| 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 | 195 | 2002 |
| 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 | 185 | 2010 |
| Bayesian chain classifiers for multidimensional classification JC Zaragoza, E Sucar, E Morales, C Bielza, P Larranaga Twenty-second international joint conference on artificial intelligence, 2011 | 132 | 2011 |
| 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 | 103 | 1999 |
| 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 | 96 | 2014 |
| 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 | 83 | 1999 |
| Dynamic reward shaping: training a robot by voice AC Tenorio-Gonzalez, EF Morales, L Villaseñor-Pineda Ibero-American conference on artificial intelligence, 483-492, 2010 | 70 | 2010 |
| 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 | 61 | 2001 |
| Image segmentation using automatic seeded region growing and instance-based learning O Gómez, JA González, EF Morales Iberoamerican Congress on Pattern Recognition, 192-201, 2007 | 60 | 2007 |
| Inductive transfer for learning Bayesian networks R Luis, LE Sucar, EF Morales Machine learning 79 (1-2), 227-255, 2010 | 59 | 2010 |
| Scaling up reinforcement learning with a relational representation EF Morales Proc. of the Workshop on Adaptability in Multi-agent Systems, 15-26, 2003 | 59 | 2003 |
| 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 | 53 | 2007 |
| 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 | 51 | 2015 |
| 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 | 49 | 2004 |
| 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 | 47 | 2016 |
| A new distributed reinforcement learning algorithm for multiple objective optimization problems C Mariano, E Morales Advances in Artificial Intelligence, 290-299, 2000 | 42 | 2000 |
| Pal: A pattern-based first-order inductive system EF Morales Machine Learning 26 (2-3), 227-252, 1997 | 40 | 1997 |
| Learning structure from data and its application to ozone prediction LE Sucar, J Pérez-Brito, JC Ruiz-Suárez, E Morales Applied Intelligence 7 (4), 327-338, 1997 | 37 | 1997 |
| A dynamic Bayesian network for estimating the risk of falls from real gait data G Cuaya, A Munoz-Meléndez, LN Carrera, EF Morales, I Quinones, ... Medical & biological engineering & computing 51 (1-2), 29-37, 2013 | 35 | 2013 |
| A Bayesian approach for object classification based on clusters of SIFT local features L Chang, MM Duarte, LE Sucar, EF Morales Expert Systems With Applications 39 (2), 1679-1686, 2012 | 35 | 2012 |
Luis Enrique SucarSenior Research Scientist, INAOE, MexicoDirección de correo verificada de inaoep.mx
