Usuario:Borja.ayerdi

De Grupo de Inteligencia Computacional (GIC)
Borja Ayerdi photo

Borja Ayerdi Vilches

Imagine the future, change the present

Personal Data

  • E-mail: borja.ayerdi@ehu.es
  • Address:
Computational Intelligence Group
Computer Science Faculty - Lab. 307
University Of The Basque Country (UPV/EHU)
Paseo Manuel Lardizabal 1 - CP: 20018 Donostia/San Sebastián (GUIPUZCOA) - Spain
  • Tfno.: (+34) 943.01.80.47

Studies

PhD Student in the Computational Intelligence Group of the Computer Science and Artificial Intelligence Department - Universidad del País Vasco (UPV/EHU).


Research Areas

  • Medical Image segmentation and registration.
  • Machine Learning application to medical image processing.
  • Extreme Learning Machines.
  • Hyperspectral imaging.
  • Social Networks.
  • Big data.
  • Active learning.
  • Hybrid classification ensembles.


Working experience

Project: EVARTRAC CIRUGÍA GUIADA POR IMAGEN: APLICACIÓN A LA REPARACIÓN ENDOVASCULAR DE ANEURISMAS DE AORTA.


Teaching

  • Computer Vision (UPV/EHU 2014/2015)
  • Machine Learning and Neural Networks (UPV/EHU 2013/2014)

Courses

  • Vitoria-Gasteiz 2009 - (Intensive Programme) Network Security and 4n6


Intership


Research projects participation

  • Proyecto: Aprendizaje cooperativo inter e intragrupal en el submodulo de escructura y arquitectura de computadores.
    • Entidad adjudicataria: UPV/EHU, Proyecto de Innovación Educativa 6719.
    • Investigador principal: Jose Manuel Lopez Guede.
    • Fechas: 2014 – 2015.


  • Proyecto: Técnicas de inteligencia computacional en el proceso de imagen hiperespectral y aplicaciones.
    • Entidad adjudicataria: Ministerio de Ciencia e Innovación del Gobierno Español, TIN2011-28753-C02-02.
    • Investigador principal: Prof. Alicia d'Anjou.
    • Fechas: 2011 – 2013.


Publications

Submitted without decision

  • Borja Ayerdi, Manuel Grana
"Adaptive Hybrid Extreme Rotation Forest"
Neural Processing Letters


  • Borja Ayerdi, Bartosz Krawczyk, Manuel Grana and Michal Wozniak
"Combining One-Class Classifiers for Hyperspectral Image Segmentation"
Fundamenta Informaticae


  • 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"


2015


  • Borja Ayerdi, Oier Echaniz, Alexandre Savio, Manuel Graña
“Automated segmentation of subcutaneous and visceral adipose tissues from MRI”
InMed 2015


  • Borja Ayerdi, Manuel Graña
"Random Forest Active Learning for Detecting Blood Vessels in Angiography"
CORES 2015"


  • 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 Alzheimer Research
JCR 2013 - 3.796 (Q1 Clin Neurol, T1 Neurosciences)


  • Borja Ayerdi, Manuel Graña
"Hyperspectral Image Nonlinear Unmixing and Reconstruction by ELM Regression Ensemble"
Neurocomputing
JCR 2013 - 2.005 (Q1 CSAI) / [5-Year Impact Factor: 2.102]


2014

  • Borja Ayerdi, Manuel Graña
"Hyperspectral Image Nonlinear Unmixing by Ensemble ELM Regression"
Jiuwen Cao et al. (Eds.): Proceedings of ELM-2014 Volume 2, Proceedings in Adaptation, Learning and Optimization1, pp. 289-297. Springer.


  • Borja Ayerdi, Ion Marqués and Manuel Grana
"Spatially regularized semisupervised Ensembles of Extreme Learning Machines for hyperspectral image segmentation"
Neurocomputing
JCR 2013 - 2.005 (Q1 CSAI) / [5-Year Impact Factor: 2.102]


  • Borja Ayerdi, Manuel Grana
"Hybrid Extreme Rotation Forest"
Neural Networks
JCR 2013 - 2.076 (Q1 CSAI) / [5-Year Impact Factor: 2.516]


  • Pawel Ksieniewicz, Dariusz Jankowski, Borja Ayerdi, Konrad Jackowski, Michal Wozniak and Manuel Graña
"A Novel Hyperspectral Segmentation Algorithm - Concept and Evaluation"
Logic Journal of the IGPL
JCR 2012 - 1.136 (Q1 MATHEMATICS, Q1 APPLIED MATHEMATICS, Q1 LOGIC) / [5-Year Impact Factor: 0.79]


2013

  • Borja Ayerdi, Ion Marqués and Manuel Grana
"Spectral-spatial semi-supervised hyperspectral image segmentation using Ensembles of Extreme Learning Machines"
ELM 2013, Beijing, October 15-17, 2013.


