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2020 – today
- 2022
[j59]Edgar Galván
, Leonardo Trujillo, Fergal Stapleton:
Semantics in Multi-objective Genetic Programming. Appl. Soft Comput. 115: 108143 (2022)- [j58]Juan Carlos Dibene, Yazmín Maldonado, Leonardo Trujillo, Enrique Dunn:
Prepare for Ludicrous Speed: Marker-based Instantaneous Binocular Rolling Shutter Localization. IEEE Trans. Vis. Comput. Graph. 28(5): 2201-2211 (2022) - [c71]Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Highlights of semantics in multi-objective genetic programming. GECCO Companion 2022: 19-20 - [i5]Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Highlights of Semantics in Multi-objective Genetic Programming. CoRR abs/2206.05010 (2022) - 2021
- [j57]Dalia Andrea Rodríguez, Arnoldo Díaz-Ramírez, Jesús Elías Miranda-Vega, Leonardo Trujillo, Pedro Mejía-Alvarez:
A Systematic Review of Computer Science Solutions for Addressing Violence Against Women and Children. IEEE Access 9: 114622-114639 (2021) - [j56]Noelia Torres, Leonardo Trujillo, Yazmín Maldonado, Carlos Vera:
Correction of the travel time estimation for ambulances of the red cross Tijuana using machine learning. Comput. Biol. Medicine 137: 104798 (2021) - [j55]Leonardo Trujillo, Omar M. Villanueva, Daniel Eduardo Hernandez:
A Novel Approach For Search-Based Program Repair. IEEE Softw. 38(4): 36-42 (2021) - [c70]Mario García Valdez, Rene Márquez Valenzuela, Leonardo Trujillo, Juan Julián Merelo:
Random Selection of Parameters in Asynchronous Pool-Based Evolutionary Algorithms. CEC 2021: 2531-2538 - [c69]Leonardo Trujillo, Paul Banse, Guillaume Beslon:
Simulating short- and long-term evolutionary dynamics on rugged landscapes. ALIFE 2021: 75 - [i4]Nuno M. Rodrigues, João E. Batista, Leonardo Trujillo, Bernardo Duarte, Mario Giacobini, Leonardo Vanneschi, Sara Silva:
Plotting time: On the usage of CNNs for time series classification. CoRR abs/2102.04179 (2021) - [i3]Edgar Galván, Leonardo Trujillo, Fergal Stapleton:
Semantics in Multi-objective Genetic Programming. CoRR abs/2105.02944 (2021) - [i2]Leonardo Trujillo, Jose Manuel Muñoz Contreras, Daniel E. Hernández, Mauro Castelli, Juan J. Tapia:
GSGP-CUDA - a CUDA framework for Geometric Semantic Genetic Programming. CoRR abs/2106.04034 (2021) - 2020
- [j54]Emigdio Z.-Flores, Leonardo Trujillo, Pierrick Legrand, Frédérique Faïta-Aïnseba:
EEG Feature Extraction Using Genetic Programming for the Classification of Mental States. Algorithms 13(9): 221 (2020) - [j53]Leonardo Trujillo, Guadalupe Álvarez-Hernández, Yazmín Maldonado, Carlos Vera:
Comparative analysis of relocation strategies for ambulances in the city of Tijuana, Mexico. Comput. Biol. Medicine 116: 103567 (2020) - [j52]Josué Enríquez-Zárate, Perla Juárez-Smith, Javier Carmona, Leonardo Trujillo, Salvador de Lara:
Modelling the vibration response of a gas turbine using machine learning. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j51]Víctor R. López-López, Lizbeth Escobedo, Leonardo Trujillo:
Towards an automatic coding of observational studies: Coding neurofeedback therapies of children with autism. Expert Syst. J. Knowl. Eng. 37(5) (2020) - [j50]Anna Isabel Esparcia-Alcázar, Leonardo Trujillo:
