| 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 | 78 | 2017 |
| Can classification performance be predicted by complexity measures? A study using microarray data L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos Knowledge and Information Systems 51, 1067-1090, 2017 | 51 | 2017 |
| 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 | 27 | 2019 |
| Feature selection: From the past to the future V Bolón-Canedo, A Alonso-Betanzos, L Morán-Fernández, B Cancela Advances in Selected Artificial Intelligence Areas: World Outstanding Women …, 2022 | 17 | 2022 |
| Machine learning methods for predicting league of legends game outcome JA Hitar-Garcia, L Moran-Fernandez, V Bolon-Canedo IEEE Transactions on Games, 2022 | 17 | 2022 |
| An insight on complexity measures and classification in microarray data V Bolon-Canedo, L Moran-Fernandez, A Alonso-Betanzos 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 17 | 2015 |
| How important is data quality? Best classifiers vs best features L Morán-Fernández, V Bólon-Canedo, A Alonso-Betanzos Neurocomputing 470, 365-375, 2022 | 16 | 2022 |
| A time efficient approach for distributed feature selection partitioning by features L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos Conference of the Spanish association for artificial intelligence, 245-254, 2015 | 16 | 2015 |
| Feature selection with limited bit depth mutual information for portable embedded systems L Moran-Fernandez, K Sechidis, V Bolon-Canedo, A Alonso-Betanzos, ... Knowledge-Based Systems 197, 105885, 2020 | 11 | 2020 |
| Data complexity measures for analyzing the effect of SMOTE over microarrays. L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos ESANN, 2016 | 9 | 2016 |
| Feature selection applied to microarray data A Alonso-Betanzos, V Bolón-Canedo, L Morán-Fernández, B Seijo-Pardo Microarray Bioinformatics, 123-152, 2019 | 5 | 2019 |
| On the use of different base classifiers in multiclass problems L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos Progress in Artificial Intelligence 6, 315-323, 2017 | 5 | 2017 |
| Do we need hundreds of classifiers or a good feature selection? L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos ESANN, 399-404, 2020 | 4 | 2020 |
| Distributed classification based on distances between probability distributions in feature space P Montero-Manso, L Morán-Fernández, V Bolón-Canedo, JA Vilar, ... Information Sciences 496, 431-450, 2019 | 3 | 2019 |
| Feature selection with limited bit depth mutual information for embedded systems L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos Proceedings 2 (18), 1187, 2018 | 3 | 2018 |
| A distributed approach for classification using distance metrics. L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos ESANN, 2017 | 3 | 2017 |
| Feature selection for domain adaptation using complexity measures and swarm intelligence G Castillo-García, L Morán-Fernández, V Bolón-Canedo Neurocomputing 548, 126422, 2023 | 2 | 2023 |
| Preprocessing in high dimensional datasets A Alonso-Betanzos, V Bolón-Canedo, C Eiras-Franco, ... Advances in Biomedical Informatics, 247-271, 2018 | 2 | 2018 |
| Selection of the best base classifier in one-versus-one using data complexity measures L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016 | 2 | 2016 |
| Finding a needle in a haystack: insights on feature selection for classification tasks L Morán-Fernández, V Bolón-Canedo Journal of Intelligent Information Systems, 1-25, 2023 | 1 | 2023 |
Veronica Bolon-CanedoAssociate Professor, Universidade da Coruña, CITICVerified email at udc.es
