)
Iñigo Barandiaran, Manuel Graña, Marcos Nieto
An Empirical Evaluation of Interest Point Detectors
Cybernetics and Systems 44(2-3):98-117 [104]
JCR 2011 1.182 (Q2 CSC) (2012) 0.973 (Q3 CSC) 2013 0.507 (Q4 CSC)


Arkaitz Artetxe, Eider Sanchez, Carlos Toro, Cesar Sanin, Edward Szczerbick, Manuel Graña, Jorge Posada
Impact of Reflexive Ontologies in Semantic Clinical Decision Support Systems [105]
Cybernetics and Systems 44(2-3):187-203 [106]
JCR 2011 1.182 (Q2 CSC) (2012) 0.973 (Q3 CSC) 2013 0.507 (Q4 CSC)
Borja Fernandez-Gauna; Ion Marques; Manuel Graña
Undesired State-Action Prediction in Multi-Agent Reinforcement Learning. Application to Multicomponent Robotic System control
Information Sciences (2013) 232:309–324 [107]
(2011) JCR 2.833 (Q1 CSIS) (2012) 3.643 (Q1 CSIS) (2013) 3.893
Maite Termenon, Manuel Grana, Barros-Loscertales Alfonso and Cesar Avila
"Extreme Learning Machines for feature selection and classification of cocaine dependent patients on structural MRI data " ,
Neural Processing Letters December 2013, Volume 38, Issue 3, pp 375-387 [108]
JCR (2012) 1.240 (Q2 CSAI) 2013 1.237 (Q2 CSAI)


M. Termenon, M. Graña, A. Besga, J. Echeveste, A. Gonzalez-Pinto
Lattice Independent Component Analysis feature selection on Diffusion Weighted Imaging for Alzheimer’s Disease Classification
Neurocomputing (2013) Volume 114, 19 August 2013, Pages 132–141 [109]
JCR (2011) 1.580: (Q2 CSAI) (2012) 1.634 (T1, Q2 CSAI)
Eloy Irigoyen, , Gorka Miñano
A NARX neural network model for enhancing cardiovascular rehabilitation therapies
Neurocomputing (2013) 109(3):9–15
JCR (2010) 1.442 (2011) 1.580 (Q2 CSAI) (2012) 1.634 (T1, Q2 CSAI) 2013 2.005 (Q1 CSAI)


Ion Marques, Manuel Graña
Fusion of lattice independent and linear features improving face identification
Neurocomputing Volume 114, 19 August 2013, Pages 80–85
JCR (2011) 1.580 : (Q2 CSAI) (2012) 1.634 (T1, Q2 CSAI) 2013 2.005 (Q1 CSAI)
M. Graña, A.I Gonzalez-Acuña
Learning Parsimonious Dendritic Classifiers
Neurocomputing (2013) 109(3):3–8 [110] [111]
JCR (2010) 1.442 (2011) 1.580 (Q2 CSAI) (2012) 1.634 (T1, Q2 CSAI) 2013 2.005 (Q1 CSAI)
Alexandre Savio, Manuel Graña
Deformation Based Feature Selection for Computer Aided Diagnosis of Alzheimer's Disease
Expert Systems With Applications 40 (2013), pp. 1619-1628 [112]
JCR (2011) 2.203 (Q1 in CSAI) (2012) (Q2 CSAI, Q1 EEE, Q1 ORMS) (2013) 1.965 (Q1 CSAI, Q2 EEE, Q1 ORMS)
F. Dornaika, A. Moujahid, and B. Raducanu
Facial expression recognition using tracked facial actions: Classifier performance analysis
Engineering Applications of Artificial Intelligence 26(1), pp.467-477 (2013).
5-Year Impact Factor: 1.844
Borja Fernandez-Gauna, Jose Manuel Lopez-Guede, Manuel Graña
Transfer Learning with Partially Constrained Models: application to reinforcement learning of linked multicomponent robot system control
Robotics and Autonomous Systems 61 (7) (2013):694–703 [113]
JCR (2011) 1.056 (Q2 ACS, Q3 CSAI, Q3 Rob.) (2012) 1.156 (Q3 ACS, Q3 CSAI, Q2 Robotics) (2013) 1.105 (Q3 ACS, Q3 CSAI, Q3 Robotics)
Manuel Graña, Adrian Agreda
Trust models and applications in communication and multi-agent systems
International Journal of Knowledge-based and Intelligent Engineering Systems 17 (2013) 187–193
Diego Acosta · John Congote · Iñigo Barandiaran · Oscar Ruiz · Alejandro Hoyos · Manuel Graña
Tuning of Adaptive Weight Depth Map Generation Algorithms Exploratory Data Analysis and Design of Computer Experiments (DOCE)
Journal of Mathematical Imaging and Vision 47:3-12 [114]
JCR (2011) 1.391 (Q2 CSAI, Q1 CSSE, Q1 MA) (2012) 1.767 (Q2 CSAI, Q1 CSSE, Q1 MA) (2013) 2.330 (Q1 CSAI, Q1 CSSE, Q1 MA)
Bosaghzadeh, A., Moujahid, A., & Dornaika, F.
Parameterless local discriminant embedding.
Neural Processing Letters August 2013, Volume 38, Issue 1, pp 53-67
JCR (2012) 1.240 2013 1.237 (Q2 CSAI)

