Aritz Pérez
Title
Cited by
Cited by
Year
Sensitivity analysis of k-fold cross validation in prediction error estimation
JD Rodriguez, A Perez, JA Lozano
IEEE transactions on pattern analysis and machine intelligence 32 (3), 569-575, 2009
7702009
Machine learning in bioinformatics
P Larranaga, B Calvo, R Santana, C Bielza, J Galdiano, I Inza, JA Lozano, ...
Briefings in bioinformatics 7 (1), 86-112, 2006
7012006
An efficient approximation to the K-means clustering for massive data
M Capó, A Pérez, JA Lozano
Knowledge-Based Systems 117, 56-69, 2017
1392017
Bayesian classifiers based on kernel density estimation: Flexible classifiers
A Pérez, P Larrañaga, I Inza
International Journal of Approximate Reasoning 50 (2), 341-362, 2009
1392009
Supervised classification with conditional Gaussian networks: Increasing the structure complexity from naive Bayes
A Perez, P Larranaga, I Inza
International Journal of Approximate Reasoning 43 (1), 1-25, 2006
922006
Fish recruitment prediction, using robust supervised classification methods
JA Fernandes, X Irigoien, N Goikoetxea, JA Lozano, I Inza, A Pérez, ...
Ecological Modelling 221 (2), 338-352, 2010
632010
A general framework for the statistical analysis of the sources of variance for classification error estimators
JD RodríGuez, A Pérez, JA Lozano
Pattern recognition 46 (3), 855-864, 2013
272013
Using multidimensional bayesian network classifiers to assist the treatment of multiple sclerosis
JD Rodriguez, A Perez, D Arteta, D Tejedor, JA Lozano
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2012
272012
Supervised pre-processing approaches in multiple class variables classification for fish recruitment forecasting
JA Fernandes, JA Lozano, I Inza, X Irigoien, A Pérez, JD Rodríguez
Environmental modelling & software 40, 245-254, 2013
262013
How trustworthy is Crafty’s analysis of world chess champions?
M Guid, A Pérez, I Bratko
ICGA journal 31 (3), 131-144, 2008
262008
The potential use of a Gadget model to predict stock responses to climate change in combination with Bayesian networks: the case of Bay of Biscay anchovy
E Andonegi, JA Fernandes, I Quincoces, X Irigoien, A Uriarte, A Pérez, ...
ICES Journal of Marine Science 68 (6), 1257-1269, 2011
212011
An efficient K-means clustering algorithm for massive data
M Capó, A Pérez, JA Lozano
arXiv preprint arXiv:1801.02949, 2018
172018
Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species
JA Fernandes, X Irigoien, JA Lozano, I Inza, N Goikoetxea, A Pérez
Ecological Informatics 25, 35-42, 2015
162015
On-line dynamic time warping for streaming time series
I Oregi, A Pérez, J Del Ser, JA Lozano
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
132017
Information theory and classification error in probabilistic classifiers
A Páerez, P Larrañaga, I Inza
International Conference on Discovery Science, 347-351, 2006
102006
On-line Elastic Similarity Measures for time series
I Oregi, A Pérez, J Del Ser, JA Lozano
Pattern Recognition 88, 506-517, 2019
92019
An incremental and hierarchical k-NN classifier for handwritten characters
C Rodríguez, F Boto, I Soraluze, A Pérez
International Conference on Pattern recognition, 2002
82002
Modelos gráficos probabilísticos para la clasificación supervisada empleando la estimación basada en kernels Gaussianos esféricos
A Pérez, P Larranaga, I Inza
III Taller Nacional de Minería de Datos y Aprendizaje, 125-134, 2005
72005
Adversarial sample crafting for time series classification with elastic similarity measures
I Oregi, J Del Ser, A Perez, JA Lozano
International Symposium on Intelligent and Distributed Computing, 26-39, 2018
62018
Learning maximum weighted (k+ 1)-order decomposable graphs by integer linear programming
A Pérez, C Blum, JA Lozano
European Workshop on Probabilistic Graphical Models, 396-408, 2014
62014
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Articles 1–20