Genetic Programming Bibliography entries for Luis Munoz Delgado

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GP coauthors/coeditors: Stefano Beretta, Mauro Castelli, Yuliana Martinez, Sara Silva, Leonardo Trujillo, Luciano Milanesi, Ivan Merelli, Ales Popovic, Josue Enriquez-Zarate, Salvador de Lara, Emigdio Z-Flores, Leonardo Vanneschi, Enrique Naredo, Pierrick Legrand, Adrian Rodriguez Aguinaga, Victor Raul Lopez Lopez, Andres Calvillo Tellez, Vijay Ingalalli, Edgar Galvan Lopez, Perla Sarahi Juarez-Smith, Oliver Schuetze, Uriel Lopez, Daniel Eduardo Hernandez Morales, Joel Nation,

Genetic Programming Articles by Luis Munoz Delgado

  1. Leonardo Trujillo and Joel Nation and Luis Munoz and Edgar Galvan. Predicting the success of transfer learning for genetic programming using DeepInsight feature space alignment. AI Commun., 36(3):159-173, 2023. details

  2. Adrian Rodriguez Aguinaga and Luis Munoz Delgado and Victor Raul Lopez-Lopez and Andres Calvillo Tellez. EEG-Based Emotion Recognition Using Deep Learning and M3GP. Applied Sciences, 12(5):Article No. 2527, 2022. details

  3. Luis Munoz and Leonardo Trujillo and Sara Silva. Transfer learning in constructive induction with Genetic Programming. Genetic Programming and Evolvable Machines, 21(4):529-569, 2020. details

  4. Luis Munoz and Leonardo Trujillo and Sara Silva and Mauro Castelli and Leonardo Vanneschi. Evolving multidimensional transformations for symbolic regression with M3GP. Memetic Computing, 11(2):111-126, 2019. details

  5. Stefano Beretta and Mauro Castelli and Luis Munoz and Leonardo Trujillo and Yuliana Martinez and Ales Popovic and Luciano Milanesi and Ivan Merelli. A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP. Complexity, 2018:Article ID 4963139, 2018. details

  6. Josue Enriquez-Zarate and Leonardo Trujillo and Salvador de Lara and Mauro Castelli and Emigdio Z-Flores and Luis Munoz and Ales Popovic. Automatic modeling of a gas turbine using genetic programming: An experimental study. Applied Soft Computing, 50:212-222, 2017. details

  7. Leonardo Trujillo and Luis Munoz and Edgar Galvan-Lopez and Sara Silva. neat Genetic Programming: Controlling Bloat Naturally. Information Sciences, 333:21-43, 2016. details

  8. Enrique Naredo and Leonardo Trujillo and Pierrick Legrand and Sara Silva and Luis Munoz. Evolving genetic programming classifiers with novelty search. Information Sciences, 369:347-367, 2016. details

Genetic Programming conference papers by Luis Munoz Delgado

  1. Leonardo Trujillo and Luis Munoz and Uriel Lopez and Daniel E. Hernandez. Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal. In Wolfgang Banzhaf and Lee Spector and Leigh Sheneman editors, Genetic Programming Theory and Practice XVI, pages 193-207, Ann Arbor, USA, 2018. Springer. details

  2. Leonardo Trujillo and Emigdio Z-Flores and Perla S. Juarez Smith and Pierrick Legrand and Sara Silva and Mauro Castelli and Leonardo Vanneschi and Oliver Schuetze and Luiz Munoz. Local Search is Underused in Genetic Programming. In William Tozier and Brian W. Goldman and Bill Worzel and Rick Riolo editors, Genetic Programming Theory and Practice XIV, pages 119-137, Ann Arbor, USA, 2016. Springer. details

  3. Leonardo Trujillo and Luis Munoz and Edgar Galvan-Lopez and Sara Silva. neat Genetic Programming: Controlling Bloat Naturally. In Benjamin Doerr and Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO 2016 Hot of the Press, page hop104, Denver, USA, 2016. ACM. details

  4. S. Beretta and M. Castelli and Yuliana Martinez and Luis Munoz and Sara Silva and Leonardo Trujillo and Luciano Milanesi and Ivan Merelli. A Machine Learning Approach for the Integration of miRNA-Target Predictions. In 2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), pages 528-534, 2016. details

  5. Sara Silva and Luis Munoz and Leonardo Trujillo and Vijay Ingalalli and Mauro Castelli and Leonardo Vanneschi. Multiclass Classification Through Multidimensinoal Clustering. In Rick Riolo and William P. Worzel and M. Kotanchek and A. Kordon editors, Genetic Programming Theory and Practice XIII, pages 219-239, Ann Arbor, USA, 2015. Springer. details

  6. Luis Munoz and Sara Silva and Leonardo Trujillo. M3GP: Multiclass Classification with GP. In Penousal Machado and Malcolm I. Heywood and James McDermott and Mauro Castelli and Pablo Garcia-Sanchez and Paolo Burelli and Sebastian Risi and Kevin Sim editors, 18th European Conference on Genetic Programming, volume 9025, pages 78-91, Copenhagen, 2015. Springer. details

  7. Leonardo Trujillo and Luis Munoz and Enrique Naredo and Yuliana Martinez. NEAT, There's No Bloat. In Miguel Nicolau and Krzysztof Krawiec and Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and Juan J. Merelo and Victor M. Rivas Santos and Kevin Sim editors, 17th European Conference on Genetic Programming, volume 8599, pages 174-185, Granada, Spain, 2014. Springer. details