2012

Jose Manuel Lopez-Guede, Borja Fernadez-Gauna, Manuel Graña, Fernando Oterino and Jesus Maria Larrañaga
Effect of the Lambda Parameter in Dynamic Matrix Controllers Performance
Journal of Computer and Information Technology Vol.2, No.2, pp. 81-88
A. Moujahid, A. D'Anjou
Metabolic efficiency with fast spiking in the squid axon
Front. Comput. Neurosci. 6:95. doi: 10.3389/fncom.2012.00095 [115]
5-Year Impact Factor: 2.147
R. Moreno , D. M. Ramik , M. Graña , and K. Madani
Image Segmentation on the Spherical Coordinate Representation of the RGB Color Space [116]
IET Image Processing 6(9):1275 - 1283
jCR (2010) 0.862 (2011) 0.639 (Q3 EEE) (2012) 0.895 (Q3 EEE)
A. Moujahid, A. D'Anjou, B. Cases
Community structure in real-world networks from a non-parametrical synchronization-based dynamical approach.
Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena
Volume 45, Issues 9–10, September–October 2012, Pages 1171–1179
JCR 5-Year Impact Factor: 1.41
A. Besga, M. Termenon, M. Graña, J. Echeveste, J. M. Perez, A. Gonzalez-Pinto
"Discovering Alzheimer's disease and bipolar disorder white matter effects building computer aided diagnostic systems on brain diffusion tensor imaging features" [117].
Neuroscience Letters, Volume 520, Issue 1, 27 June 2012, Pages 71–76.
JCR (2011) 2.105 (Q3 Neurosciences) (2012) 2.026 (Q3 Neurosciences)
Manuel Graña, Miguel A. Veganzones
"An Endmember-based distance for content based hyperspectral image retrieval."
Pattern Recognition 49(9), pp 3472-3489. September 2012. doi
JCR (2010) 2.607 (2011) 2.292 (Q1 CSAI, Q1 EEE) (2012) 2.632
Ion Marques, Manuel Graña
Face recognition with Lattice Independent Component Analysis and Extreme Learning Machines
Soft Computing, 2012,Volume 16, Issue 9, pp 1525-1537 DOI
JCR (2010) 1.512 (2011) 1.880 (Q2 CSAI, Q1 CSIA) (2012) 1.124 (Q3 CSAI, Q3 CSIA)
Israel Rebollo, Manuel Graña, Blanca Cases
On the effect of spatial percolation on the convergence of Graph Coloring Boid Swarm
Int. Journal on Artificial Intelligence Tools (2012) 21(6): 1250015 [118] [119]
JCR (2010) 0.330 (2011) 0.217 (2012) 0.250 (Q4 CSAI, Q4 CSIA)
Jbabdi S, Sotiropoulos SN, Savio AM, Graña M, Behrens TE
Model-based analysis of multi-shell diffusion MR data for tractography: How to get over fitting problems
Magnetic Resonance in Medicine (2012) 68(6):1846-1855 [120]
ISSN 0740-3194
JCR (2010): 3.268 (2011) 2.964 (2012) 3.267 (Q1 RNMMI)
Jose Manuel Lopez-Guede, Borja Fernandez-Gauna, Manuel Graña, Ekaitz Zulueta
Improving the control of single robot hose transport
Cybernetics and Systems: An International Journal, 2012, 43:4, 261-275
JCR (2010) 0.662 (2011) 1.182 (Q2 CSC)
Darya Chyzhyk, Manuel Graña, Alexandre Savio, Josu Maiora
Hybrid Dendritic Computing with Kernel-LICA applied to Alzheimer’s Disease detection in MRI. PDF
Neurocomputing, 2012, Volumen 75, issue 1, pp. 72-77
DOI
ISSN 0925-2312
ISI JCR (2006) 0.860, (2007) 0.865, (2008) 1.234 (2009) 1.440 (2010) 1.429
Emilio Corchado, Manuel Graña, Michal Wozniak
Neurocomputing January 2012, Volume 75, Issue 1, pp. 61-63
editorial New trends and applications on hybrid artificial intelligence systems [121]
JCR (2010) 1.429, : (2011) JCR 1.580 (Q2 CSAI)
Miguel A. Veganzones and Manuel Graña
"A spectral/spatial CBIR system for hyperspectral images."
IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing 5(2), pp 488-500. April 2012.
JCR (2010) 1.140 (2011) 1.489 (2012) 2.874 (Q2 GP, Q1 ISPT, Q1 RS)
Manuel Graña and Miguel A. Veganzones
"Endmember induction by Lattice Associative Memories and Multi-Objective Genetic Algorithms."
EURASIP Journal on Advances in Signal Processing 2012, nº. 1 (marzo 13, 2012): 64. pdf
JCR (2010) 1.012 (2011) 0.811 (2012) 0.807 (Q3 EEE)
Maite Termenon, Manuel Graña
A two stage sequential ensemble applied to the classification of Alzheimer's Disease based on MRI features [122]
Neural Processing Letters (2012) 35(1): 1-12
JCR (2010) 1.088 (2012) 1.240 (Q2 CSAI)
Ivan Macia, Manuel Graña; Celine Paloc,
Knowledge Management in Image-based Analysis of Blood Vessel Structures
Knowledge and Information Systems 30(2) (2012):457-491 [123]
JCR Impact factor (2009) 2.211 (2010) 2.000 (2011) 2.225


