| 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 | 970 | 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 | 740 | 2014 |
| A review of feature selection methods in medical applications B Remeseiro, V Bolon-Canedo Computers in biology and medicine 112, 103375, 2019 | 625 | 2019 |
| Ensembles for feature selection: A review and future trends V Bolón-Canedo, A Alonso-Betanzos Information fusion 52, 1-12, 2019 | 473 | 2019 |
| Feature selection for high-dimensional data V Bolón-Canedo, N Sánchez-Maroño, A Alonso-Betanzos Progress in Artificial Intelligence 5 (2), 65-75, 2016 | 469 | 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 | 345 | 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 | 298 | 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 | 265 | 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 | 230 | 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 | 202 | 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 | 190 | 2016 |
| 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 | 179 | 2017 |
| Computer-based image analysis for plus disease diagnosis in retinopathy of prematurity: performance of the “i-ROP” system and image features associated with expert diagnosis E Ataer-Cansizoglu, V Bolon-Canedo, JP Campbell, A Bozkurt, ... Translational vision science & technology 4 (6), 5-5, 2015 | 137 | 2015 |
| Feature selection in image analysis: a survey V Bolon-Canedo, B Remeseiro Artificial Intelligence Review 53 (4), 2905-2931, 2020 | 124 | 2020 |
| 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 | 115 | 2017 |
| Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis JP Campbell, E Ataer-Cansizoglu, V Bolon-Canedo, A Bozkurt, ... JAMA ophthalmology 134 (6), 651-657, 2016 | 109 | 2016 |
| Data classification using an ensemble of filters V Bolón-Canedo, N Sánchez-Marono, A Alonso-Betanzos Neurocomputing 135, 13-20, 2014 | 103 | 2014 |
| 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 | 102 | 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 | 87 | 2019 |
| Centralized vs. distributed feature selection methods based on data complexity measures L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos Knowledge-Based Systems 117, 27-45, 2017 | 79 | 2017 |
Amparo Alonso-BetanzosCatedrática de Computación, CITIC (UDC)在 udc.es 的电子邮件经过验证
