| 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 | 1023 | 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 | 766 | 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 | 565 | 2007 |
| Feature selection for high-dimensional data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Progress in Artificial Intelligence 5, 65-75, 2016 | 504 | 2016 |
| 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 | 360 | 2015 |
| 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 | 273 | 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 |
| 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 | 207 | 2015 |
| 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 | 107 | 2014 |
| Data classification using an ensemble of filters V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos Neurocomputing 135, 13-20, 2014 | 104 | 2014 |
| A methodology for improving tear film lipid layer classification B Remeseiro, V Bolon-Canedo, D Peteiro-Barral, A Alonso-Betanzos, ... IEEE journal of biomedical and health informatics 18 (4), 1485-1493, 2013 | 52 | 2013 |
| On the scalability of feature selection methods on high-dimensional data V Bolón-Canedo, D Rego-Fernández, D Peteiro-Barral, ... Knowledge and Information Systems 56, 395-442, 2018 | 50 | 2018 |
| On the effectiveness of discretization on gene selection of microarray data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 44 | 2010 |
| A comparison of performance of K-complex classification methods using feature selection E Hernández-Pereira, V Bolón-Canedo, N Sánchez-Maroño, ... Information Sciences 328, 1-14, 2016 | 43 | 2016 |
| A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset V Bolon-Canedo, N Sanchez-Marono, A Alonso-Betanzos 2009 International Joint Conference on Neural Networks, 359-366, 2009 | 42 | 2009 |
| A wrapper method for feature selection in multiple classes datasets N Sánchez-Maroño, A Alonso-Betanzos, RM Calvo-Estévez international work-conference on artificial neural networks, 456-463, 2009 | 39 | 2009 |
| Reducing dimensionality in a database of sleep EEG arousals D Álvarez-Estévez, N Sánchez-Maroño, A Alonso-Betanzos, ... Expert Systems with Applications 38 (6), 7746-7754, 2011 | 35 | 2011 |
| A review of microarray datasets: where to find them and specific characteristics A Alonso-Betanzos, V Bolón-Canedo, L Morán-Fernández, ... Microarray Bioinformatics, 65-85, 2019 | 30 | 2019 |
| Agent-based modeling of sustainable behaviors A Alonso-Betanzos, N Sánchez-Maroño, O Fontenla-Romero, JG Polhill, ... Springer International Publishing, 2017 | 29 | 2017 |
| Multiclass classifiers vs multiple binary classifiers using filters for feature selection N Sánchez-Marono, A Alonso-Betanzos, P García-González, ... The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 29 | 2010 |
Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)Dirección de correo verificada de udc.es