Andoni Beristain, Manuel Graña, Ana I. Gonzalez
A Pruning Algorithm for Stable Voronoi Skeletons
Journal of Mathematical Imaging and Vision (2012) 42:225–237
JCR (2009) 1.437 (2010) 1.244 (2011) 1.391 (Q2 CSAI, Q1 CSSE, Q1 MA) (2012) 1.767
Z. Echegoyen, J.M. Lopez-Guede, B. Fernandez-Gauna and M. Graña
Visual Servoing of Legged Robots
Journal of Mathematical Imaging and Vision 42(2) (2012): 196-211 doi
JCR (2009) 1.437 (2010) 1.244 : (2011) 1.391 (Q2 CSAI, Q1 CSSE, Q1 MA) (2012) 1.767
Peter Sussner, Estevão L.Esmi, Ivan Villaverde, Manuel Graña
The Kosko Subsethood FAM: Mathematical Background, Properties, and Some Experimental Results in Computer Vision
Journal of Mathematical Imaging and Vision (2012) 42:134–149
JCR (2009) 1.437 (2010) 1.244 : (2011) 1.391 (Q2 CSAI, Q1 CSSE, Q1 MA) (2012) 1.767
Manuel Graña, Emilio Corchado, Michal Wozniak
Special Issue on Hybrid Artificial Intelligent Systems
Journal of Mathematical Imaging and Vision: Volume 42, Issue 2 (2012), Page 101-102 doi
JCR (2009) 1.437 (2010) 1.244 : (2011) 1.391 (Q2 CSAI, Q1 CSSE, Q1 MA) (2012) 1.767
Barroso, N., López de Ipiña, K., Hernández C., Ezeiza A. & Graña M. (2011).
Experiments for the selection of sub-word units in the Basque context for semantic tasks,
International Journal of Speech Technology, March 2012, Volume 15, Issue 1, pp 49-56
DOI 10.1007/s10772-011-9109-1
Barroso, N., López de Ipiña, K., Hernández C., Ezeiza A. & Graña M. (2011)
Semantic Speech Recognition in the Basque context Part I: Cross-lingual approaches,
International Journal of Speech Technology, March 2012, Volume 15, Issue 1, pp 33-40
DOI 10.1007/s10772-011-9111-7
Barroso, N., López de Ipiña, K., Hernández C., Ezeiza A. & Graña M. (2011).
Semantic Speech Recognition in the Basque context Part II: Language Identification for under-resourced languages,
International Journal of Speech Technology, March 2012, Volume 15, Issue 1, pp 41-47
DOI 10.1007/s10772-011-9114-4
Juan José Valera García Vicente Gómez Garay, Eloy Irigoyen Gordo, Fernando Artaza Fano, Mikel Larrea Sukia
Intelligent Multi-Objective Nonlinear Model Predictive Control (iMO-NMPC): Towards the ‘on-line’ optimization of highly complex control problems
Expert Systems with Applications, Volume 39, Issue 7, 1 June 2012, Pages 6527–6540
JCR (2010) 1.924
Carlos Toro, Eider Sanchez, Eduardo Carrasco, Leonardo Mancilla-Amaya, Cesar Sanín, Edward Szczerbicki, Manuel Graña, Patricia Bonachela, Carlos Parra, Gloria Bueno, Frank Guijarro
USING SET OF EXPERIENCE KNOWLEDGE STRUCTURE TO EXTEND A RULE SET OF CLINICAL DECISION SUPPORT SYSTEM FOR ALZHEIMER'S DISEASE DIAGNOSIS [124]
Cybernetics and Systems: An International Journal, 2012. Volume 43, Issue 2, pp 81-95 doi
JCR (2010) 0.662 (2011) 1.182 (Q2 CSC)

Carlos Toro, Javier Vaquero, Manuel Graña, Cesar Sanín, Edward Szczerbicki & Jorge Posada

BUILDING DOMAIN ONTOLOGIES FROM ENGINEERING STANDARDS [125]
Cybernetics and Systems 2012, 43(2)
114-126
JCR (2010) 0.662 (2011) 1.182 (Q2 CSC) (2012) 0.973


Blanca Cases, Israel Rebollo, Manuel Graña
A Spatial-social-logical model explaining human behavior in emergency situations
Logic Journal of the IGPL 20(3):625-633
Indice de impacto JCR(2009) 0.320 (2010) 0.458 (2011) 0.913 (2012) 1.136 (Q1 Logic, Q1 Mathematics, Q2 MA)
Josune Gallego, Carmen Hernandez, Manuel Graña
A Morphological Cellular Automata based on Morphological Independence
Logic Journal of the IGPL 20(3):617-624
Indice de impacto JCR(2009) 0.320 (2010) 0.458 (2011) 0.913 (2012) 1.136 (Q1 Logic, Q1 Mathematics, Q2 MA)
Manuel Graña, Emilio Corchado, Michal Wozniak
Special issue: HAIS 2010
Logic Journal of the IGPL 20(3):533-534
doi: 10.1093/jigpal/jzr001 [126]
Indice de impacto JCR(2009) 0.320 (2010) 0.458 (2011) 0.913 (2012) 1.136 (Q1 Logic, Q1 Mathematics, Q2 MA)


G. García, J. Maiora A. Tapia, M. De Blas
Evaluation of Texture for Classification of Abdominal Aortic Aneurysm After Endovascular Repair
Journal of Digital Imaging 25(3):369-376
(ISI JCR 0.96) (2011) 1.255 (Q3 RNMMI)
Manuel Graña, Ivan Villaverde, Jose Manuel Lopez-Guede, Borja Fernandez-Gauna
Lattice Independent Component Analysis for Appearance Based Mobile Robot Localization
Neural Computing and applications, 21(5) (2012): 1031-1042
Indice de impacto JCR (2009) 0.812 (2010) 0.563 (2011) 0.699 (Q3 CSAI) (2012) (Q3 CSAI) (2012) 1.168

