Searching for novel clustering programs E Naredo, L Trujillo Proceedings of the 15th annual conference on Genetic and evolutionary …, 2013 | 42 | 2013 |
Searching for novel regression functions Y Martínez, E Naredo, L Trujillo, E Galván-López 2013 IEEE congress on evolutionary computation, 16-23, 2013 | 30 | 2013 |
Searching for novel classifiers E Naredo, L Trujillo, Y Martínez Genetic Programming: 16th European Conference, EuroGP 2013, Vienna, Austria …, 2013 | 26 | 2013 |
Evolving genetic programming classifiers with novelty search E Naredo, L Trujillo, P Legrand, S Silva, L Muñoz Information Sciences 369, 347-367, 2016 | 20 | 2016 |
GA-based U-Net architecture optimization applied to retina blood vessel segmentation V Popat, M Mahdinejad, OSD Cedeno, E Naredo, C Ryan University of Limerick, 2020 | 18 | 2020 |
A comparison of fitness-case sampling methods for genetic programming Y Martínez, E Naredo, L Trujillo, P Legrand, U Lopez Journal of Experimental & Theoretical Artificial Intelligence 29 (6), 1203-1224, 2017 | 18 | 2017 |
Preliminary study of bloat in genetic programming with behavior-based search L Trujillo, E Naredo, Y Martínez EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2013 | 18 | 2013 |
RANSAC-GP: Dealing with outliers in symbolic regression with genetic programming U López, L Trujillo, Y Martinez, P Legrand, E Naredo, S Silva Genetic Programming: 20th European Conference, EuroGP 2017, Amsterdam, The …, 2017 | 17 | 2017 |
A comparison of fitness-case sampling methods for symbolic regression with genetic programming Y Martinez, L Trujillo, E Naredo, P Legrand EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2014 | 16 | 2014 |
Generalization in maze navigation using grammatical evolution and novelty search P Urbano, E Naredo, L Trujillo Theory and Practice of Natural Computing: Third International Conference …, 2014 | 15 | 2014 |
Towards incorporating human knowledge in fuzzy pattern tree evolution A Murphy, G Murphy, J Amaral, D MotaDias, E Naredo, C Ryan European Conference on Genetic Programming (Part of EvoStar), 66-81, 2021 | 14 | 2021 |
Optimization of the fuzzy C-means algorithm using evolutionary methods O Castillo, E Rubio, J Soria, E Naredo Engineering Letters 20 (1), 61, 2012 | 13 | 2012 |
ACO-tuning of a fuzzy controller for the ball and beam problem E Naredo, O Castillo Advances in Soft Computing: 10th Mexican International Conference on …, 2011 | 13 | 2011 |
HNAS: hyper neural architecture search for image segmentation Y Houreh, M Mahdinejad, E Naredo, D Mota Dias, C Ryan University of Limerick, 2021 | 11 | 2021 |
The training set and generalization in grammatical evolution for autonomous agent navigation E Naredo, P Urbano, L Trujillo Soft Computing 21, 4399-4416, 2017 | 11 | 2017 |
NEAT, there’s no bloat L Trujillo, L Munoz, E Naredo, Y Martínez Genetic Programming: 17th European Conference, EuroGP 2014, Granada, Spain …, 2014 | 11 | 2014 |
GRAPE: grammatical algorithms in Python for evolution A de Lima, S Carvalho, DM Dias, E Naredo, JP Sullivan, C Ryan Signals 3 (3), 642-663, 2022 | 10 | 2022 |
AutoGE: A Tool for Estimation of Grammatical Evolution Models. MS Ali, M Kshirsagar, E Naredo, C Ryan ICAART (2), 1274-1281, 2021 | 10 | 2021 |
A behavior-based analysis of modal problems L Trujillo, L Spector, E Naredo, Y Martínez Proceedings of the 15th annual conference companion on Genetic and …, 2013 | 9 | 2013 |
Lexi2 lexicase selection with lexicographic parsimony pressure A de Lima, S Carvalho, DM Dias, E Naredo, JP Sullivan, C Ryan Proceedings of the Genetic and Evolutionary Computation Conference, 929-937, 2022 | 8 | 2022 |