Aritz Pérez Martínez   aritz AT si DOT ehu DOT es (+34) 943 01 80 70
Intelligent Systems Group Department of Computer Science and Artificial Intelligence Universisty of the Basque Country (EHU-UPV) Paseo Manuel de Lardizabal, 1 20018 Donostia - San Sebastian Spain

Ikerketa arloak / Areas de investigación / Research interests

I have obtained the PhD degree in computer science in the Department of Computer Science and Artificial Intelligence with the dissertation Supervised Classification in Continuous Domains with Bayesian Networks. My research interest include machine learning, probabilistic graphical models, hipothesis tests, and bioinformatics. Currently, I am working on supervised classification, supervised variable selection and density estimation, all of them focused on domains with continuous and discrete random variables.

Ikasketak / Estudios / Education

2003 - 2010	PhD student on Computer Science (EHU-UPV)
1996 - 2003	Computer Science Engineering (EHU-UPV)
1994 - 1996	International Baccalaureate

Publikazioak / Publicaciones / Publications

2010
	J. A. Fernandes, X. Irigoien, N. Goikoetxea, J. A. Lozano, I. Inza, A. Pérez and A. Bode. Fish recruitment prediction, using robust supervised classification methods. Ecological Modelling, 221(2), 338-352.
	E. Andonegi, J. A. Fernandes, I. Quincoces, X. Irigoien, A. Pérez., D. Howell and G. Stefánsson. The potential use of a Gadget model to predict stock responses to climate change in combination with Bayesian Networks: the case of the Bay of Biscay anchovy. International Symposium “Climate Change Effects on Fish and Fisheries: Forecasting Impacts, Assessing Ecosystem Responses, and Evaluating Management Strategies.
	Supervised pre-processing approaches in multiple class-variables classification for fish recruitment forecasting. J. A. Fernandes, J. A. Lozano, I. Inza, X. Irigoien, J. D. Rodríguez and A. Pérez. Applied Soft Computing. Submited.
	Robust machine-learning techniques for recruitment forecasting of North East Atlantic fish species. Jose A. Fernandes, Xabier Irigoien, J. A. Lozano, I. Inza and A. Pérez. ICES Journal of Marine Science. Submited.

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2009
	A. Pérez, P. Larrañaga and I. Inza. Bayesian classifiers based on kernel density estimation: Flexible classifiers. International Journal of Approximate Reasoning, 50(2):341-362.
	J. D. Rodríguez, A. Pérez, and J. A. Lozano. Sensitivity analysis of k-fold cross-validation in prediction error estimation. IEEE Transactions on Patterns Analysis and Machine Intelligence. Accepted for publication.

2008
	M. Guid, A. Pérez and I. Bratko. How trustworthy is Crafty's analysis of world chess champions?. International Computer Games Association Journal, 31(3), 131-144.

2007
	M. Guid, A. Pérez and I. Bratko. How trustworthy is Crafty's analysis of world chess champions?. Workshop on Computer Games 2007, in press.

2006
	A. Pérez, P. Larrañaga and I. Inza. Information theory and classification error in probabilistic classifiers. Discovery Science 2006, Lecture Notes in Artificial Intelligence, 2006, 4265:347-351.
	P. Larrañaga, B. Calvo, R. Santana, C. Bielza, J. Galdiano, I. Inza, J. A. Lozano, R. Armañanzas, G. Santafé, A. Pérez and V. Robles. Machine learning in Bioinformatics. Briefings in Bioinformatics, 2006, 7:86-112.
	A. Pérez, P. Larrañaga and I. Inza. Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes. International Journal of Approximate Reasoning, 2006, 43:1-25.

2005
	A. Pérez, P. Larrañaga e I. Inza. Modelos gráficos probabilísticos para la clasificación supervisada empleando la estimación basada en kernels Gaussianos esféricos. Actas del Tercer Taller de Minería de Datos y Aprendizaje. Primer Congreso Español de Informática, 2005. Granada.

2002
	I. Soraluze, C. Rodríguez, F. Boto and A. Pérez. Multidimensional multistage K-NN classifiers for handwritten digit recognition. Eight International Workshop on Frontiers in Handwritting Recognition.
	C. Rodríguez, F. Boto, I. Soraluze and A. Pérez. An incremental and hierarchical K-NN classifier for handwritten characters. 16th International Conference on Pattern Recognition.

Barne txostenak / Informes internos / Technical reports

2006
	A. Pérez. Bayesian network classifiers which perform well with continuous attributes: Flexible classifiers. EHU-KZAA-IK-3/06, 2006.

Liburuen kapituloak / Capítulos de libros / Book chapters

2004
	A. Pérez, P. Larrañaga and I. Inza. Supervised Classification with Conditional Gaussian Networks. Filter and Wrapper approaches. Tendencias de la Minería de Datos en España (ISBN: 84-688-8442-1).

Aurkespenak / Presentaciones / Presentations

2005
	A. Pérez, P. Larrañaga e I. Inza. Estimar, descomponer y comparar el error de mala clasificación. Tercer Taller de Minería de Datos y Aprendizaje. Primer Congreso Español de Informática, 2005. Granada.

Aldizkarien aztertzaile / Revisor de las revistas / Reviewer of the journals

	European Conference on Machine Learning.
	International Journal on Pattern Recognition and Artificial Intelligence.
	International Journal of Uncertainty, Fuzziness and Knowledge-based Systems.
	Entropy.

Loturak interesgarriak / Enlaces de interés / Links of interest

	Impact factors.
	Kent Ridge bio-medical data set repository.

Argazkitxoak / Foticos / Pictures

Vignemale (Agosto'07): rar1, rar2, rar3, rar4.

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