2011

Josu Maiora, Manuel Graña
A computer aided diagnostic system for survival analysis after EVAR treatment
Journal of Medical Informatics & Technologies, (2011) 18:51-58
Ivan Macia; Manuel Graña; Josu Maiora; Celine Paloc; Mariano de Blas
Detection of Type II Endoleaks in Abdominal Aortic Aneurysms After Endovascular Repair
Computers in Biology and Medicine 41(10): 871-880 [127]
ISI Impact JCR (2009) 1.269 (2010) 1.112 (2011) 1.089 (Q3 B, Q3 CSIA, Q3 EB, Q4 MCB)
M. Graña, M. Termenon, A. Savio, A. Gonzalez-Pinto, J. Echeveste, J. M. Pérez, A. Besga
Computer Aided Diagnosis system for Alzheimer Disease using brain Diffusion Tensor Imaging features selected by Pearson’s correlation
Neuroscience letters,Volume 502, Issue 3, 20 September 2011, Pages 225-229 on line
Indice de impacto JCR (2010) 2.055 (2011) 2.105 (Q3 Neurosciences)
Manuel Graña, Borja Fernandez-Gauna, Jose Manuel Lopez-Guede
Cooperative Multi-Agent Reinforcement Learning for Multi-Component Robotic Systems: guidelines for future research
Paladyn . Journal of Behavioral Robotics. [128] 2(2):71-81 draft
A. Moujahid, A. d' Anjou, F. J. Torrealdea, and F. Torrealdea
Energy and information in Hodgkin-Huxley neurons
Phys. Rev. E 83, 031912 (2011)
Impact Factor: 2.400
A. Moujahid, A. d' Anjou, F. J. Torrealdea, and F. Torrealdea
Efficient synchronization of structurally adaptive coupled Hindmarsh-Rose neurons
Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, DOI:10.1016/j.chaos.2011.07.005 (2011)
Impact Factor: 1.72
Alexandre Savio; Maria T Garcia-Sebastian; Darya Chyzhyk; Carmen Hernandez; Manuel Graña; Andone Sistiaga; Adolfo Lopez de Munain; Jorge Villanua
Neurocognitive disorder detection based on Feature Vectors extracted from VBM analysis of structural MRI
Computers in Biology and Medicine 41 (2011), pp. 600-610 DOI
ISI Impact JCR (2009) 1.269 (2010) 1.112 (2011) 1.089 (Q3 B, Q3 CSIA, Q3 EB, Q4 MCB)
Borja Fernandez-Gauna, Jose Manuel Lopez Guede, Ekaitz Zulueta, Zelmar Echegoyen, Manuel Graña
Basic Results and Experiments on Robotic Multi-Agent System for Hose Deployment and Transportation
International Journal of Artificial Intelligence (IJAI) 6(S11):183-202 [129]
Ramón Moreno, Manuel Graña, Alicia d’Anjou
Illumination Source Chromaticity Estimation Based on Spherical Coordinates in RGB
Electronics letters, (2011) 47(1):28–30 DOI
An implementation can be found in Illumination Source Chromaticity Estimation (ISC)
ISI JCR (2009) 0.970
Manuel Graña, Darya Chyzhyk, Maite García-Sebastián, Carmen Hernández
Lattice Independent Component Analysis for functional Magnetic Resonance Imaging DRAFT
Information Sciences 181 (2011), pp. 1910-1928
Impact factor JCR (2008): 3.095 (2009) 3.291 (2010) 2.836 (2011) 2.833 (Q1 CSIS) (2012) 3.643 (Q1 CSIS)
DOI
Javier Vaquero, Carlos Toro, Manuel Graña
Preserving Virtual Engineering Knowledge thorough the Product Life Cycle
Cybernetics & Systems 42 (2): 124-138.
ISSN: 0196-9722 (Print), 1087-6553 (Online), Taylor and Francis publishers (2011)
ISI JCR (2009) 0.780 (2010) 0.662 (2011) 1.182 (Q2 CSC)
draft of the paper


Ivan Villaverde, Manuel Graña
Neuro-Evolutionary mobile robot egomotion estimation with a 3D ToF camera
Neural Computing and applications 20(3): 345-354, DOI
ISI JCR (2008) 0.767 (2009) 0.812 (2010) 0.563 (2011) 0.699 (Q3 CSAI)

2010

Miguel Angel Veganzones, Leonia Nunes, Domingos Lopes, Carmen Hernández and Manuel Graña
Implementation of an user-friendly interface of the Forest-BGC model for regional/global-scale researches
SILVA LUSITANA, Año XVIII, December 2010.
Instituto Nacional de Investigaçao Agraria (Eds.); Portugal.
ISSN 0870-6352.
Borja Fernandez-Gauna, Jose Manuel Lopez-Guede, Ekaitz Zulueta, Manuel Graña
Learning hose transport control with Q-learning
Neural Network World 20(7):913-923 [130]
ISI JCR 2009: 0.475 (2010) 0.511
Alexandre Savio, Juliette Charpentier, Maite Termenón, Ann K. Shinn, Manuel Graña
Neural classifiers for schizophrenia diagnostic support on diffusion imaging data
Neural Network World 20(7):935-949 [131]
ISI JCR 2009: 0.475 (2010) 0.511 (2011) 0.646 (Q4 CSAI)
E. Irigoyen, M. Larrea, J. Valera, V. Gómez, F. Artaza
A Neuro‐Genetic Control Scheme application for industrial R^3 workspaces
Neural Network World 20(7):811-824 [132]
ISI JCR 2009: 0.475 (2010) 0.511
Maiora, J., Garcia, G., Tapia, A., Macia, I., Legarreta, J.H., Paloc, C., De Blas, M. & Grana, M.
Thrombus Change Detection After Endovascular Abdominal Aortic Aneurysm Repair
International Journal of Computer Assisted Radiology and Surgery
Springer-Verlag, 2010, Vol. 5 (Suppl 1), pp. S15
IF JCR (2011) 1.481
Iñigo Barandiaran, Celine Paloc, Manuel Graña
Real-time Optical Markerless Tracking for Augmented Reality Applications
J Real-Time Image Processing 5(2):129-138 [133], doi [134]
Impact factor JCR (2010): 0.962 (2011) 1.020 (Q3 CSAI, Q3 EEE, Q2 ISPT)
Z. Echegoyen, I. Villaverde, R. Moreno, M. Graña, A. d’Anjou
Linked Multi-Component Mobile Robots: modeling, simulation and control
Robotics and Autonomous Systems 58(12) : 1292-1305
Impact Factor (2008): 1.214 (2009) 1.361 (2010) 1.313
DOI [135]
Ramón Moreno, Manuel Graña, Ekaitz Zulueta
An RGB Color Gradient following Color Constancy Preservation
Electronics Letters 46(13): 908--910
ISI JCR (2009) 0.970 (2010) 1.001
Richard J Duro; Manuel Graña Romay; Javier de Lope Asiain,
On the Potential Contributions of Hybrid Intelligent Approaches to Multicomponent Robotic System Development draft
Information Sciences 180 (14):2635-2648
DOI [136]
Impact factor JCR (2008): 3.095 (2009) 3.291 (2010) 2.833
Andoni Beristain, Manuel Graña
A pruning algorithm for Voronoi Skeletons
Electronics Letters 46(1):39-41
ISI JCR (2008) 1.140 (2009) 0.970 (2010) 1.001
Manuel Graña, Alexandre M. Savio, Maite García-Sebastián, Elsa Fernández.
A Lattice Computing approach for On-line fMRI analysis,
Image and Vision Computing 28(7):1155-1161, July 2010,
DOI http://dx.doi.org/10.1016/j.imavis.2009.10.004
ISI JCR (2008) 1.496 (2009) 1.474 (2010) 1.525