Special Issue on Integrating numerical optimization methods with genetic programming. Genet. Program. Evolvable Mach. 21(3): 469-470 (2020) - [j49]Luis Muñoz, Leonardo Trujillo, Sara Silva:
Transfer learning in constructive induction with Genetic Programming. Genet. Program. Evolvable Mach. 21(4): 529-569 (2020) - [j48]Leonardo Trujillo, Uriel López, Pierrick Legrand:
SOAP: Semantic outliers automatic preprocessing. Inf. Sci. 526: 86-101 (2020) - [j47]Leonardo Trujillo, Ernesto Álvarez González, Edgar Galván, Juan J. Tapia, Antonin Ponsich:
On the analysis of hyper-parameter space for a genetic programming system with iterated F-Race. Soft Comput. 24(19): 14757-14770 (2020) - [j46]Darian Reyes Fernández de Bulnes, Yazmín Maldonado, Leonardo Trujillo:
Development of Multiobjective High-Level Synthesis for FPGAs. Sci. Program. 2020: 7095048:1-7095048:25 (2020) - [c68]Leonardo Vanneschi, Mauro Castelli, Luca Manzoni, Sara Silva, Leonardo Trujillo:
Is k Nearest Neighbours Regression Better Than GP? EuroGP 2020: 244-261 - [c67]Enrique Naredo, Conor Ryan, Ivan Guevara, Tiziana Margaria, Paulo Urbano, Leonardo Trujillo:
General controllers evolved through grammatical evolution with a divergent search. GECCO Companion 2020: 243-244 - [c66]Uriel López, Leonardo Trujillo, Sara Silva, Leonardo Vanneschi, Pierrick Legrand:
Unlabeled multi-target regression with genetic programming. GECCO 2020: 976-984 - [c65]Omar M. Villanueva, Leonardo Trujillo, Daniel E. Hernández:
Novelty search for automatic bug repair. GECCO 2020: 1021-1028 - [e2]Wolfgang Banzhaf, Erik D. Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel:
Genetic Programming Theory and Practice XVII [GPTP 2019, Michigan State University, East Lansing, Michigan, USA, May 16-19, 2019]. Springer 2020, ISBN 978-3-030-39957-3 [contents]
2010 – 2019
- 2019
- [j45]Perla Juárez-Smith, Leonardo Trujillo, Mario García Valdez, Francisco Fernández de Vega, Francisco Chávez de la O:
Local search in speciation-based bloat control for genetic programming. Genet. Program. Evolvable Mach. 20(3): 351-384 (2019) - [j44]Luis Muñoz, Leonardo Trujillo, Sara Silva, Mauro Castelli, Leonardo Vanneschi:
Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Comput. 11(2): 111-126 (2019) - [j43]José Alejandro Galaviz-Aguilar, Patrick Roblin, José Ricardo Cárdenas-Valdez, Emigdio Z.-Flores, Leonardo Trujillo, José-Cruz Nuñez Pérez, Oliver Schütze:
Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation. Soft Comput. 23(7): 2463-2481 (2019) - [j42]Víctor R. López-López, Leonardo Trujillo, Pierrick Legrand:
Applying genetic improvement to a genetic programming library in C++. Soft Comput. 23(22): 11593-11609 (2019) - [j41]Jose Enrique Hernandez-Beltran, Víctor H. Díaz-Ramírez, Leonardo Trujillo, Pierrick Legrand:
Design of estimators for restoration of images degraded by haze using genetic programming. Swarm Evol. Comput. 44: 49-63 (2019) - [j40]Leonardo Vanneschi, Mauro Castelli, Kristen M. Scott, Leonardo Trujillo:
Alignment-based genetic programming for real life applications. Swarm Evol. Comput. 44: 840-851 (2019) - 2018
- [j39]Leonardo Trujillo, Arnaud Meyroneinc, Kilver Campos, Otto Rendón, Leonardo Di G. Sigalotti:
Autonomous choices among deterministic evolution-laws as source of uncertainty. Commun. Nonlinear Sci. Numer. Simul. 56: 405-418 (2018) - [j38]Stefano Beretta, Mauro Castelli, Luis Muñoz, Leonardo Trujillo, Yuliana Martínez, Ales Popovic, Luciano Milanesi, Ivan Merelli:
A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP. Complex. 2018: 4963139:1-4963139:13 (2018) - [j37]Josué Enríquez-Zárate, Leonardo Trujillo, G. K. Toledo-Ramírez, Ángel J. Ramos-Cirilo, Carlos Hernández:
Optimization of PPF Control of a Building-like Structure for Vibration Control. Computación y Sistemas 22(2) (2018) - [j36]Leonardo Trujillo, Yazmín Maldonado, Oliver Schuetze:
Editorial. Computación y Sistemas 22(2) (2018) - [j35]Noelia Torres, Leonardo Trujillo, Yazmín Maldonado:
Modeling Uncertainty for the Double Standard Model Using a Fuzzy Inference System. Frontiers Robotics AI 5: 31 (2018) - [j34]Francisco Chávez de la O, Francisco Fernández de Vega, Daniel Lanza, César Benavides-Álvarez, Juan Villegas-Cortéz, Leonardo Trujillo, Gustavo Olague, Graciela Román-Alonso:
Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. Int. J. High Perform. Comput. Appl. 32(5): 706-720 (2018) - [c64]Juan Carlos Dibene, Kenia Picos, Víctor H. Díaz-Ramírez, Leonardo Trujillo:
Estimation of the 3D Pose of an Object Using Correlation Filters and CMA-ES. EvoApplications 2018: 506-520 - [c63]Víctor R. López-López, Leonardo Trujillo, Pierrick Legrand:
Novelty search for software improvement of a SLAM system. GECCO (Companion) 2018: 1598-1605 - [c62]Leonardo Trujillo, Luis Muñoz, Uriel López, Daniel E. Hernández:
Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal. GPTP 2018: 193-207 - [c61]Uriel López, Leonardo Trujillo, Pierrick Legrand:
Filtering Outliers in One Step with Genetic Programming. PPSN (1) 2018: 209-222 - 2017
- [j33]Darian Reyes Fernández de Bulnes, Juan Carlos Dibene, Yazmín Maldonado, Leonardo Trujillo:
High-Level Synthesis through metaheuristics and LUTs optimization in FPGA devices. AI Commun. 30(2): 151-168 (2017) - [j32]Josué Enríquez-Zárate, Leonardo Trujillo, Salvador de Lara, Mauro Castelli, Emigdio Z.-Flores, Luis Muñoz, Ales Popovic:
Automatic modeling of a gas turbine using genetic programming: An experimental study. Appl. Soft Comput. 50: 212-222 (2017) - [j31]Juan Carlos Dibene, Yazmín Maldonado, Carlos Vera, Maurício C. de Oliveira, Leonardo Trujillo, Oliver Schütze:
Optimizing the location of ambulances in Tijuana, Mexico. Comput. Biol. Medicine 80: 107-115 (2017) - [j30]Mauro Castelli, Leonardo Vanneschi, Leonardo Trujillo, Ales Popovic:
Stock index return forecasting: semantics-based genetic programming with local search optimiser. Int. J. Bio Inspired Comput. 10(3): 159-171 (2017) - [j29]Mauro Castelli, Ivo Gonçalves, Leonardo Trujillo, Ales Popovic:
An evolutionary system for ozone concentration forecasting. Inf. Syst. Frontiers 19(5): 1123-1132 (2017) - [j28]Mauro Castelli, Raul Sormani, Leonardo Trujillo, Ales Popovic:
Predicting per capita violent crimes in urban areas: an artificial intelligence approach. J. Ambient Intell. Humaniz. Comput. 8(1): 29-36 (2017) - [j27]Yuliana Martínez, Enrique Naredo, Leonardo Trujillo, Pierrick Legrand, Uriel López:
