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Elena Montañés
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Dependent binary relevance models for multi-label classification
E Montanes, R Senge, J Barranquero, JR Quevedo, JJ del Coz, ...
Pattern Recognition 47 (3), 1494-1508, 2014
1622014
A SVM-based regression model to study the air quality at local scale in Oviedo urban area (Northern Spain): A case study
PJG Nieto, EF Combarro, JJ del Coz Díaz, E Montañés
Applied Mathematics and Computation 219 (17), 8923-8937, 2013
1362013
Introducing a family of linear measures for feature selection in text categorization
EF Combarro, E Montanes, I Diaz, J Ranilla, R Mones
IEEE transactions on Knowledge and Data Engineering 17 (9), 1223-1232, 2005
1202005
Scoring and selecting terms for text categorization
E Montanes, I Diaz, J Ranilla, EF Combarro, J Fernandez
IEEE Intelligent Systems 20 (3), 40-47, 2005
662005
Power plant condenser performance forecasting using a non-fully connected artificial neural network
MM Prieto, E Montanes, O Menendez
Energy 26 (1), 65-79, 2001
602001
Improving performance of text categorization by combining filtering and support vector machines
I Díaz, J Ranilla, E Montañes, J Fernández, EF Combarro
Journal of the American society for information science and technology 55 (7 …, 2004
472004
Analysis of the thermal performance of a church window steam condenser for different operational conditions using three models
MM Prieto, IM Suarez, E Montanes
Applied thermal engineering 23 (2), 163-178, 2003
462003
Aggregating independent and dependent models to learn multi-label classifiers
E Montanés, JR Quevedo, JJ del Coz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
342011
Measures of rule quality for feature selection in text categorization
E Montanés, J Fernández, I Díaz, EF Combarro, J Ranilla
international Symposium on Intelligent data analysis, 589-598, 2003
332003
Enhancing directed binary trees for multi-class classification
E Montañés, J Barranquero, J Díez, JJ Del Coz
Information Sciences 223, 42-55, 2013
282013
Using A* for inference in probabilistic classifier chains
D Mena Waldo, E Montañés Roces, JR Quevedo Pérez, JJ Coz Velasco
Proceedings of the Twenty-Fourth International Joint Conference on …, 2015
252015
A wrapper approach with support vector machines for text categorization
E Montañés, JR Quevedo, I Díaz
International Work-Conference on Artificial Neural Networks, 230-237, 2003
252003
An overview of inference methods in probabilistic classifier chains for multilabel classification
D Mena, E Montañés, JR Quevedo, JJ del Coz
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6 (6 …, 2016
232016
Forecasting time series combining machine learning and box-jenkins time series
E Montañés, JR Quevedo, MM Prieto, CO Menéndez
Advances in Artificial Intelligence—IBERAMIA 2002: 8th Ibero-American …, 2002
232002
Collaborative tag recommendation system based on logistic regression
E Montanés, JR Quevedo, I Díaz, J Ranilla
ECML PKDD Discovery Challenge, 173-188, 2009
192009
Towards automatic and optimal filtering levels for feature selection in text categorization
E Montañés, EF Combarro, I Díaz, J Ranilla
Advances in Intelligent Data Analysis VI: 6th International Symposium on …, 2005
172005
Ordinal classification/regression for analyzing the influence of superstars on spectators in cinema marketing
E Montañés, A Suárez-Vázquez, JR Quevedo
Expert Systems with Applications 41 (18), 8101-8111, 2014
162014
Obtaining Rubric Weights for Assessments by More than One Lecturer Using a Pairwise Learning Model.
JR Quevedo, E Montañés
International Working Group on Educational Data Mining, 2009
162009
Waste heat recovery system for marine engines optimized through a preference learning rank function embedded into a Bayesian optimizer
LA Díaz-Secades, R González, N Rivera, E Montañés, JR Quevedo
Ocean Engineering 281, 114747, 2023
112023
Adapting decision DAGs for multipartite ranking
JR Quevedo, E Montanés, O Luaces, JJ Del Coz
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
112010
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Articles 1–20