2009

Francisco J. Torrealdea, Cecilia Sarasola, Alicia d’Anjou, Abdelmalik Moujahid, N. Vélez de Mendizábal
Energy efficiency of information transmission by electrically coupled neurons
Biosystems, Volume 97, Issue 1, July 2009, Pages 60-71
Impact factor: 1.646
Francisco J. Torrealdea, Cecilia Sarasola, Alicia d’Anjou
Energy consumption and information transmission in model neurons
Chaos, Solitons & Fractals, Volume 40, Issue 1, 15 April 2009, Pages 60-68
Impact factor: 3.025 (2009) 3.315
Maite García-Sebastián, Ana Isabel González, Manuel Graña
An Adaptive Field Rule for Non-parametric MRI Intensity Inhomogeneity Estimation Algorithm [137]
Neurocomputing 72 (2009) 3556–3569
DOI: doi:10.1016/j.neucom.2008.12.034
ISI JCR (2006) 0.860, (2007) 0.865, (2008) 1.234 (2009) 1.440
JCR (2008) 1.234
Abdelmalik Moujahid, Blanca Cases, F.J. Olasagasti
Consensus dynamics in a dolphin social network
CEUR Workshop Proceedings, vol-442,2 (ISSN 1613-0073)
Blanca Cases, F.Javier Olasagasti, Abdelmalik Moujahid, Alicia D'Anjou
Swarm Intelligence: una aplicación a la toma de decisiones colectivas
CEUR Workshop Proceedings, vol-442,6 (ISSN 1613-0073)
Andoni Beristain, Manuel Graña.
Emotion Recognition Based on the Analysis of Facial Expressions.
New Mathematics and Natural Computation (NMNC), 5(2) pp.513-534 (world scientific press [138])
Manuel Graña, Ivan Villaverde, José Orlando Maldonado, Carmen Hernandez
Two Lattice Computing approaches for the unsupervised segmentation of Hyperspectral Images
Neurocomputing, 72(2009):2111–2120
ISI JCR (2006) 0.860, (2007) 0.865, (2008) 1.234 (2009) 1.440
DOI 10.1016/j.neucom.2008.06.026
Manuel Graña
Special issue on the Lattice Computing and Natural Computing track from JCIS 2007
Neurocomputing 72:2065–2066
ISI JCR (2006) 0.860, (2007) 0.865, (2008) 1.234 (2009) 1.440
DOI http://dx.doi.org/10.1016/j.neucom.2008.11.021
Maite García-Sebastián, Carmen Hernandez, Alicia d'Anjou
Robustness of an Adaptive MRI Segmentation Algorithm Parametric Intensity Inhomogeneity Modeling [139]
Neurocomputing 72 (2009) 2146-2152. BibTeX
ISI JCR (2006) 0.860, (2007) 0.865, (2008) 1.234 (2009) 1.440
DOI 10.1016/j.neucom.2008.07.014

2008

Pablo González-Nalda and Blanca Cases
Topos: Spiking neural networks for temporal pattern recognition in complex real sounds
Neurocomputing, (2008) 71(4-6) :721-732
JCR 2008 1.234 JCR 2009 1.440
Ivan Villaverde, Zelmar Echegoyen, Manuel Graña
Neuro-Evolutive system for ego-motion estimation with a 3D camera
Australian Journal of Intelligent Information Systems, 10(1):59-70
ISSN 1321-2133
Israel Rebollo, Manuel Graña
Aplicaciones de RFID
Novatica,195:42-46, sept. 2008,
Jose Orlando Maldonado, Manuel Graña
Recycled paper visual indexing for quality control
Expert Systems with Applications, 45(4) pp 8807–8815
ISI JCR 2007 1.177- 2008 2.596 (Q1 CSAI, Q1 EEE, Q1 ORMS)
http://dx.doi.org/10.1016/j.eswa.2008.11.023
Sanin, C., Toro, C., Vaquero, J., Szczerbicki, E. Posada, J.
Implementing Decisional DNA in Industrial Maintenance by a knowledge SOUPA Extension
Systems Science, Vol. 33 No. 2:61-68
ISSN: 0137-1223, Wroclaw, Poland 2008.
Toro, C ,Sanin, C. / Szczerbicki, E. / Posada, J.
Reflexive Ontologies: Enhancing Ontologies with self-contained queries
Cybernetics and Systems: An International Journal, 39: 1–19
ISSN: 0196-9722 print, 1087-6553 online, USA 2008.
ISI JCR 2006 0.964
Eloy Irigoyen, Miguel Pinzolas
Numerical bounds to assure initial local stability of NARX multilayer perceptrons and radial basis functions
Neurocomputing, 72; 539-547
ISSN: 0925-2312
ISI JCR 2008 1.745
http://dx.doi.org/10.1016/j.neucom.2007.11.018

