Endika Bengoetxea Staff BSc in Computer Studies MSc in Medical Imaging PhD in Image and Signal Treatment Intelligent Systems Group Dept. of Architecture and Computer Technology University of the Basque Country Donostia-San Sebastián Spain (+ 34) 943 018058 endika@ehu.es

Curriculum vitae (.html, .pdf)

Research activities

My research trends are on optimization and classification using Bayesian and Gaussian networks. I worked in developing optimization algorithms based on the learning and simulation of Bayesian and Gaussian networks, inexact graph matching, evolutionary computation techniques, and on Bayesian classifers..

My research interests also include application of these techniques to biomedical ingeniering (including pattern recognition on medical imaging), and to real problems on higher education and economics.

Publications

2013

• D. Morales, Y. Vives-Gilabert, B. Gómez-Ansón; E Bengoetxea, P. Larrañaga, C. Bielza, J. Pagonabarraga, J. Kulisevsky, I. Corcuera-Solano, M. Delfino (2013). Predicting dementia development in Parkinson's disease using Bayesian network classifiers. Psychiatry Research: Neuroimaging, 213: 92-98.

2011

• E. Bengoetxea, P. Larrañaga, C. Bielza, J.A. Fernández del Pozo (2010). Optimal Row and Column Ordering to Improve Table Interpretation using Estimation of Distribution Algorithms. Journal of Heuristics, 17(5):567-588.
• J.M. De la Fuente, E. Bengoetxea, F. Navarro, J. Bobes, R.D. Alarcón (2010). Interconnection between Biological Abnormalities in Borderline Personality Disorder. Use of the Bayesion Networks Model. Psychiatry Research, 186:315-319.

2010

• C. Bielza, J.A. Fernández del Pozo, P. Larrañaga, E. Bengoetxea (2010) Multidimensional Statistical Analysis of the Parameterization of a Genetic Algorithm for the Optimal Ordering of Tables. Expert Systems with Applications, 37(1):804-815.
• I. Inza, B. Calvo, R. Armañanzas, E. Bengoetxea, P. Larrañaga, J.A. Lozano (2010). Chapter 2: Machine learning: an indispensable tool in bioinformatics. In Bioinformatics Methods in Clinical Research, R. Matthiesen (ed). Springer. ISBN: 978-1-60327-193-6
• E. Bengoetxea, P. Larrañaga (2010). EDA-PSO: A Hybrid Paradigm Combining Estimation of Distribution Algorithms and Particle Swarm Optimization. Proceedings of the Seventh International Conference on Swarm Intelligence (ANTS 2010). Lecture notes in Computer Science 6234, pp. 416-423. Springer, Heidelberg. Brussels, Belgium.

2009

• Dinora A. Morales, E. Bengoetxea, P. Larrañaga (2009). Chapter XV: Gaussian-Stacking Multiclassifiers for Human Embryo Selection. In Data Mining and Medical Knowledge Management: Cases and Applications, P. Berka, J. Rauch and D.A. Zighed (eds.). Medical Information Science Reference Publisher. IGI Global Inc. ISBN 978-1-60566-218-3 

2008

• D. Morales, E. Bengoetxea, P. Larrañaga (2008) Selection of Human Embryos for Transfer by Bayesian Classifiers. Computers in Biology and Medicine, 38(11):1177-1186.
• D. Morales, E. Bengoetxea, P. Larrañaga, M. García, Y. Franco-Iriarte, M. Fresnada, M. Merino (2008) Bayesian classification for the selection of in-vitro human embryos using morphological and clinical data. Computer Methods and Programs in Biomedicine, 90(2): 104-116.
• D. Morales, E. Bengoetxea, P. Larrañaga (2008). Automatic Segmentation of Zona Pellucida in Human Embryo Images Applying an Active Contour Model. Proceedings of the Medical Image Understanding and Analysis (MIUA 2008), 209-213. J. Hoey and S. McKenna (eds.). Dundee, Scotland.

2007

• T. Miquélez, E. Bengoetxea, A. Mendiburu, P. Larrañaga (2007) Combining Bayesian classifiers and estimation of distribution algorithms for optimization in continuous domains. Connection Science, 19(4): 297-319.
• A. Mendiburu, R. Santana, J. A. Lozano, and E. Bengoetxea (2007). A parallel framework for loopy belief propagation.
  In Workshops Proceedings of the 2007 Genetic and Evolutionary Conference (GECCO'07), Companion Material. London, UK. ACM Digital Library. Pp. 2843-2850.
• D. Morales, E. Bengoetxea, P. Larrañaga, M. García, Y Franco-Iriarte, M. Fresnada, M. Merino (2007).
  Selection of Human Embryos in IVF by Bayesian Classifiers. CEDI 2007, II Simposio de Inteligencia Computacional (SICO'07). Spain.

