| 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 | 918 | 2009 |
| 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 | 735 | 2006 |
| An efficient approximation to the K-means clustering for massive data M Capó, A Pérez, JA Lozano Knowledge-Based Systems 117, 56-69, 2017 | 157 | 2017 |
| 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 | 145 | 2009 |
| 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 | 102 | 2006 |
| 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 | 68 | 2010 |
| 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 | 29 | 2013 |
| An efficient K-means clustering algorithm for tall data M Capó, A Pérez, JA Lozano Data Mining and Knowledge Discovery, 1-36, 2020 | 28 | 2020 |
| 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 | 28 | 2013 |
| Using multidimensional bayesian network classifiers to assist the treatment of multiple sclerosis JD Rodríguez, A Perez, D Arteta, D Tejedor, JA Lozano IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2012 | 28 | 2012 |
| How trustworthy is Crafty’s analysis of world chess champions? M Guid, A Pérez, I Bratko ICGA journal 31 (3), 131-144, 2008 | 27 | 2008 |
| 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 | 21 | 2011 |
| 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 | 17 | 2015 |
| 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 | 16 | 2017 |
| On-line Elastic Similarity Measures for time series I Oregi, A Pérez, J Del Ser, JA Lozano Pattern Recognition 88, 506-517, 2019 | 12 | 2019 |
| Information theory and classification error in probabilistic classifiers A Páerez, P Larranaga, I Inza International Conference on Discovery Science, 347-351, 2006 | 12 | 2006 |
| An incremental and hierarchical k-NN classifier for handwritten characters C Rodríguez, F Boto, I Soraluze, A Pérez International Conference on Pattern recognition, 2002 | 8 | 2002 |
| 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 | 7 | 2018 |
| Supervised classification in continuous domains with Bayesian networks A Pérez Ph. D. thesis, University of the Basque Country, San Sebastian, Guipuzkoa, Spain, 2010 | 7 | 2010 |
| 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 | 6 | 2014 |
Jose A. LozanoU. of the Basque Country, Basque Center for Applied Mathematics, Research Associate at Sherpa.aiVerified email at ehu.es
