A review of feature selection methods on synthetic data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Knowledge and information systems 34, 483-519, 2013 | 995 | 2013 |
A review of microarray datasets and applied feature selection methods V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos, JM Benítez, ... Information sciences 282, 111-135, 2014 | 753 | 2014 |
Filter methods for feature selection–a comparative study N Sánchez-Maroño, A Alonso-Betanzos, M Tombilla-Sanromán International Conference on Intelligent Data Engineering and Automated …, 2007 | 544 | 2007 |
Feature selection for high-dimensional data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Progress in Artificial Intelligence 5, 65-75, 2016 | 497 | 2016 |
Ensembles for feature selection: A review and future trends V Bolón-Canedo, A Alonso-Betanzos Information fusion 52, 1-12, 2019 | 496 | 2019 |
Recent advances and emerging challenges of feature selection in the context of big data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Knowledge-based systems 86, 33-45, 2015 | 356 | 2015 |
Ensemble feature selection: Homogeneous and heterogeneous approaches B Seijo-Pardo, I Porto-Díaz, V Bolón-Canedo, A Alonso-Betanzos Knowledge-Based Systems 118, 124-139, 2017 | 307 | 2017 |
Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset V Bolon-Canedo, N Sanchez-Marono, A Alonso-Betanzos Expert Systems with Applications 38 (5), 5947-5957, 2011 | 267 | 2011 |
An ensemble of filters and classifiers for microarray data classification V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Pattern Recognition 45 (1), 531-539, 2012 | 232 | 2012 |
Automatic bearing fault diagnosis based on one-class ν-SVM D Fernández-Francos, D Martínez-Rego, O Fontenla-Romero, ... Computers & Industrial Engineering 64 (1), 357-365, 2013 | 221 | 2013 |
Distributed feature selection: An application to microarray data classification V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Applied soft computing 30, 136-150, 2015 | 206 | 2015 |
Data discretization: taxonomy and big data challenge S Ramírez‐Gallego, S García, H Mouriño‐Talín, D Martínez‐Rego, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6 (1), 5-21, 2016 | 193 | 2016 |
An intelligent system for forest fire risk prediction and fire fighting management in Galicia A Alonso-Betanzos, O Fontenla-Romero, B Guijarro-Berdiñas, ... Expert systems with applications 25 (4), 545-554, 2003 | 188 | 2003 |
Fast‐mRMR: Fast minimum redundancy maximum relevance algorithm for high‐dimensional big data S Ramírez‐Gallego, I Lastra, D Martínez‐Rego, V Bolón‐Canedo, ... International Journal of Intelligent Systems 32 (2), 134-152, 2017 | 183 | 2017 |
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. E Castillo, B Guijarro-Berdinas, O Fontenla-Romero, A Alonso-Betanzos, ... Journal of Machine Learning Research 7 (7), 2006 | 181 | 2006 |
A new method for sleep apnea classification using wavelets and feedforward neural networks O Fontenla-Romero, B Guijarro-Berdinas, A Alonso-Betanzos, ... Artificial Intelligence in Medicine 34 (1), 65-76, 2005 | 128 | 2005 |
An information theory-based feature selection framework for big data under apache spark S Ramírez-Gallego, H Mouriño-Talín, D Martínez-Rego, V Bolón-Canedo, ... IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (9), 1441-1453, 2017 | 118 | 2017 |
A framework for cost-based feature selection V Bolón-Canedo, I Porto-Díaz, N Sánchez-Maroño, A Alonso-Betanzos Pattern Recognition 47 (7), 2481-2489, 2014 | 106 | 2014 |
Data classification using an ensemble of filters V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos Neurocomputing 135, 13-20, 2014 | 104 | 2014 |
On developing an automatic threshold applied to feature selection ensembles B Seijo-Pardo, V Bolón-Canedo, A Alonso-Betanzos Information Fusion 45, 227-245, 2019 | 92 | 2019 |