Genetic Programming Bibliography entries for Maria Jose del Jesus

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.4333

GP coauthors/coeditors: Francisco Jose Berlanga, Francisco Herrera, Maria Jose Gacto, Antonio Jesus Rivera Rivas, Cristobal Jose Carmona del Jesus, Pedro Gonzalez Garcia, Victor Ruiz-Rodado, A Weber, Martin Grootveld, Pedro Gonzalez Espejo, David Elizondo, Alberto Fernandez, Victoria Lopez Morales, Jose Maria Luna, Mykola Pechenizkiy, Sebastian Ventura, Maria Dolores Perez-Godoy,

Genetic Programming Articles by Maria Jose del Jesus

  1. Jose Maria Luna and Mykola Pechenizkiy and Maria Jose del Jesus and Sebastian Ventura. Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming. IEEE Transactions on Cybernetics, 2018. details

  2. C. J. Carmona and V. Ruiz-Rodado and M. J. del Jesus and A. Weber and M. Grootveld and P. Gonzalez and D. Elizondo. A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. Information Sciences, 298:180-197, 2015. details

  3. Victoria Lopez and Alberto Fernandez and Maria Jose del Jesus and Francisco Herrera. A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowledge-Based Systems, 38:85-104, 2013. Special Issue on Advances in Fuzzy Knowledge Systems: Theory and Application. details

  4. F. J. Berlanga and A. J. Rivera and M. J. del Jesus and F. Herrera. GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems. Information Sciences, 180(8):1183-1200, 2010. details

Genetic Programming conference papers by Maria Jose del Jesus

  1. Cristobal J. Carmona and Pedro Gonzalez and Maria Jose del Jesus. FuGePSD: Fuzzy Genetic Programming-based algorithm for Subgroup Discovery. In Jose M. Alonso and Humberto Bustince and Marek Reformat editors, 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), pages 448-454, Gijon, Spain, 2015. Atlantis Press. details

  2. Maria Dolores Perez-Godoy and Antonio J. Rivera and Cristobal J. Carmona and Maria Jose del Jesus. A preliminary study on mutation operators in cooperative competitive algorithms for RBFN design. In International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, 2010. IEEE Press. details

  3. Alberto Fernandez and Francisco Jose Berlanga and Maria Jose del Jesus and Francisco Herrera. Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. In Jo\~ao Paulo Carvalho and Didier Dubois and Uzay Kaymak and Jo\~ao Miguel da Costa Sousa editors, Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, pages 42-47, Lisbon, Portugal, 2009. details

  4. Francisco Jose Berlanga and Maria Jose del Jesus and Francisco Herrera. A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems. In 3rd International Workshop on Genetic and Evolving Fuzzy Systems, GEFS 2008, pages 101-106, Witten-Boommerholz, Germany, 2008. details

  5. F. J. Berlanga and M. J. del Jesus and M. J. Gacto and F. Herrera. A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. In Leszek Rutkowski and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek Zurada editors, Proceedings 8th International Conference on Artificial Intelligence and Soft Computing ICAISC, volume 4029, pages 182-191, Zakopane, Poland, 2006. Springer-Verlag. details

  6. Francisco Jose Berlanga and Maria Jose Del Jesus and Francisco Herrera. Learning fuzzy rules using Genetic Programming: Context-free grammar definition for high-dimensionality problems. In Oscar Cordon and Francisco Herrera editors, International workshop on Genetic Fuzzy System, GFS 2005, 2005. details