2007

Maite Garcia-Sebastián, Elsa Fernandez, M. Graña, Francisco J. Torrealdea
A parametric gradient descent MRI intensity inhomogeneity correction algorithm (pdf [140])
Pattern Recognition Letters 28(13):1657-1666
Indicadores de calidad (Índice de Impacto o similares): JCR (2001, 2005, 2006, 2007) 0.552, 1.138 0.952 0.853
Ivan Villaverde, Alicia d'Anjou, M. Graña
Morphological Neural Networks and Vision Based Simultaneous Localization and Mapping
Integrated Computer-Aided Engineering 14(4):355-363
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 0.444, JCR 2006 0.236, JCR 2007 0.113, JCR 2008 0.617
Toro, C. / Posada, J / Oyarzun, J / Falcón, J
Supporting the CAD Structural Design Process with knowledge based tools,
Journal of Cybernetics and systems,
ISBN 1087-6553 (electronic) 0196-9722 (paper), Taylor and Francis publishers, 2007.
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 0.681, JCR 2006 0.964, JCR 2007 0.655
Sanin, C. / Szczerbicki, E. / Toro, C.
An OWL Ontology of Set of Experience Knowledge Structure
Journal of Universal Computer Science , Volume 13, number 2, pages 209-223, 2007
EKAITZ ZULUETA GUERRERO; PEDRO MARIA IRIONDO BENGOA; JOSE MANUEL LOPEZ GUEDE; Ander Etxeberria
Entropy Analysis for Stochastic System Control
INTERNATIONAL JOURNAL OF FACTORY AUTOMATION, ROBOTICS AND SOFT COMPUTING 2(2): 88-92

2006

F.J. Torrealdea, A. d'Anjou, Manuel Graña, C. Sarasola
Energy aspects of the synchronization of model neurons
Physical Review E 74:011905
Indicadores de calidad (Índice de Impacto o similares): JCR 2006 2.438
Toro, C. Posada, J Wundrak, S Stork, A
Improving Virtual Reality Applications in CAD through Semantics,
The International Journal of Virtual Reality, 2006, volume 5, Number 4, pages 39-46
Posada, J. / Wundrak, S. / Toro, C. / Stork, A.
Using Ontologies and STEP standards for the semantic simplification of CAD models in different engineering domains
Journal of Applied Ontology, Volume 1, Number 3-4/2006, pp. 263-279

2005

Gurutze Arzamendi, Alicia d'Anjou, Manuel Graña, José R. Leiza, José M. Asua
Model reduction in emulsion polymerization using hybrid first principles/artificial neural networks models 2a Long Chain Branching Kinetics
Macromolecular Theory and Simulations 14:125-132
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 1.544
C. Sarasola, A. d'Anjou, F.J. Torrealdea, Manuel Graña
Minimization of the energy flow in the synchronization of nonindentical chaotic systems
Physical Review E 72:026223
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 2.418
C. Sarasola, , A. d'Anjou, F. J. Torrealdea and A. Moujahid
Energy-like functions for some dissipative chaotic systems.
Int. J. Bifurcation and Chaos 15(8), 2507-2521
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 0.845
A. d'Anjou, C. Sarasola, , F. J. Torrealdea.
On the characterization of different synchronization stages by energy considerations.
Journal of Physics: Conference Series, 23, 238–251
Blanca Cases and Manuel Alfonseca
Towards a proof of the decidability of the momentary stagnation of the growth function of D0L systems
Theoretical Computer Science, Volume 341, Issues 1-3, 5 September 2005, Pages 247-262
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 0.743
Posada, J. / Wundrak, S. / Toro, C. / Stork, A.
Using Ontologies and STEP standards for the semantic simplification of CAD models in different engineering domains
Journal of Applied Ontology, Volume 1, Number 3-4/2006, pp. 263-279

2004

M. Graña, J. Gallego, C. Hernandez
A Single Individual Evolutionary Strategy for Endmember Search in Hyperspectral Images.
Information Sciences, Int. J 161(3-4):181-197
Indicadores de calidad (Índice de Impacto o similares): JCR (2001,2003, 2005) 0.264, 0.447, 0.723
B. Raducanu, Manuel Graña, F.X. Albizuri, A. d'Anjou
A Probabilistic Hit-and-Miss Tranform for Face Localization
Pattern Análisis and Applications 7:117-127
Indicadores de calidad (Índice de Impacto o similares): JCR 2004 0.803
Elsa Fernandez, Manuel Graña, Jesús Ruiz-Cabello
On a Gradient Based Evolution Strategy For Parametric Illumination Correction
Electronics Letters 40(9):531-532
Indicadores de calidad (Índice de Impacto o similares): JCR 2004 0.968
Cecilia Sarasola, Francisco J. Torrealdea, Alicia d'Anjou, A. Moujahid, Manuel Graña
Energy balance in feedback synchronization of chaotic systems
Physical review E 69-011606
Indicadores de calidad (Índice de Impacto o similares): JCR 2004 2.352

