| Human-in-the-loop machine learning: a state of the art E Mosqueira-Rey, E Hernández-Pereira, D Alonso-Ríos, ... Artificial Intelligence Review 56 (4), 3005-3054, 2023 | 193 | 2023 |
| An intelligent system for forest fire risk prediction and fire fighting management in Galicia A Alonso-Betanzos, O Fontenla-Romero, B Guijarro-Berdiñas, ... Expert systems with applications 25 (4), 545-554, 2003 | 186 | 2003 |
| An intelligent system for the detection and interpretation of sleep apneas M Cabrero-Canosa, M Castro-Pereiro, M Graña-Ramos, ... Expert Systems with Applications 24 (4), 335-349, 2003 | 71 | 2003 |
| Conversion methods for symbolic features: A comparison applied to an intrusion detection problem E Hernández-Pereira, JA Suárez-Romero, O Fontenla-Romero, ... Expert Systems with Applications 36 (7), 10612-10617, 2009 | 69 | 2009 |
| Intelligent diagnosis of sleep apnea syndrome M Cabrero-Canosa, E Hernandez-Pereira, V Moret-Bonillo IEEE Engineering in medicine and biology Magazine 23 (2), 72-81, 2004 | 69 | 2004 |
| A method for the automatic analysis of the sleep macrostructure in continuum D Álvarez-Estévez, JM Fernández-Pastoriza, E Hernández-Pereira, ... Expert Systems with Applications 40 (5), 1796-1803, 2013 | 46 | 2013 |
| Combining machine learning models for the automatic detection of EEG arousals I Fernández-Varela, E Hernández-Pereira, D Álvarez-Estévez, ... Neurocomputing 268, 100-108, 2017 | 42 | 2017 |
| A comparison of performance of K-complex classification methods using feature selection E Hernández-Pereira, V Bolón-Canedo, N Sánchez-Maroño, ... Information Sciences 328, 1-14, 2016 | 42 | 2016 |
| A neural network approach for forestal fire risk estimation A Alonso-Betanzos, O Fontenla-Romero, B Guijarro-Berdinas, ... ECAI, 643-647, 2002 | 42 | 2002 |
| Intelligent approach for analysis of respiratory signals and oxygen saturation in the sleep apnea/hypopnea syndrome V Moret-Bonillo, D Alvarez-Estévez, A Fernández-Leal, ... The open medical informatics journal 8, 1, 2014 | 32 | 2014 |
| A mixture of experts for classifying sleep apneas B Guijarro-Berdinas, E Hernandez-Pereira, D Peteiro-Barral Expert Systems with Applications 39 (8), 7084-7092, 2012 | 32 | 2012 |
| Automatic classification of respiratory patterns involving missing data imputation techniques EM Hernández-Pereira, D Álvarez-Estévez, V Moret-Bonillo Biosystems Engineering 138, 65-76, 2015 | 30 | 2015 |
| A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings I Fernández-Varela, D Alvarez-Estevez, E Hernández-Pereira, ... Computers in Biology and Medicine 87, 77-86, 2017 | 19 | 2017 |
| Integration of data, information and knowledge in intelligent patient monitoring V Moret-Bonillo, MJ Cabrero-Canosa, EM Hernandez-Pereira Expert Systems with Applications 15 (2), 155-163, 1998 | 18 | 1998 |
| Machine learning techniques to predict different levels of hospital care of CoVid-19 E Hernández-Pereira, O Fontenla-Romero, V Bolón-Canedo, ... Applied Intelligence, 1-19, 2022 | 16 | 2022 |
| A classification and review of tools for developing and interacting with machine learning systems E Mosqueira-Rey, EH Pereira, D Alonso-Ríos, J Bobes-Bascarán Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 1092-1101, 2022 | 12 | 2022 |
| Sleep staging with deep learning: a convolutional model. I Fernández-Varela, D Athanasakis, S Parsons, E Hernández-Pereira, ... ESANN, 2018 | 12 | 2018 |
| A convolutional network for sleep stages classification I Fernández-Varela, E Hernández-Pereira, D Alvarez-Estevez, ... arXiv preprint arXiv:1902.05748, 2019 | 11 | 2019 |
| A convolutional network for the classification of sleep stages I Fernández-Varela, E Hernández-Pereira, V Moret-Bonillo Proceedings 2 (18), 1174, 2018 | 9 | 2018 |
| Deteccion y clasificacion de apneas de sueno mediante wavelets y redes de neuronas artificiales E Hernandez-Pereira, N Carrillo-Rozas, M Cabrero-Canosa, ... Proceedings of the XXth Congreso Anual de la Sociedad Espanola de Ingenieria …, 2002 | 6 | 2002 |
