| neat genetic programming: Controlling bloat naturally L Trujillo, L Muñoz, E Galván-López, S Silva Information Sciences 333, 21-43, 2016 | 61 | 2016 |
| M3gp–multiclass classification with gp L Muñoz, S Silva, L Trujillo Genetic Programming: 18th European Conference, EuroGP 2015, Copenhagen …, 2015 | 59 | 2015 |
| Automatic modeling of a gas turbine using genetic programming: An experimental study J Enríquez-Zárate, L Trujillo, S de Lara, M Castelli, Z Emigdio, L Muñoz, ... Applied Soft Computing 50, 212-222, 2017 | 30 | 2017 |
| Transfer learning in constructive induction with Genetic Programming L Muñoz, L Trujillo, S Silva Genetic Programming and Evolvable Machines 21 (4), 529-569, 2020 | 23 | 2020 |
| Evolving multidimensional transformations for symbolic regression with M3GP L Muñoz, L Trujillo, S Silva, M Castelli, L Vanneschi Memetic Computing 11, 111-126, 2019 | 22 | 2019 |
| Local search is underused in genetic programming L Trujillo, E Z-Flores, PS Juárez-Smith, P Legrand, S Silva, M Castelli, ... Genetic Programming Theory and Practice XIV, 119-137, 2018 | 18 | 2018 |
| Evolving genetic programming classifiers with novelty search E Naredo, L Trujillo, P Legrand, S Silva, L Muñoz Information Sciences 369, 347-367, 2016 | 18 | 2016 |
| Multiclass classification through multidimensional clustering S Silva, L Munoz, L Trujillo, V Ingalalli, M Castelli, L Vanneschi Genetic Programming Theory and Practice XIII, 219-239, 2016 | 18 | 2016 |
| NEAT, there’s no bloat L Trujillo, L Munoz, E Naredo, Y Martínez Genetic Programming: 17th European Conference, EuroGP 2014, Granada, Spain …, 2014 | 10 | 2014 |
| EEG-Based Emotion Recognition Using Deep Learning and M3GP AR Aguiñaga, LM Delgado, VR López-López, AC Téllez Applied Sciences 12 (5), 2527, 2022 | 6 | 2022 |
| Untapped potential of genetic programming: Transfer learning and outlier removal L Trujillo, L Muñoz, U López, DE Hernández Genetic Programming Theory and Practice XVI, 193-207, 2019 | 6 | 2019 |
| A machine learning approach for the integration of mirna-target predictions S Beretta, M Castelli, Y Martínez, L Muñoz, S Silva, L Trujillo, L Milanesi, ... 2016 24th Euromicro International Conference on Parallel, Distributed, and …, 2016 | 4 | 2016 |
| Improving classification accuracy by dataset transformation with M3GP LM Delgado, VRL López, AR Aguiñaga Revista Aristas 9 (17), 204-209, 2022 | | 2022 |
| Improving classification accuracy by dataset transformation with M3GP DARA Dr. Luis Muñoz Delgado , Dr. Víctor R. López-López Congreso Internacional de Investigación Tijuana VIII 8 (17), 6, 2022 | | 2022 |
| EEG-Based Emotion Recognition Using Deep Learning and M3GP AA Rodriguez, LM Delgado, VR López-López, AC Tellez Applied Cognitive Sciences 12, 115, 2022 | | 2022 |
| A Scalable Genetic Programming Approach to Integrate miRNA-target Predictions: Comparing Different Parallel Implementations of M3GP IM Stefano Berettaa, Mauro Castelli, Luis Muñoz, Leonardo Trujillo, Yuliana ... Complexity, 2018 | | 2018 |
| Research Article A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP S Beretta, M Castelli, L Muñoz, L Trujillo, Y Martínez, A Popovič, ... | | 2018 |
| A Hybrid ECJ+ BOINC Tool for Distributed Evolutionary Algorithms FF de Vega, L Trujillo, F Chávez, E Mediero, L Munoz | | |
Leonardo TrujilloInstituto Tecnológico de TIjuanaVerified email at tectijuana.edu.mx