A comparison of fitness-case sampling methods for genetic programming. J. Exp. Theor. Artif. Intell. 29(6): 1203-1224 (2017) - [j26]Enrique Naredo, Paulo Urbano, Leonardo Trujillo:
The training set and generalization in grammatical evolution for autonomous agent navigation. Soft Comput. 21(15): 4399-4416 (2017) - [c60]Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
On the Use of Dynamic GP Fitness Cases in Static and Dynamic Optimisation Problems. Artificial Evolution 2017: 72-87 - [c59]Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo, Mauro Castelli, Ivo Gonçalves, Leonardo Vanneschi:
Towards the development of a complete GP system on an FPGA using geometric semantic operators. CEC 2017: 1932-1939 - [c58]Uriel López, Leonardo Trujillo, Yuliana Martínez, Pierrick Legrand, Enrique Naredo, Sara Silva:
RANSAC-GP: Dealing with Outliers in Symbolic Regression with Genetic Programming. EuroGP 2017: 114-130 - [c57]Edgar Galván López, Lucia Vázquez-Mendoza, Marc Schoenauer, Leonardo Trujillo:
Dynamic GP fitness cases in static and dynamic optimisation problems. GECCO (Companion) 2017: 227-228 - [e1]Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmín Maldonado:
NEO 2015 - Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Studies in Computational Intelligence 663, Springer 2017, ISBN 978-3-319-44002-6 [contents] - 2016
- [j25]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Ales Popovic:
Prediction of relative position of CT slices using a computational intelligence system. Appl. Soft Comput. 46: 537-542 (2016) - [j24]Víctor R. López-López, Leonardo Trujillo, Pierrick Legrand, Víctor H. Díaz-Ramírez, Gustavo Olague:
Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM. Computación y Sistemas 20(4) (2016) - [j23]Enrique Naredo, Miguel Aurelio Duarte-Villaseñor, Manuel de Jesús García Ortega, Carlos E. Vázquez López, Leonardo Trujillo, Oscar S. Siordia:
Novelty Search for the Synthesis of Current Followers. Computación y Sistemas 20(4) (2016) - [j22]Yuliana Martínez, Leonardo Trujillo, Pierrick Legrand, Edgar Galván López:
Prediction of expected performance for a genetic programming classifier. Genet. Program. Evolvable Mach. 17(4): 409-449 (2016) - [j21]Leonardo Trujillo, Luis Muñoz, Edgar Galván López, Sara Silva:
neat Genetic Programming: Controlling bloat naturally. Inf. Sci. 333: 21-43 (2016) - [j20]Enrique Naredo, Leonardo Trujillo, Pierrick Legrand, Sara Silva, Luis Muñoz:
Evolving genetic programming classifiers with novelty search. Inf. Sci. 369: 347-367 (2016) - [c56]Francisco Chávez de la O, Francisco Fernández, César Benavides-Álvarez, Daniel Lanza, Juan Villegas-Cortéz, Leonardo Trujillo, Gustavo Olague, Graciela Román-Alonso:
ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms. EvoApplications (2) 2016: 91-106 - [c55]Perla Juárez-Smith, Leonardo Trujillo:
Integrating Local Search within neat-GP. GECCO (Companion) 2016: 993-996 - [c54]Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo:
Random Tree Generator for an FPGA-based Genetic Programming System. GECCO (Companion) 2016: 1023-1026 - [c53]Víctor R. López-López, Leonardo Trujillo, Pierrick Legrand, Gustavo Olague:
Genetic Programming: From Design to Improved Implementation. GECCO (Companion) 2016: 1147-1154 - [c52]Leonardo Trujillo, Emigdio Z.-Flores, Perla S. Juárez-Smith, Pierrick Legrand, Sara Silva, Mauro Castelli, Leonardo Vanneschi, Oliver Schütze, Luis Muñoz:
Local Search is Underused in Genetic Programming. GPTP 2016: 119-137 - [c51]Angel Pozos, Edgar Castillo, Miguel Chavez, Leonardo Trujillo:
Modeling micro-channel plates as astronomical detectors of UV radiation. CCE 2016: 1-6 - [c50]Mauro Castelli, Luca Manzoni, Ivo Gonçalves, Leonardo Vanneschi, Leonardo Trujillo, Sara Silva:
An Analysis of Geometric Semantic Crossover: A Computational Geometry Approach. IJCCI (ECTA) 2016: 201-208 - [c49]Edgar Galván López, Lucia Vázquez-Mendoza, Leonardo Trujillo:
Stochastic Semantic-Based Multi-objective Genetic Programming Optimisation for Classification of Imbalanced Data. MICAI (2) 2016: 261-272 - [c48]Stefano Beretta, Mauro Castelli, Yuliana Martínez, Luis Muñoz, Sara Silva, Leonardo Trujillo, Luciano Milanesi, Ivan Merelli:
A Machine Learning Approach for the Integration of miRNA-Target Predictions. PDP 2016: 528-534 - 2015
- [j19]R. C. Gutiérrez-Urquídez, Guillermo Valencia-Palomo, Oscar M. Rodríguez-Elias, Leonardo Trujillo:
Systematic selection of tuning parameters for efficient predictive controllers using a multiobjective evolutionary algorithm. Appl. Soft Comput. 31: 326-338 (2015) - [j18]Laurent Vezard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba, Leonardo Trujillo:
EEG classification for the detection of mental states. Appl. Soft Comput. 32: 113-131 (2015) - [j17]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi:
Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer. Comput. Intell. Neurosci. 2015: 971908:1-971908:8 (2015) - [j16]Leonardo Trujillo:
Kenneth O. Stanley and Joel Lehman: Why greatness cannot be planned: the myth of the objective - Springer, 2015, Softcover, ISBN: 978-3-319-15523-4. Genet. Program. Evolvable Mach. 16(4): 559-561 (2015) - [j15]Mario García Valdez, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega, Gustavo Olague:
The EvoSpace Model for Pool-Based Evolutionary Algorithms. J. Grid Comput. 13(3): 329-349 (2015) - [c47]Sergio Morales Pacheco, Oliver Schütze, Carlos Vera, Leonardo Trujillo, Yazmín Maldonado:
Solving the ambulance location problem in Tijuana-Mexico using a continuous location model. CEC 2015: 2631-2638 - [c46]Luis Muñoz, Sara Silva, Leonardo Trujillo:
M3GP - Multiclass Classification with GP. EuroGP 2015: 78-91 - [c45]Mauro Castelli, Leonardo Trujillo, Leonardo Vanneschi, Sara Silva, Emigdio Z.-Flores, Pierrick Legrand:
Geometric Semantic Genetic Programming with Local Search. GECCO 2015: 999-1006 - [c44]Emigdio Z.-Flores, Leonardo Trujillo, Oliver Schütze, Pierrick Legrand:
A Local Search Approach to Genetic Programming for Binary Classification. GECCO 2015: 1151-1158 - [c43]Edgar Galván López, Marc Schoenauer, Constantinos Patsakis, Leonardo Trujillo:
Demand-Side Management: Optimising Through Differential Evolution Plug-in Electric Vehicles to Partially Fulfil Load Demand. IJCCI (Selected Papers) 2015: 155-174 - [c42]José Ricardo Cárdenas-Valdez, Emigdio Z.-Flores, José-Cruz Nuñez Pérez, Leonardo Trujillo:
Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA. NEO 2015: 67-88 - [c41]Carlos A. Goribar Jiménez, Yazmín Maldonado, Leonardo Trujillo:
Automatic Random Tree Generator on FPGA. NEO 2015: 89-104 - [c40]Daniel Lanza, Franciso de la O. Chávez, Francisco Fernández, Mario García Valdez, Leonardo Trujillo, Gustavo Olague:
Profiting from Several Recommendation Algorithms Using a Scalable Approach. NEO 2015: 357-375 - [c39]Juan Carlos Dibene, Yazmín Maldonado, Carlos Vera, Leonardo Trujillo, Maurício C. de Oliveira, Oliver Schütze:
The Ambulance Location Problem in Tijuana, Mexico. NEO 2015: 409-441 - 2014
- [j14]José Parra Galaviz, Leonardo Trujillo, Patricia Melin:
Hybrid back-propagation training with evolutionary strategies. Soft Comput. 18(8): 1603-1614 (2014) - [c38]Leonardo Trujillo, Luis Muñoz, Enrique Naredo, Yuliana Martínez:
NEAT, There's No Bloat. EuroGP 2014: 174-185 - [c37]Mario García Valdez, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary Algorithm. PPSN 2014: 702-710 - [c36]Paulo Urbano, Enrique Naredo, Leonardo Trujillo:
Generalization in Maze Navigation Using Grammatical Evolution and Novelty Search. TPNC 2014: 35-46 - 2013
- [j13]Arturo Sotelo, Enrique Guijarro, Leonardo Trujillo, Luis N. Coria, Yuliana Martínez:
Identification of epilepsy stages from ECoG using genetic programming classifiers. Comput. Biol. Medicine 43(11): 1713-1723 (2013) - [j12]Francisco Fernández de Vega, Gustavo Olague, Leonardo Trujillo, Daniel Lombraña Gonzalez:
Customizable execution environments for evolutionary computation using BOINC + virtualization. Nat. Comput. 12(2): 163-177 (2013) - [c35]Yuliana Martínez, Enrique Naredo, Leonardo Trujillo, Edgar Galván López:
Searching for novel regression functions. IEEE Congress on Evolutionary Computation 2013: 16-23 - [c34]Laurent Vezard, Marie Chavent, Pierrick Legrand, Frédérique Faïta-Aïnseba, Leonardo Trujillo:
Detecting mental states of alertness with genetic algorithm variable selection. IEEE Congress on Evolutionary Computation 2013: 1247-1254 - [c33]Mario García Valdez, Alejandra Mancilla, Leonardo Trujillo, Juan Julián Merelo Guervós, Francisco Fernández de Vega:
Is there a free lunch for cloud-based evolutionary algorithms? IEEE Congress on Evolutionary Computation 2013: 1255-1262 - [c32]Leonardo Trujillo, Mario García Valdez, Francisco Fernández de Vega, Juan Julián Merelo Guervós:
Fireworks: Evolutionary art project based on EvoSpace-interactive. IEEE Congress on Evolutionary Computation 2013: 2871-2878 - [c31]Edgar Galván López, Brendan Cody-Kenny, Leonardo Trujillo, Ahmed Kattan:
Using semantics in the selection mechanism in Genetic Programming: A simple method for promoting semantic diversity. IEEE Congress on Evolutionary Computation 2013: 2972-2979 - [c30]Enrique Naredo, Leonardo Trujillo, Yuliana Martínez:
Searching for Novel Classifiers. EuroGP 2013: 145-156 - [c29]Mario García Valdez, Leonardo Trujillo, Francisco Fernández de Vega, Juan Julián Merelo Guervós, Gustavo Olague:
EvoSpace-Interactive: A Framework to Develop Distributed Collaborative-Interactive Evolutionary Algorithms for Artistic Design. EvoMUSART 2013: 121-132 - [c28]Mario García Valdez, Leonardo Trujillo, Francisco Fernández de Vega, Juan Julián Merelo Guervós, Gustavo Olague:
EvoSpace: A Distributed Evolutionary Platform Based on the Tuple Space Model. EvoApplications 2013: 499-508 - [c27]Leonardo Trujillo, Lee Spector, Enrique Naredo, Yuliana Martínez:
A behavior-based analysis of modal problems. GECCO (Companion) 2013: 1047-1054 - [c26]Enrique Naredo, Leonardo Trujillo:
Searching for novel clustering programs. GECCO 2013: 1093-1100 - [c25]Mario García Valdez, Juan Julián Merelo Guervós, Leonardo Trujillo, Francisco Fernández de Vega, José C. Romero, Alejandra Mancilla:
EvoSpace-i: a framework for interactive evolutionary algorithms. GECCO (Companion) 2013: 1301-1308 - 2012
- [j11]Gustavo Olague, Leonardo Trujillo:
Interest point detection through multiobjective genetic programming. Appl. Soft Comput. 12(8): 2566-2582 (2012) - [j10]Leonardo Trujillo, Pierrick Legrand, Gustavo Olague, Jacques Lévy Véhel:
Evolving estimators of the pointwise Hölder exponent with Genetic Programming. Inf. Sci. 209: 61-79 (2012) - [j9]Leonardo Di G. Sigalotti, Franklin Peña-Polo, Leonardo Trujillo:
An image analysis procedure for measuring the surface tension of pendant micro-drops. J. Comput. Methods Sci. Eng. 12(4-6): 371-382 (2012) - [c24]Edgar Galván López, Leonardo Trujillo, James McDermott, Ahmed Kattan:
Locality in Continuous Fitness-Valued Cases and Genetic Programming Difficulty. EVOLVE 2012: 41-56 - [c23]Arturo Sotelo, Enrique Guijarro, Leonardo Trujillo, Luis N. Coria, Yuliana Martínez:
Analysis and Classification of Epilepsy Stages with Genetic Programming. EVOLVE 2012: 57-70 - [c22]Enrique Naredo, Enrique Dunn, Leonardo Trujillo:
Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming. EVOLVE 2012: 71-86 - [c21]Laurent Vezard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba, Julien Clauzel, Leonardo Trujillo:
Classification of EEG Signals by an Evolutionary Algorithm. EGC (best of volume) 2012: 133-153 - [c20]Leonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand:
A comparative study of an evolvability indicator and a predictor of expected performance for genetic programming. GECCO (Companion) 2012: 1489-1490 - 2011
- [j8]Gustavo Olague, Leonardo Trujillo:
Evolutionary-computer-assisted design of image operators that detect interest points using genetic programming. Image Vis. Comput. 29(7): 484-498 (2011) - [j7]Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernández de Vega, León Dozal, Eddie Clemente:
Speciation in Behavioral Space for Evolutionary Robotics. J. Intell. Robotic Syst. 64(3-4): 323-351 (2011) - [j6]Leonardo Trujillo:
Genetic programming with one-point crossover and subtree mutation for effective problem solving and bloat control. Soft Comput. 15(8): 1551-1567 (2011) - [c19]Leonardo Trujillo, Sara Silva, Pierrick Legrand, Leonardo Vanneschi:
An Empirical Study of Functional Complexity as an Indicator of Overfitting in Genetic Programming. EuroGP 2011: 262-273 - [c18]Leonardo Trujillo, Yuliana Martínez, Patricia Melin:
Estimating Classifier Performance with Genetic Programming. EuroGP 2011: 274-285 - [c17]Leonardo Trujillo, Yuliana Martínez, Patricia Melin:
How many neurons?: a genetic programming answer. GECCO (Companion) 2011: 175-176 - [c16]Leonardo Trujillo, Yuliana Martínez, Edgar Galván López, Pierrick Legrand:
Predicting problem difficulty for genetic programming applied to data classification. GECCO 2011: 1355-1362 - 2010
- [c15]