Yuliana Martinez
Yuliana Martinez
Professor
Email verificata su tectijuana.edu.mx
TitoloCitata daAnno
Searching for novel regression functions
Y Martínez, E Naredo, L Trujillo, E Galván-López
2013 IEEE congress on evolutionary computation, 16-23, 2013
222013
Searching for novel classifiers
E Naredo, L Trujillo, Y Martínez
European Conference on Genetic Programming, 145-156, 2013
212013
Predicting problem difficulty for genetic programming applied to data classification
L Trujillo, Y Martínez, E Galván-López, P Legrand
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
182011
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
102014
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
102013
NEAT, there’s no bloat
L Trujillo, L Muńoz, E Naredo, Y Martínez
European Conference on Genetic Programming, 174-185, 2014
92014
Identification of epilepsy stages from ECoG using genetic programming classifiers
A Sotelo, E Guijarro, L Trujillo, LN Coria, Y Martínez
Computers in biology and medicine 43 (11), 1713-1723, 2013
92013
A comparison of fitness-case sampling methods for genetic programming
Y Martínez, E Naredo, L Trujillo, P Legrand, U López
Journal of Experimental & Theoretical Artificial Intelligence 29 (6), 1203-1224, 2017
82017
RANSAC-GP: Dealing with outliers in symbolic regression with genetic programming
U López, L Trujillo, Y Martinez, P Legrand, E Naredo, S Silva
European Conference on Genetic Programming, 114-130, 2017
72017
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
72013
A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming
L Trujillo, Y Martínez, E Galván López, P Legrand
Proceedings of the 14th annual conference companion on Genetic and …, 2012
72012
Estimating classifier performance with genetic programming
L Trujillo, Y Martínez, P Melin
European Conference on Genetic Programming, 274-285, 2011
72011
Prediction of expected performance for a genetic programming classifier
Y Martínez, L Trujillo, P Legrand, E Galván-López
Genetic Programming and Evolvable Machines 17 (4), 409-449, 2016
62016
A machine learning approach for the integration of mirna-target predictions
S Beretta, M Castelli, Y Martínez, L Muńoz, S Silva, L Trujillo, L Milanesi, ...
2016 24th Euromicro International Conference on Parallel, Distributed, and …, 2016
32016
How many neurons?: a genetic programming answer
L Trujillo, Y Martínez, P Melin
Proceedings of the 13th annual conference companion on Genetic and …, 2011
32011
Analysis and classification of epilepsy stages with genetic programming
A Sotelo, E Guijarro, L Trujillo, L Coria, Y Martínez
EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2013
22013
A comparison of predictive measures of problem difficulty for classification with Genetic Programming
L Trujillo, Y Martinez, E Galvan-Lopez, P Legrand
22012
A comparison of predictive measures of problem difficulty for classification with genetic programming
Y Martínez, L Trujillo, E Galvan-Lopez, P Legrand
12012
A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP
S Beretta, M Castelli, L Muńoz, L Trujillo, Y Martínez, A Popovič, ...
Complexity 2018, 2018
2018
Prediction Performance and Problem Difficulty in Genetic Programming
Y Martinez
2016
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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