| Improving fingerprint verification using minutiae triplets MA Medina-Pérez, M García-Borroto, AE Gutierrez-Rodríguez, ... Sensors 12 (3), 3418-3437, 2012 | 104 | 2012 |
| Selecting meta-heuristics for solving vehicle routing problems with time windows via meta-learning AE Gutierrez-Rodríguez, SE Conant-Pablos, JC Ortiz-Bayliss, ... Expert Systems with Applications 118, 470-481, 2019 | 61 | 2019 |
| An explainable artificial intelligence model for clustering numerical databases O Loyola-Gonzalez, AE Gutierrez-Rodríguez, MA Medina-Pérez, ... IEEE Access 8, 52370-52384, 2020 | 43 | 2020 |
| Mining patterns for clustering on numerical datasets using unsupervised decision trees AE Gutierrez-Rodríguez, JF Martinez-Trinidad, M García-Borroto, ... Knowledge-Based Systems 82, 70-79, 2015 | 37 | 2015 |
| Cluster Validation using an Ensemble of Supervised Classifiers J Rodríguez, MA Medina-Pérez, AE Gutierrez-Rodríguez, R Monroy, ... Knowledge-Based Systems 145, 134-144, 2018 | 34 | 2018 |
| Enhancing Selection Hyper-heuristics via Feature Transformations I Amaya, JC Ortiz-Bayliss, A Rosales-Pérez, AE Gutierrez-Rodríguez, ... IEEE Computational Intelligence Magazine, 2018 | 24 | 2018 |
| Introducing an experimental framework in C# for fingerprint recognition MA Medina-Pérez, O Loyola-González, AE Gutierrez-Rodríguez, ... Pattern Recognition: 6th Mexican Conference, MCPR 2014, Cancun, Mexico, June …, 2014 | 20 | 2014 |
| Robust fingerprint verification using m-triplets MA Medina-Perez, M Garcia-Borroto, AE Gutierrez-Rodriguez, ... 2011 International Conference on Hand-Based Biometrics, 1-5, 2011 | 20 | 2011 |
| Improving fingerprint matching using an orientation-based minutia descriptor MA Medina-Pérez, A Gutiérrez-Rodríguez, M García-Borroto Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2009 | 17 | 2009 |
| Improving hyper-heuristic performance through feature transformation I Amaya, JC Ortiz-Bayliss, AE Gutiérrez-Rodríguez, H Terashima-Marín, ... 2017 IEEE Congress on Evolutionary Computation (CEC), 2614-2621, 2017 | 13 | 2017 |
| New dissimilarity measures for ultraviolet spectra identification AE Gutiérrez-Rodríguez, MA Medina-Pérez, JF Martínez-Trinidad, ... Advances in Pattern Recognition: Second Mexican Conference on Pattern …, 2010 | 10 | 2010 |
| A general framework based on machine learning for algorithm selection in constraint satisfaction problems JC Ortiz-Bayliss, I Amaya, JM Cruz-Duarte, AE Gutierrez-Rodriguez, ... Applied Sciences 11 (6), 2749, 2021 | 9 | 2021 |
| Integrated criteria to identify the best treatment in plant biotechnology experiments JC Lorenzo, M Varela, M Hernández, A Gutiérrez, A Pérez, ... Acta physiologiae plantarum 35, 3261-3264, 2013 | 9 | 2013 |
| Improving the multiple alignments strategy for fingerprint verification MA Medina-Pérez, M García-Borroto, AE Gutierrez-Rodríguez, ... Pattern Recognition: 4th Mexican Conference, MCPR 2012, Huatulco, Mexico …, 2012 | 8 | 2012 |
| Cooperative multi-objective evolutionary support vector machines for multiclass problems A Rosales-Pérez, AE Gutierrez-Rodríguez, S García, H Terashima-Marín, ... Proceedings of the Genetic and Evolutionary Computation Conference, 513-520, 2018 | 7 | 2018 |
| José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, and Milton García-Borroto.“An Explainable Artificial Intelligence Model for Clustering Numerical Databases” O Loyola-González, AE Gutierrez-Rodríguez, MA Medina-Pérez, ... IEEE Access 8, 52370-52384, 2020 | 6 | 2020 |
| Applying automatic heuristic-filtering to improve hyper-heuristic performance AE Gutierrez-Rodríguez, JC Ortiz-Bayliss, A Rosales-Pérez, ... 2017 IEEE Congress on Evolutionary Computation (CEC), 2638-2644, 2017 | 6 | 2017 |
| Evolutionary multilabel hyper-heuristic design A Rosales-Pérez, AE Gutiérrez-Rodríguez, JC Ortiz-Bayliss, ... 2017 IEEE Congress on Evolutionary Computation (CEC), 2622-2629, 2017 | 6 | 2017 |
| Mining patterns for clustering using unsupervised decision trees AE Gutierrez-Rodríguez, JF Martínez-Trinidad, M García-Borroto, ... Intelligent Data Analysis 19 (6), 1297-1310, 2015 | 6 | 2015 |
| Motor imagery analysis from extensive EEG data representations using convolutional neural networks VA Lomelin-Ibarra, AE Gutierrez-Rodriguez, JA Cantoral-Ceballos Sensors 22 (16), 6093, 2022 | 5 | 2022 |
