| Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context O Reyes, C Morell, S Ventura Neurocomputing 161, 168-182, 2015 | 204 | 2015 |
| Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer JM Jiménez-Vacas, V Herrero-Aguayo, AJ Montero-Hidalgo, ... EBioMedicine 51, 2020 | 81 | 2020 |
| Performing Multi-Target Regression via a Parameter Sharing-based Deep Network O Reyes, S Ventura International Journal of Neural Systems 29 (9 (1950014)), 1-22, 2019 | 74 | 2019 |
| Effective active learning strategy for multi-label learning O Reyes, C Morell, S Ventura Neurocomputing 273, 494-508, 2018 | 73 | 2018 |
| Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study E Perez, O Reyes, S Ventura Medical image analysis 67, 101858, 2021 | 63 | 2021 |
| Dysregulation of the splicing machinery is associated to the development of non-alcoholic fatty liver disease M del Río-Moreno, E Alors-Pérez, S González-Rubio, G Ferrín, O Reyes, ... The Journal of Clinical Endocrinology & Metabolism, jc.2019-00021, https …, 2019 | 63 | 2019 |
| Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3 AC Fuentes-Fayos, MC Vázquez-Borrego, JM Jimenez-Vacas, L Bejarano, ... Brain 143 (11), 3273-3293, 2020 | 60 | 2020 |
| Statistical comparisons of active learning strategies over multiple datasets O Reyes, AH Altalhi, S Ventura Knowledge-Based Systems 145, 274-288, 2018 | 59 | 2018 |
| Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data O Reyes, S Ventura ACM Transactions on Intelligent Systems and Technology 9 (4), 46:1--46:26, 2018 | 43 | 2018 |
| Evolutionary feature weighting to improve the performance of multi-label lazy algorithms O Reyes, C Morell, S Ventura Integrated Computer-Aided Engineering 21 (4), 339-354, 2014 | 43 | 2014 |
| Changes in splicing machinery components influence, precede, and early predict the development of type 2 diabetes: from the CORDIOPREV study MD Gahete, M del Rio-Moreno, A Camargo, JF Alcala-Diaz, E Alors-Perez, ... EBioMedicine 37, 356-365, 2018 | 38 | 2018 |
| ReliefF-ML: an extension of ReliefF algorithm to multi-label learning OGR Pupo, C Morell, SV Soto Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2013 | 36 | 2013 |
| Effective lazy learning algorithm based on a data gravitation model for multi-label learning O Reyes, C Morell, S Ventura Information Sciences 340, 159-174, 2016 | 33 | 2016 |
| JCLAL: A Java Framework for Active Learning O Reyes, E Pérez, M del Carmen Rodrıguez-Hernández, HM Fardoun, ... Journal of Machine Learning Research 17 (95), 1-5, 2016 | 33 | 2016 |
| Signal Speech Reconstruction and Noise removal using Convolutional Denoising Audioencoders with Neural Deep Learning A Houda, O Chakkor, O Reyes, S Ventura Analog Integrated Circuits and Signal Processing. https://doi.org/10.1007 …, 2019 | 27 | 2019 |
| A locally weighted learning method based on a data gravitation model for multi-target regression O Reyes, A Cano, HM Fardoun, S Ventura International Journal of Computational Intelligence Systems 11, 282-295, 2018 | 27 | 2018 |
| Reliability and Acceptance of dreaMS, a Software Application for People with Multiple Sclerosis – a Feasibility Study T Woelfle, S Pless, Ó Reyes, A Wiencierz, A Feinstein, P Calabrese, ... Journal of Neurology, 2022 | 15 | 2022 |
| Performing multi-target regression via gene expression programming-based ensemble models J Moyano, O Reyes, S Fardoun, Habib M., Ventura Neurocomputing 432 (7), 275-287, 2021 | 12 | 2021 |
| An ensemble-based method for the selection of instances in the multi-target regression problem O Reyes, H Fardoun, S Ventura Integrated Computer-Aided Engineering 25 (4), 305-320, 2018 | 11 | 2018 |
| A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis O Reyes, E Perez, RM Luque, J Castano, S Ventura Artificial Intelligence in Medicine 108, 101950, 2020 | 10 | 2020 |
Sebastián Ventura (ORCID: 0000-000...Professor of Computing and Artificial Intelligence, University of Cordoba (RoR:05yc77b46)Bestätigte E-Mail-Adresse bei uco.es