2003

F. Xabier Albizuri, Manuel Graña, Bogdan Raducanu
Statistical transmission delay guarantee for nonreal-time traffic multiplexed with real-time traffic
Computer Communications 26 (2003) 1365–1375
Indicadores de calidad, JCR (2005) 0.556 (2009) 0.933
M. Graña, P. Sussner, G.X. Ritter
Innovative Applications of Associative Morphological Memories
Mathware & Soft Computing 10(3):155-168
journal web page
A. d'Anjou, F. J. Torrealdea, J.R. Leiza, J.M. Asua, G. Arzamendi
Model reduction in emulsion polymerization using Hybrid First-Principles/Artificial Neural Networks models
Macromolecular Theory and Simulation 12:42-56
indicadores de calidad, JCR (2005) 1.544 (2006) 1.073 (2007) 1.792 (2008) 1.912 (2009) 1.683
C. Sarasola, F.J. Torrealdea, A. d'Anjou, A. Moujahid and M. Graña
Feedback synchronization of chaotic systems
Int. J. Bifurcation and Chaos 13(1):177-191
Indicadores de calidad (Índice de Impacto o similares): JCR 2003 1.014
B. Raducanu, M. Graña, F.X. Albizuri
Morphological Scale Spaces and Associative Morphological Memories: Results on Robustness and Practical Applications
Journal of Mathematical Imaging and Vision 9(2):113-131
Indicadores de calidad (Índice de Impacto o similares): JCR (2003, 2005) 0.617,2.197
C. Sarasola, F.J. Torrealdea, A. d’Anjou, A. Moujahid, M. Graña,
Nonzero error synchronization of chaotic systems via dynamic coupling
Physica D 177(1-4):39-49
Indicadores de calidad (Índice de Impacto o similares): JCR 2002,2003:1.144,1.014
R. Perez de Alejo, J. Ruiz-Cabello, M. Cortijo, I. Rodriguez, I. Echave, J. Regadera, J. Arrazola, P. Avilés, P. Barreiro, D. Gargallo, M. Graña
Computer- Assisted Enhanced Volumetric Segmentation Magnetic Resonance Imaging Data Using a Mixture of Artificial Neural Networks
Magnetic Resonance Imaging 21:901-912
Indicadores de calidad (Índice de Impacto o similares): JCR 2003 1.420
JOSE MARIA GONZALEZ DE DURANA GARCIA; TEODORO RICO PASTRANA; EKAITZ ZULUETA GUERRERO
HYBRID MODELING OF OPEN LOOP DC-DC CONVERTERS.
FACING 11(2): 41--47

2002

C. Sarasola, F.J. Torrealdea, A. d'Anjou, M. Graña
Cost of synchronizing different chaotic systems
Mathematics and Computers in Simulation 58:309-327
Indicadores de calidad (Índice de Impacto o similares): JCR (2001,2005): 0.253,0.554
Jesús Ruiz-Cabello, Javier Regadera, Carmen Santisteban, Manuel Graña, Rigoberto Pérez de Alejo, Imanol Echave, Pablo Avilés, Ignacio Rodriguez, Inmaculada Santos, Domingo Gargallo, Manuel Cortijo
Monitoring actute inflammatory processes in the mouse muscle by MR imaging and spectroscopy: a comparision with pathological results
NMR in Biomedicine 15:204-214
Indicadores de calidad (Índice de Impacto o similares): JCR (2002,2005) 2.160, 2.469

2001

B. Raducanu, M. Graña, F.X. Albizuri, A. D'Anjou
Face localization based on the morphological multiscale fingerprints
Pattern Recognition Letters 22:359-371
Indicadores de calidad (Índice de Impacto o similares): JCR (2001, 2005) 0.552, 1.138
A.I. Gonzalez, M. Graña, J. Ruiz-Cabello, A. d'Anjou
Experimental results of an Evolution-based Adaptation Strategy for VQ Image Filtering pdf
Information Sciences, Int. J. 133 (3-4):249-266
Indicadores de calidad (Índice de Impacto o similares): JCR (2001,2003, 2005) 0.264, 0.447, 0.723
M.C. Hernandez, F.X Albizuri, A. d'Anjou, M. Graña, F.J. Torrealdea
Efficient solution of MAX-SAT and SAT via higher order Boltzmann Machines
Investigacion Operacional 22(1):67-78
Indicadores de calidad (Índice de Impacto o similares):
Editorial y Lugar de publicación: Dept. Matematica Aplicada, Fac. Matematica y Computación, Universidad de la Habana
Israel Rebollo, Manuel Graña y Carmen Hernández
APLICACION DE ALGORITMOS ESTOCASTICOS DE OPTIMIZACION AL PROBLEMA DE LA DISPOSICION DE OBJETOS NO-CONVEXOS. [[141]]
Investigacion Operacional 22(2):184-192
Indicadores de calidad (Índice de Impacto o similares):
Editorial y Lugar de publicación: Dept. Matematica Aplicada, Fac. Matematica y Computación, Universidad de la Habana
A. d'Anjou,C. Sarasola, F.J. Torrealdea, R. Orduna, M. Graña
Parameter adaptive identical synchronization disclosing Lorenz chaotic mask
Physical Review E E63-046213
Indicadores de calidad (Índice de Impacto o similares): JCR Science Edition Impact Factor 2.202, (JCR 2002 2.397)
S. O. Anchorena, B. Cases
Modeling Chaotic Series by Simple Eco-Grammar Systems with Reproduction, Death and Maturation of Agents.
Grammars, vol. 6 num. 3, pp. 155-168 (2003)
EE: http://www.springerlink.com/content/n68251124147700r/

2000

A.I. Gonzalez, M. Graña, F.X. Albizuri, A. D'Anjou, F.J. Torrealdea
A Near Real-Time Evolution-based Adaptation Strategy for Dynamic Color Quantization of Image Sequences pdf
Information Sciences, Int. J. 122:161-183
Indicadores de calidad (Índice de Impacto o similares): JCR (2003, 2005) 0.447, 0.723
J. Ruiz Cabello, I Rodriguez, P. Avilés, M. Graña, I. Echave, J. Regadera, D. Gargallo, M. Cortijo
Magnetic resonance imaging to monitor the biology of inflammation
European Biophysics Journal 29(4-5):363
Indicadores de calidad (Índice de Impacto o similares): JCR (2001,2005) 1.917,1.811
ISSN: 0175-7571
I Rodriguez, M. Graña, I. Echave, P. Barreiro, M. Cortijo, J. Ruiz Cabello
MR image processing using neural networks and vector quantization
Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA) 11 (supl. 1):143
Indicadores de calidad (Índice de Impacto o similares): JCR 2003 1.836
F.X. Albizuri, A.I. Gonzalez, M. Graña, A. D'Anjou
Neural learning for distributions on categorical datapdf
Neurocomputing 34:1-9
Indicadores de calidad (Índice de Impacto o similares): JCR (2001, 2005) 0.534, 0.790