2006

• Towards a New Evolutionary Computation. Advances on Estimation of Distribution Algorithms (2006)
  J.A. Lozano, P. Larrañaga, I. Inza, E. Bengoetxea (Eds.). Springer. ISBN: 978-3-540-29006-3
  Series: Studies in Fuzziness and Soft Computing , Vol. 192.
• T. Miquélez, E. Bengoetxea, and P. Larrañaga (2006). Evolutionary Bayesian Classifier-based Optimization in Continuous Domains. Lecture notes in Computer Science 4247. SEAL 2006, The 6th International Conference on Simulated Evolution and Learning, Hefei (China).
• T. Miquélez, E. Bengoetxea, P. Larrañaga (2006). Bayesian classifiers in optimization: an EDA-like approach. In Towards a New Evolutionary Computation. Advances on Estimation of Distribution Algorithms, Lozano, J.A.; Larrañaga, P.; Inza, I.; Bengoetxea, E. (Eds.). Springer. 221-242.

2005

• R.M. Cesar, E. Bengoetxea, I. Bloch, P. Larrañaga (2005). Inexact graph matching for mdel-based recognition: Evaluation and comparison of optimization algorithms. Pattern Recognition 38(11):2099-2113.
• T. Miquélez, O. Pérez-Beltrán, E. Bengoetxea, and P. Larrañaga. (2005). Optimización mediante clasificadores Bayesianos evolutivos en entornos continuos. CEDI 2005, IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, Spain.

2004  

• T. Miquélez, O. Pérez-Beltrán, E. Bengoetxea, and P. Larrañaga (2004). Evolutionary Computation based on Bayesian Classifiers. International Journal of Applied Mathematics and Computer Science, 14(3), 101-115.
• T. Miquélez, E. Bengoetxea, and P. Larrañaga (2004). Applying Bayesian Classifiers to Evolutionary Computation. Technical report, KAT-IK-04-01 of the Department of Computer Architecture and Technology, University of the Basque Country, Spain.

2003

• E. Bengoetxea (2003). Inexact Graph Matching Using Estimation of Distribution Algorithms. PhD Thesis.
  Ecole Nationale Supérieure des Télécommunications, Paris, France. Last Version: March 2003

2002

• E. Bengoetxea, P. Larrañaga, I. Bloch, A. Perchant, and C. Boeres (2002). Learning and simulation of Bayesian networks applied to inexact graph matching. Pattern Recognition 35(12):2867-2880.
• R.M. Cesar, E. Bengoetxea, I. Bloch (2002). Inexact graph matching using stochastic optimization techniques for facial feature recognition.
  In 16th International IEEE Conference on Pattern Recognition (ICPR 2002), vol 2, pages 465-468. Quebeck, Canada.
• A. Mendiburu, E. Bengoetxea, J. Miguel (2002). Paralelización de algorítmos de estimación de distribuciones. In XIII Jornadas de Paralelismo, pages 37-41. ISBN: 64-8409-159-7.

2001 

• E. Bengoetxea, P. Larrañaga, I. Bloch, and A. Perchant (2001). Estimation of Distribution Algorithms: A New Evolutionary Computation Approach For Graph Matching Problems. Lecture notes in Computer Science 2134. Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR-2001). M. Figueiredo, J. Zerubia and A. K. Jain (eds.), pages 454-468, ISBN: 978-3-540-42523-6. Sophia Antipolis, France.
• E. Bengoetxea, P. Larrañaga, I. Bloch, and A. Perchant (2001). Image Recognition with Graph Matching Using Estimation of Distribution Algorithms. Proceedings of the Medical Image Understanding and Analysis (MIUA 2001), 89-92, Birmingham, UK.
• E. Bengoetxea, P. Larrañaga, I. Bloch, P. Perchant (2001). Chapter 12: Solving graph matching with EDAs using a permutation-based representation. In Estimation of Distribution Algorithms. A new tool for Evolutionary Computation, P. Larrañaga and J.A. Lozano (eds.). Kluwer Academic Publishers. 
• P. Larrañaga, E. Bengoetxea, J.A. Lozano, V. Robles, A. Mendiburu, and P. de Miguel (2001). Searching for the Best Permutation with estimation of Distribution Algorithms. Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 2001). Workshop on Stochastic Search Algorithms, pages 7-14, Seattle, USA.
• E. Bengoetxea, T. Miquélez, J.A. Lozano, and P. Larrañaga (2001). Chapter 8: Experimental results in function optimization with EDAs in continuous domain. In Estimation of Distribution Algorithms. A new tool for Evolutionary Computation, P. Larrañaga and J.A. Lozano (eds.). Kluwer Academic Publishers.
• P. Larrañaga, J.A. Lozano, and E. Bengoetxea. (2001). Estimation of Distribution Algorithms based on multivariate normal and Gaussian networks. Technical Report KZZA-IK-1-01 of the Department of Computer Science and Artificial Intelligence, University of the Basque Country, Spain.
• T. Miquélez, E. Bengoetxea, I. Morlán, and P. Larrañaga (2001). Obtention of filters for Image Restauration Using Estimation of Distribution Algorithms. CAEPIA 2001, Spanish Society for the Artificial Intelligence. (in Spanish).

2000  

• E. Bengoetxea, P. Larrañaga, I. Bloch, A. Perchant, and C. Boeres (2000). Inexact graph matching using learning and simulation of Bayesian networks. An empirical comparison between different approaches with synthetic data. Proceedings of CaNew workshop, ECAI 2000 Conference, ECCAI. Berlin, Germany.

1998

• E. Bengoetxea (1998). Use of PET in radiotherapy. MSc Thesis.
  University of Aberdeen, Scotland, UK. Last Version: September 1998

Last updated: 11/I/2010