Estimating Classifier Performance with Genetic Programming. - Leonardo Trujillo; Yuliana Martínez; Patricia Melin (EuroGP, 2011)

Predicting problem difficulty for genetic programming applied to data classification. - Leonardo Trujillo; Yuliana Martínez; Edgar Galván López; Pierrick Legrand (GECCO, 2011)

How many neurons?: a genetic programming answer. - Leonardo Trujillo; Yuliana Martínez; Patricia Melin (GECCO (Companion), 2011)

Analysis and Classification of Epilepsy Stages with Genetic Programming. - Arturo Sotelo; Enrique Guijarro; Leonardo Trujillo; Luis N. Coria; Yuliana Martínez (EVOLVE, 2012)

A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming. - Leonardo Trujillo; Yuliana Martínez; Edgar Galván López; Pierrick Legrand (GECCO (Companion), 2012)

Searching for novel regression functions. - Yuliana Martínez; Enrique Naredo; Leonardo Trujillo; Edgar Galván López (IEEE Congress on Evolutionary Computation, 2013)

Searching for Novel Classifiers. - Enrique Naredo; Leonardo Trujillo; Yuliana Martínez (EuroGP, 2013)

A behavior-based analysis of modal problems. - Leonardo Trujillo; Lee Spector; Enrique Naredo; Yuliana Martínez (GECCO (Companion), 2013)

Identification of epilepsy stages from ECoG using genetic programming classifiers. - Arturo Sotelo; Enrique Guijarro; Leonardo Trujillo; Luis N. Coria; Yuliana Martínez (Comput. Biol. Medicine, 2013)

NEAT, There's No Bloat. - Leonardo Trujillo; Luis Muñoz; Enrique Naredo; Yuliana Martínez (EuroGP, 2014)

A Machine Learning Approach for the Integration of miRNA-Target Predictions. - Stefano Beretta 001; Mauro Castelli; Yuliana Martínez; Luis Muñoz; Sara Silva; Leonardo Trujillo; Luciano Milanesi; Ivan Merelli (PDP, 2016)

Prediction of expected performance for a genetic programming classifier. - Yuliana Martínez; Leonardo Trujillo; Pierrick Legrand; Edgar Galván López (Genet. Program. Evolvable Mach., 2016)

Prediction Performance and Problem Difficulty in Genetic Programming. (Predicción de rendimiento y dificultad de problemas en programación genetica). - Yuliana Martínez (2016)

RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. - Uriel López; Leonardo Trujillo; Yuliana Martínez; Pierrick Legrand; Enrique Naredo; Sara Silva (EuroGP, 2017)

A comparison of fitness-case sampling methods for genetic programming. - Yuliana Martínez; Enrique Naredo; Leonardo Trujillo; Pierrick Legrand; Uriel López (J. Exp. Theor. Artif. Intell., 2017)

A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP. - Stefano Beretta 001; Mauro Castelli; Luis Muñoz; Leonardo Trujillo; Yuliana Martínez; Ales Popovic; Luciano Milanesi; Ivan Merelli (Complex., 2018)

Graph-based analysis of problem space and genetic programming classifier performance using optimal transport dataset distance. - Joel Nation; Daniel Fajardo-Delgado; Yuliana Martínez; Arnoldo Díaz-Ramírez; Leonardo Trujillo (Appl. Soft Comput., 2025)