  • J. Maiora , G. García , B. Ayerdi , M. Graña , M. De Blas
"Active Learning enhanced with Expert Knowledge for Computed Tomography Image Segmentation"
InMed 2013, Greece, 17-19 July, 2013.


  • Borja Ayerdi, Josu Maiora, Manuel Graña
"Aplications of Hybrid Extreme Rotation Forests for Image Segmentation"
Journal of Hybrid Intelligent Systems


  • Borja Ayerdi, Josu Maiora, Manuel Graña
"Enhancing Active Learning Computed Tomography Image Segmentation with Domain Knowledge"
HAIS 2013, Salamanca, 11-13 September, 2013.


  • Borja Ayerdi, Alexandre Savio, Manuel Graña
"Meta-ensembles of classifiers for Alzheimer's disease detection using independent ROI features"
J.M. Ferrandez et al. (Eds.): IWINAC 2013, Part II, LNCS 7931, pp. 122--130. Springer, Heidelberg (2013)


  • Borja Ayerdi, Manuel Graña
"On Spatial Regularization for Semisupervised Hyperspectral Image Segmentation Using Hybrid Extreme Rotation Forest"
WHISPERS 2013, Gainesville, USA, 25-28 June, 2013.


  • Darya Chyzhyk, Borja Ayerdi, Josu Maiora
"Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation"
Pattern Recognition Letters
JCR 2013 - 1.062 (T1, Q2 CSAI) / [5-Year Impact Factor: 1.466]


  • Josu Maiora, Borja Ayerdi, Manuel Graña
"Random Forest Active Learning for Computed Tomography Angiography Image Segmentation"
Neurocomputing
JCR 2013 - 2.005 (Q1 CSAI) / [5-Year Impact Factor: 2.102]


2012

  • Borja Ayerdi Vilches, Manuel Graña
"Hybrid Extreme Rotation Forest".
ELM 2012, Singapore, 11-13 December, 2012.


  • Borja Ayerdi, Josu Maiora, Manuel Graña
"Active learning of Hybrid Extreme Rotation Forests for CTA image segmentation".
Hybrid Intelligent Systems (HIS), 2012 12th International Conference on (pp. 543-548). IEEE.


2010

  • Ekaitz Zulueta Guerrero, Naiara Telleria Garay, Jose Manuel Lopez-Guede, Borja Ayerdi Vilches, Eider Egilegor Iragorri, David Lecumberri Castaños, Ana Belén de la Hoz Rastrollo and Carlos Pertusa Peña
"Prediction of Bladder Cancer Recurrences Using Artificial Neural Networks"
Lecture Notes in Computer Science, 2010, Volume 6076, Hybrid Artificial Intelligence Systems, Pages 492-499.

Conferences

  • PyData 2014, Berlin ,25-27 July 2014.
  • Europython 2014, Berlin ,21-27 July 2014.
  • ELM 2013, Beijing, October 15-17, 2013.
  • HAIS 2013, Salamanca, 11-13 September, 2013.
  • WHISPERS 2013, Gainesville, USA, 25-28 June, 2013.
  • IWINAC 2013, Mallorca, 10-14 June, 2013.
  • FIA 2013, Dublin, 8-10 May, 2013.
  • ELM 2012, Singapore, 11-13 December 2012.
  • HIS 2012, Pune (India), 04-07 December 2012.

Reviewer

  • KES 2012
  • Pattern Recognition Letters
  • Neurocomputing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
  • Pattern Analysis and Applications
  • InMed 2014

Organizer

  • Local organizing committee member of Europython 2015 (Europython 2015)
  • Local organizing committee member of Python San Sebastian 2014 (Pyss14)
  • Local organizing committee member of the KES International Conference on Innovation in Medicine and Healthcare - (INMED 2014) 7, 8 & 9 July 2014, San Sebastian, Spain.
  • Local organizing committee member of the 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems – (KES 2012) 10, 11 & 12 September 2012, San Sebastian, Spain.

Awards

  • Alexandre Savio, Borja Ayerdi y Manuel Graña: XIII Premio Manuel Laborde Werlinden, 2013 [1][2][3][4][5]
  • Alexandre Savio, Borja Ayerdi y Manuel Graña: XXIV Premio Toribio Echevarria, 2014 [6][7] [8]

Semana de la ciencia

  • XI Semana de la Ciencia 2011 (Diario Vasco)
  • XII Semana de la Ciencia 2012


Software


Datasets

General Datasets


Hyperspectral Datasets


Medical Datasets


Target journals


Utilities

Tutorials

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