| The segmented and annotated IAPR TC-12 benchmark HJ Escalante, CA Hernández, JA Gonzalez, A López-López, M Montes, ... Computer vision and image understanding 114 (4), 419-428, 2010 | 435 | 2010 |
| Automatic feature construction and a simple rule induction algorithm for skin detection G Gomez, E Morales Proc. of the ICML workshop on Machine Learning in Computer Vision 31, 2002 | 219 | 2002 |
| Bayesian chain classifiers for multidimensional classification JH Zaragoza, LE Sucar, EF Morales, PM Larrañaga Múgica, ... Association for the Advancement of Artificial Intelligence 3, 2192-2197, 2011 | 203 | 2011 |
| Multi-label classification with Bayesian network-based chain classifiers LE Sucar, C Bielza, EF Morales, P Hernandez-Leal, JH Zaragoza, ... Pattern Recognition Letters 41, 14-22, 2014 | 147 | 2014 |
| Dynamic reward shaping: training a robot by voice AC Tenorio-Gonzalez, EF Morales, L Villasenor-Pineda Advances in Artificial Intelligence–IBERAMIA 2010: 12th Ibero-American …, 2010 | 124 | 2010 |
| Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients A Maxhuni, A Muñoz-Meléndez, V Osmani, H Perez, O Mayora, ... Pervasive and Mobile Computing 31, 50-66, 2016 | 113 | 2016 |
| MOAQ an ant-Q algorithm for multiple objective optimization problems CE Mariano, EM Morales Proceedings of the 1st Annual Conference on Genetic and Evolutionary …, 1999 | 111 | 1999 |
| A brief introduction to supervised, unsupervised, and reinforcement learning EF Morales, HJ Escalante Biosignal processing and classification using computational learning and …, 2022 | 108 | 2022 |
| A multiple objective ant-Q algorithm for the design of water distribution irrigation networks CE Mariano, E Morales Instituto Mexicano de Tecnología del Agua, Technical Report HC-9904, 1999 | 95 | 1999 |
| Inductive transfer for learning Bayesian networks R Luis, LE Sucar, EF Morales Machine learning 79, 227-255, 2010 | 92 | 2010 |
| Image segmentation using automatic seeded region growing and instance-based learning O Gómez, JA González, EF Morales Progress in Pattern Recognition, Image Analysis and Applications: 12th …, 2007 | 90 | 2007 |
| An introduction to reinforcement learning EF Morales, JH Zaragoza Decision theory models for applications in artificial intelligence: concepts …, 2012 | 89 | 2012 |
| Stress modelling and prediction in presence of scarce data A Maxhuni, P Hernandez-Leal, LE Sucar, V Osmani, EF Morales, ... Journal of biomedical informatics 63, 344-356, 2016 | 87 | 2016 |
| A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning EF Morales, R Murrieta-Cid, I Becerra, MA Esquivel-Basaldua Intelligent Service Robotics 14 (5), 773-805, 2021 | 86 | 2021 |
| Term-weighting learning via genetic programming for text classification HJ Escalante, MA García-Limón, A Morales-Reyes, M Graff, ... Knowledge-Based Systems 83, 176-189, 2015 | 85 | 2015 |
| Scaling up reinforcement learning with a relational representation EF Morales Proc. of the Workshop on Adaptability in Multi-agent Systems, 15-26, 2003 | 70 | 2003 |
| SICIB: An interactive music composition system using body movements R Morales-Manzanares, EF Morales, R Dannenberg, J Berger Computer Music Journal 25 (2), 25-36, 2001 | 70 | 2001 |
| Learning to fly by combining reinforcement learning with behavioural cloning EF Morales, C Sammut Proceedings of the twenty-first international conference on Machine learning, 76, 2004 | 67 | 2004 |
| Multi-objective optimization of water-using systems CE Mariano-Romero, VH Alcocer-Yamanaka, EF Morales European journal of operational research 181 (3), 1691-1707, 2007 | 64 | 2007 |
| Real-time face recognition for human-robot interaction C Cruz, LE Sucar, EF Morales 2008 8th IEEE international conference on automatic face & gesture …, 2008 | 55 | 2008 |
Luis Enrique SucarSenior Research Scientist, INAOE, MexicoAdresse e-mail validée de inaoep.mx