| A review on quantification learning P González, A Castaño, NV Chawla, JJD Coz ACM Computing Surveys (CSUR) 50 (5), 1-40, 2017 | 139 | 2017 |
| Automatic plankton quantification using deep features P González, A Castaño, EE Peacock, J Díez, JJ Del Coz, HM Sosik Journal of Plankton Research 41 (4), 449-463, 2019 | 61 | 2019 |
| Dynamic ensemble selection for quantification tasks P Pérez-Gállego, A Castaño, JR Quevedo, JJ del Coz Information Fusion 45, 1-15, 2019 | 57 | 2019 |
| An equivalence analysis of binary quantification methods A Castaño, J Alonso, P González, JJ del Coz Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6944-6952, 2023 | 5 | 2023 |
| Matching distributions algorithms based on the Earth mover’s distance for ordinal quantification A Castaño, P González, JA González, JJ Del Coz IEEE Transactions on Neural Networks and Learning Systems, 2022 | 5 | 2022 |
| Análisis de algoritmos de cuantificacíon basados en ajuste de distribuciones A Castano, L Morán-Fernández, J Alonso, V Bolón-Canedo, ... IX Simposio de Teoría y Aplicaciones de la Minería de Datos (TAMIDA 2018 …, 2018 | 1 | 2018 |
| QuantificationLib: A Python library for quantification and prevalence estimation A Castaño, J Alonso, P González, P Pérez, JJ del Coz SoftwareX 26, 101728, 2024 | | 2024 |
