| Activity recognition using hybrid generative/discriminative models on home environments using binary sensors FJ Ordónez, P De Toledo, A Sanchis Sensors 13 (5), 5460-5477, 2013 | 332 | 2013 |
| Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A survey I Škrjanc, JA Iglesias, A Sanchis, D Leite, E Lughofer, F Gomide Information sciences 490, 344-368, 2019 | 292 | 2019 |
| Generating ensembles of heterogeneous classifiers using stacked generalization MP Sesmero, AI Ledezma, A Sanchis Wiley interdisciplinary reviews: data mining and knowledge discovery 5 (1 …, 2015 | 187 | 2015 |
| Creating evolving user behavior profiles automatically JA Iglesias, P Angelov, A Ledezma, A Sanchis IEEE transactions on knowledge and data engineering 24 (5), 854-867, 2011 | 172 | 2011 |
| Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm JP Donate, X Li, GG Sánchez, AS de Miguel Neural Computing and Applications 22, 11-20, 2013 | 170 | 2013 |
| Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble JP Donate, P Cortez, GG Sánchez, AS De Miguel Neurocomputing 109, 27-32, 2013 | 97 | 2013 |
| Online activity recognition using evolving classifiers FJ Ordóñez, JA Iglesias, P De Toledo, A Ledezma, A Sanchis Expert Systems with Applications 40 (4), 1248-1255, 2013 | 92 | 2013 |
| Sensor-based Bayesian detection of anomalous living patterns in a home setting FJ Ordónez, P de Toledo, A Sanchis Personal and Ubiquitous Computing 19, 259-270, 2015 | 91 | 2015 |
| Driver drowsiness detection by applying deep learning techniques to sequences of images E Magán, MP Sesmero, JM Alonso-Weber, A Sanchis Applied Sciences 12 (3), 1145, 2022 | 86 | 2022 |
| Human activity recognition based on evolving fuzzy systems JA Iglesias, P Angelov, A Ledezma, A Sanchis International journal of neural systems 20 (05), 355-364, 2010 | 80 | 2010 |
| A human-like TORCS controller for the Simulated Car Racing Championship J Munoz, G Gutierrez, A Sanchis Proceedings of the 2010 IEEE Conference on Computational Intelligence and …, 2010 | 80 | 2010 |
| Predicting the outcome of patients with subarachnoid hemorrhage using machine learning techniques P de Toledo, PM Rios, A Ledezma, A Sanchis, JF Alen, A Lagares IEEE Transactions on Information Technology in Biomedicine 13 (5), 794-801, 2009 | 79 | 2009 |
| Evolving classification of agents’ behaviors: a general approach JA Iglesias, P Angelov, A Ledezma, A Sanchis Evolving Systems 1, 161-171, 2010 | 76 | 2010 |
| Controller for torcs created by imitation J Munoz, G Gutierrez, A Sanchis 2009 IEEE Symposium on Computational Intelligence and Games, 271-278, 2009 | 71 | 2009 |
| In-home activity recognition: Bayesian inference for hidden Markov models FJ Ordonez, G Englebienne, P De Toledo, T Van Kasteren, A Sanchis, ... IEEE Pervasive Computing 13 (3), 67-75, 2014 | 66 | 2014 |
| Web news mining in an evolving framework JA Iglesias, A Tiemblo, A Ledezma, A Sanchis Information Fusion 28, 90-98, 2016 | 60 | 2016 |
| GA-stacking: Evolutionary stacked generalization A Ledezma, R Aler, A Sanchis, D Borrajo Intelligent Data Analysis 14 (1), 89-119, 2010 | 59 | 2010 |
| ConsScale: A pragmatic scale for measuring the level of consciousness in artificial agents R Arrabales, A Ledezma, A Sanchis Journal of Consciousness Studies 17 (3-4), 131-164, 2010 | 59 | 2010 |
| Time series forecasting by evolving artificial neural networks using genetic algorithms and estimation of distribution algorithms J Peralta, G Gutierrez, A Sanchis The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010 | 49 | 2010 |
| Towards conscious-like behavior in computer game characters R Arrabales, A Ledezma, A Sanchis 2009 IEEE symposium on computational intelligence and games, 217-224, 2009 | 49 | 2009 |
AGAPITO LEDEZMA ESPINOUniversidad Carlos III de Madrid在 inf.uc3m.es 的电子邮件经过验证
