Diferencia entre revisiones de «Usuario:Borja.ayerdi»
De Grupo de Inteligencia Computacional (GIC)
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* [http://roundhere.net/journal/virtualenv-ubuntu-12-10/ Virtual enviroment (Ubuntu)] | * [http://roundhere.net/journal/virtualenv-ubuntu-12-10/ Virtual enviroment (Ubuntu)] | ||
* [http://gitlab.braincloudcomputing.com/ Gitlab] | * [http://gitlab.braincloudcomputing.com/ Gitlab] | ||
* [http://sebastianraschka.com/Articles/2014_matrix_cheatsheet.html Matrix Cheat Sheet MATLAB, Python NumPy, R, and Julia] | |||
== Target journals == | == Target journals == |
Revisión del 14:44 8 jun 2014
Borja Ayerdi Vilches
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
- Technical Engineering in Information Management (2006/2009) - Universidad del País Vasco (UPV/EHU).
- Computer Science Engineer (2009/2011) - Universidad del País Vasco (UPV/EHU).
- Masters Degree in Computational Engineering and Intelligent Systems (2011/2012) - Universidad del País Vasco (UPV/EHU).
- Currently:
- 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
- January 2012 - ongoing: Beca predoctoral / Predoctoral fellowship granted by Gobierno Vasco / Basque Government.
- September 2011 - December 2011: Personal Investigador Contratado / Hired researcher at Universidad del País Vasco (UPV/EHU), Computational Intelligence Group.
- Project: EVARTRAC CIRUGÍA GUIADA POR IMAGEN: APLICACIÓN A LA REPARACIÓN ENDOVASCULAR DE ANEURISMAS DE AORTA.
Teaching
- Machine Learning and Neural Networks (UPV/EHU 2014)
Courses
- Vitoria-Gasteiz 2009 - (Intensive Programme) Network Security and 4n6
Intership
- 2013 - Machine Learning Group, Wrocław University of Technology, Poland with Prof. Michal Wozniak
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
- 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
- Borja Ayerdi, Bartosz Krawczyk, Manuel Grana and Michal Wozniak
- "Combining One-Class Classifiers for Hyperspectral Image Segmentation"
- Fundamenta Informaticae
2014
- Borja Ayerdi, Ion Marqués and Manuel Grana
- "Spectral-spatial semi-supervised hyperspectral image segmentation using Ensembles of Extreme Learning Machines"
- Neurocomputing
- JCR 2012 - 1.634 (T1, Q2 CSAI) / [5-Year Impact Factor: 1.811]
- Borja Ayerdi, Manuel Grana
- "Hybrid Extreme Rotation Forest"
- Neural Networks
- JCR 2012 - 1.927 (Q1 CSAI) / [5-Year Impact Factor: 2.501]
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 2012 - 1.266 (T1, Q2 CSAI) / [5-Year Impact Factor: 1.529]
- Josu Maiora, Borja Ayerdi, Manuel Graña
- "Random Forest Active Learning for Computed Tomography Angiography Image Segmentation"
- Neurocomputing
- JCR 2012 - 1.634 (T1, Q2 CSAI) / [5-Year Impact Factor: 1.811]
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
- 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 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]
Semana de la ciencia
- XI Semana de la Ciencia 2011 (Diario Vasco)
- XII Semana de la Ciencia 2012
Software
- GIC Source Code
- Hybrid Extreme Rotation Forest (HERF) basic code
- Basic ELM code example
- Adaptative Extreme Rotation Forest (AdaHERF) python code
Datasets
General Datasets
- The Berkeley Segmentation Dataset and Benchmark
- Hyperspectral Remote Sensing Images (Salinas A, Salinas C, Indian Pines, Pavia University)
- UCI Machine Learning Repository
- Post-processed datasets by Alex Savio.
Hyperspectral Datasets
- Hyperspectral Remote Sensing Scenes
- Our own dataset!
- Foster Hyperspectral Images
- FOI HyperSpectral Images
- Spectir Hyperspectral Images
- Bristol Hyperspecrtal Images
- SourceForge repository
- SourceForge Hyperspectral repository
Medical Datasets
- OASIS
- INDI - 1000 Functional Connectomes Project
- ADNI
- BrainMap
- Fractional Anisotropy Database
- MIDAS
- ABIDE
- COBRE-Schizophrenia
Utilities
- JCR
- Web of Knowledge
- Gestión de empleados UPV/EHU
- Gestión de aulas virtuales
- MOODLE
- GAUR
- Eduroam UPV/EHU
- VPN UPV/EHU
- My github
- My LinkedIn
- My Google Scholar
- Git Cheat sheet for Dummies.
- Brain Cloud Computing (BCC)
- BCIG
- Virtual enviroment (Ubuntu)
- Gitlab
- Matrix Cheat Sheet MATLAB, Python NumPy, R, and Julia
Target journals
- IEEE Transactions on Fuzzy Systems (IF 5.484)
- IEEE Transactions on Pattern Analysis and Machine Intelligence (IF 4.795)
- Knowledge-Based Systems (IF 4.104)
- Information Sciences (IF 3.643)
- IEEE Transactions on Geoscience and Remote Sensing (IF 3.467)
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IF 2.874))
- Neural Processing Letters (IF 1.240)