| 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 | 396 | 2010 |
| Narrative review: Diabetic foot and infrared thermography D Hernandez-Contreras, H Peregrina-Barreto, J Rangel-Magdaleno, ... Infrared Physics & Technology 78, 105-117, 2016 | 108 | 2016 |
| Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic. LJ Mena, JA Gonzalez FLAIRS, 574-579, 2006 | 100 | 2006 |
| Segmentation and classification of bone marrow cells images using contextual information for medical diagnosis of acute leukemias C Reta, L Altamirano, JA Gonzalez, R Diaz-Hernandez, H Peregrina, ... PloS one 10 (6), e0130805, 2015 | 94 | 2015 |
| 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 | 88 | 2007 |
| Acute leukemia classification by ensemble particle swarm model selection HJ Escalante, M Montes-y-Gómez, JA González, P Gómez-Gil, ... Artificial Intelligence in Medicine, 2012 | 86 | 2012 |
| An evolutionary multiobjective model and instance selection for support vector machines with pareto-based ensembles A Rosales-Pérez, S García, JA Gonzalez, CAC Coello, F Herrera IEEE Transactions on Evolutionary Computation 21 (6), 863-877, 2017 | 82 | 2017 |
| Segmentation of bone marrow cell images for morphological classification of acute leukemia C Reta, L Altamirano, JA Gonzalez, R Diaz, JS Guichard Twenty-Third International FLAIRS Conference, 2010 | 82 | 2010 |
| Classifying infant cry patterns by the genetic selection of a fuzzy model A Rosales-Pérez, CA Reyes-García, JA Gonzalez, OF Reyes-Galaviz, ... Biomedical Signal Processing and Control 17, 38-46, 2015 | 72 | 2015 |
| Application of graph-based concept learning to the predictive toxicology domain J Gonzalez, L Holder, DJ Cook Proceedings of the Predictive Toxicology Challenge Workshop, 2001 | 65 | 2001 |
| Graph based concept learning JA Gonzalez, LB Holder, DJ Cook AAAI/IAAI 1072, 2000 | 61 | 2000 |
| A quantitative index for classification of plantar thermal changes in the diabetic foot D Hernandez-Contreras, H Peregrina-Barreto, J Rangel-Magdaleno, ... Infrared Physics & Technology 81, 242-249, 2017 | 57 | 2017 |
| Symbolic one-class learning from imbalanced datasets: application in medical diagnosis L Mena, JA Gonzalez International Journal on Artificial Intelligence Tools 18 (02), 273-309, 2009 | 52 | 2009 |
| Mobile personal health system for ambulatory blood pressure monitoring LJ Mena, VG Felix, R Ostos, JA Gonzalez, A Cervantes, A Ochoa, C Ruiz, ... Computational and mathematical methods in medicine 2013 (1), 598196, 2013 | 47 | 2013 |
| A hybrid surrogate-based approach for evolutionary multi-objective optimization A Rosales-Pérez, CAC Coello, JA Gonzalez, CA Reyes-Garcia, ... 2013 IEEE Congress on Evolutionary Computation, 2548-2555, 2013 | 45 | 2013 |
| Graph-based relational concept learning JA Gonzalez, LB Holder, DJ Cook ICML, 219-226, 2002 | 43 | 2002 |
| Surrogate-assisted multi-objective model selection for support vector machines A Rosales-Pérez, JA Gonzalez, CAC Coello, HJ Escalante, ... Neurocomputing 150, 163-172, 2015 | 40 | 2015 |
| Free radical grafting of diethylmaleate on linear low‐density polyethylenes C Rosales, L Márquez, J González, R Perera, B Rojas, M Vivas Polymer Engineering & Science 36 (17), 2247-2252, 1996 | 36 | 1996 |
| Synthetic oversampling of instances using clustering AI Sanchez, EF Morales, JA Gonzalez International Journal on Artificial Intelligence Tools 22 (02), 1350008, 2013 | 34 | 2013 |
| Multi-objective model type selection A Rosales-Pérez, JA Gonzalez, CAC Coello, HJ Escalante, ... Neurocomputing 146, 83-94, 2014 | 32 | 2014 |
Hugo Jair EscalanteINAOEVerified email at inaoep.mx