1999

J.A. Lozano, P. Larrañaga, M. Graña, F.X. ALbizuri
Genetic Algorithms: bridging the convergence gap
Theoretical Computer Science 229:11-22
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 0.743
A.I. Gonzalez, M. Graña, M. Cottrell
Basic competitive neural networks as adaptive mechanisms for non-stationary color quantization pdf
Neural Computing and Applications 8: 347-367
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 0.403

1998

A. I. Gonzalez, M. Graña
Una estrategia evolutiva para clustering no estacionario
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2(5): 68-73
A. I. Gonzalez, M. Graña, A. D'Anjou, F.X. Albizuri, F.J Torrealdea
A comparison of experimental results with a Evolution Strategy and Competitive Neural Networks for near real-time Color Quantization of image sequences pdf
Applied Intelligence 8 (1): 43-51
Indicadores de calidad (Índice de Impacto o similares): JCR Science Edition Impact Factor 0.9

1997

M. Graña, A. D´Anjou, F.J. Torrealdea
User expectations for the intelligent blackboard pdf
Displays 17 (3-4): 143-146
Indicadores de calidad (Índice de Impacto o similares): JCR Science Edition Impact Factor: 0.947, JCR 2007 1.179
A. I. Gonzalez, M. Graña, A. D´Anjou, F.X. Albizuri, M. Cottrell
A sensitivity analysis of the Self Organizing Map as an Adaptive One-pass Non-stationary Clustering algorithm: the case of Color Quantization of image sequences pdf
Neural Processing Letters 6: 77-89
Indicadores de calidad (Índice de Impacto o similares): JCR Science Edition Impact Factor 0.701
F.X. Albizuri, A. D'Anjou, M. Graña, P. Larrañaga
Structure of the high-order Boltzmann Machine from Independence Maps
IEEE trans. Neural Networks 8 (6): 1351-1358
Indicadores de calidad (Índice de Impacto o similares): JCR Science Edition Impact Factor 2.205
M. Graña, A. D'Anjou , F.X. Albizuri, M. Hernandez, F. J. Torrealdea, A.I. Gonzalez
Experiments of fast learning with High Order Boltzmann Machines pdf
Applied Intelligence 7 (4): 287-303
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 Science Edition Impact Factor 0.569

1996

F.X. Albizuri, A. D'Anjou , M. Graña,J.A. Lozano
Convergence properties of High-Order Boltzmann Machines
Neural Networks 9(9): 1561-1567
Indicadores de calidad (Índice de Impacto o similares): JCR Science Edition Impact Factor 1.665
M. Graña, A. D'Anjou , F.X. Albizuri, J.A. Lozano, P. Larrañaga, Y. Yurramendi, M. Hernandez, J.L. Jimenez, F. J. Torrealdea, M. Poza, A.I. Gonzalez
Experimentos de aprendizaje con Máquinas de Boltzmann de alto orden draft
Informática y Automática 29(4): 42-57

1995

A. I. González , M. Graña - A. D'Anjou
An analysis of the GLVQ algorithm pdf
IEEE Transactions on Neural Netwoks 6 (4): 1012-1016
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 Science Edition Impact Factor 2.205
F. X. Albizuri - A. D'Anjou - M. Graña - F. J. Torrealdea - M. C. Hernández
The high order Boltzmann machine: learned distribution and topology
IEEE Transactions. on Neural Networks 6 (3): 767-770
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 Science Edition Impact Factor 2.205
M. Graña - A. D'Anjou - A. I. González - F. X. Albizuri - M. Cottrell
Competitive stochastic neural networks for vector quantization of images pdf
Neurocomputing 7: 187-195
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 Science Edition Impact Factor 0.790

1993

Alicia D'Anjou - Manuel Graña - Fco. Javier Torrealdea - Mª Carmen Hernández
Solving satisfiability via Boltzmann machines pdf
IEEE Transactions on pattern analysis and machine intelligence, 15:514-521
Indicadores de calidad (Índice de Impacto o similares): JCR 2005 2.923

1992

Alicia D'Anjou - Manuel Graña - Fco. Javier Torrealdea - Mª Carmen Hernández
Máquinas de Boltzmann para la resolución del problema de la satisfacibilidad en el cálculo proposicional
Revista Española de Informática y Automática 24: 40-49

1987

Luis M. Alonso - Manuel Graña
Formal techniques and concurrent systems
Communications ACM 30: 752-753

Indicadores de calidad (Índice de Impacto o similares): ISI JCR (2008) 2.646

1986

Manuel Graña - Fco. Javier Torrealdea
Hierarchically structured Systems scan scan compressed
European Journal of Operational Research 25:20-26

Indicadores de calidad ISI JCR: (2008) 1.627,

Fco. Javier Torrealdea - Manuel Graña - Fernando Ferreres
A comparison between stochastic and deterministic simulation
Advances in Modelling and Simulation (AMSE press) 5:15-32
Indicadores de calidad (Índice de Impacto o similares):
T. Alvarez - J. J. Dolado - M. Graña - I. Sukia - F. J. Torrealdea
Una versión de GPSS
Revista Española de Informática y Automática 19:45-59
Indicadores de calidad (Índice de Impacto o similares):

1984

Fco. Javier Torrealdea - Manuel Graña
Some ideas for a history dynamics model.
Dynamica 10: 103-106 [142]
Originalmente editada por el Bradford System Dynamics group fue posteriormente asumida por la System Dynamics Society y convertida en la actual The International Journal of System Dynamics, manteniendo los fondos bibliograficos asociados a Dynamica.
la publicación en la conferencia de System Dynamics que dió lugar al artículo