| 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 | 89 | 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 | 56 | 2017 |
| A review of green artificial intelligence: Towards a more sustainable future V Bolón-Canedo, L Morán-Fernández, B Cancela, A Alonso-Betanzos Neurocomputing, 128096, 2024 | 54 | 2024 |
| Machine Learning Methods for Predicting League of Legends Game Outcome JA Hitar-García, L Morán-Fernández, V Bolon-Canedo IEEE Transactions on Games 15 (2), 171-181, 2022 | 30 | 2022 |
| 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 |
| 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 | 28 | 2022 |
| How important is data quality? Best classifiers vs best features L Morán-Fernández, V Bólon-Canedo, A Alonso-Betanzos Neurocomputing 470, 365-375, 2022 | 26 | 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 | 19 | 2015 |
| 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 |
| 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 | 16 | 2020 |
| Do all roads lead to Rome? Studying distance measures in the context of machine learning E Blanco-Mallo, L Morán-Fernández, B Remeseiro, V Bolón-Canedo Pattern Recognition 141, 109646, 2023 | 14 | 2023 |
| Data complexity measures for analyzing the effect of SMOTE over microarrays. L Morán-Fernández, V Bolón-Canedo, A Alonso-Betanzos ESANN, 2016 | 11 | 2016 |
| Feature selection for domain adaptation using complexity measures and swarm intelligence G Castillo-García, L Morán-Fernández, V Bolón-Canedo Neurocomputing 548, 126422, 2023 | 10 | 2023 |
| A theoretical analysis of quantification methods based on matching distributions A Castaño, L Morán-Fernández, J Alonso, V Bolón-Canedo, ... University of Oviedo, 2021 | 5 | 2021 |
| 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 | 5 | 2019 |
| 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 |
| Finding a needle in a haystack: insights on feature selection for classification tasks L Morán-Fernández, V Bolón-Canedo Journal of Intelligent Information Systems 62 (2), 459-483, 2024 | 4 | 2024 |
| 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 |
| Less is more: Low-precision feature selection for wearables S Suárez-Marcote, L Morán-Femández, V Bolón-Canedo 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
Veronica Bolon-CanedoAssociate Professor, Universidade da Coruña, CITIC確認したメール アドレス: udc.es