Genetic Programming Bibliography entries for Hugo Jair Escalante

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GP coauthors/coeditors: Niusvel Acosta-Mendoza, Alicia Morales-Reyes, Andres Gago Alonso, Karlo Mario Mendoza Mendoza, Mario Graff Guerrero, Mauricio Garcia-Limon, Manuel Montes-y-Gomez, Eduardo F Morales, Jose Martinez-Carranza, Jose Martinez-Carraza, Sergio Escalera, Victor Ponce-Lopez, Xavier Baro, Manuel Montes, Alicia Morales, Eric Sadit Tellez, Jose Ortiz Bejar, Sabino Miranda-Jimenez, Fernando Ornelas-Tellez, Luis Villasenor Pineda, Jose Maria Valencia-Ramirez, J A Raya, J R Cedeno, Ranyart Rodrigo Suarez, Jamie Cerda,

Genetic Programming Articles by Hugo Jair Escalante

  1. Mario Graff and Hugo Jair Escalante and Fernando Ornelas-Tellez and Eric Sadit Tellez. Time series forecasting with genetic programming. Natural Computing, 16(1):165-174, 2017. details

  2. Jose Maria Valencia-Ramirez and Mario Graff and Hugo Jair Escalante and Jaime Cerda-Jacobo. An iterative genetic programming approach to prototype generation. Genetic Programming and Evolvable Machines, 18(2):123-147, 2017. details

  3. Hugo Jair Escalante and Mario Graff and Alicia Morales-Reyes. PGGP: Prototype Generation via Genetic Programming. Applied Soft Computing, 40:569-580, 2016. details

  4. Hugo Jair Escalante and Mauricio A. Garcia-Limon and Alicia Morales-Reyes and Mario Graff and Manuel Montes-y-Gomez and Eduardo F. Morales and Jose Martinez-Carranza. Term-weighting learning via genetic programming for text classification. Knowledge-Based Systems, 83:176-189, 2015. details

  5. Niusvel Acosta-Mendoza and Alicia Morales-Reyes and Hugo Jair Escalante and Andres Gago Alonso. Learning to Assemble Classifiers via Genetic Programming. IJPRAI, 28(7) 2014. details

Genetic Programming conference papers by Hugo Jair Escalante

  1. Mario Graff and Eric S. Tellez and Sabino Miranda-Jimenez and Hugo Jair Escalante. EvoDAG: A semantic Genetic Programming Python library. In Jaime Cerda Jacobo editor, 2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), Ixtapa, Vicente Guerrero, Mexico, 2016. IEEE. details

  2. Mauricio Garcia Limon and Hugo Jair Escalante and Eduardo Morales and Luis Villasenor Pineda. Class-specific feature generation for 1NN through genetic programming. In 2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2015. details

  3. Mario Graff and Eric S. Tellez and Hugo Jair Escalante and Jose Ortiz-Bejar. Memetic Genetic Programming based on orthogonal projections in the phenotype space. In 2015 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2015. details

  4. Mario Graff and Eric S. Tellez and Hugo Jair Escalante and Sabino Miranda-Jimenez. Semantic Genetic Programming for Sentiment Analysis. In Oliver Schuetze and Leonardo Trujillo and Pierrick Legrand and Yazmin Maldonado editors, NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico, volume 663, pages 43-65, 2015. Springer. details

  5. Hugo Jair Escalante and Jose Martinez-Carraza and Sergio Escalera and Victor Ponce-Lopez and Xavier Baro. Improving bag of visual words representations with genetic programming. In 2015 International Joint Conference on Neural Networks (IJCNN), 2015. details

  6. J. M. Valencia-Ramirez and J. A. Raya and J. R. Cedeno and R. R. Suarez and H. J. Escalante and M. Graff. Comparison between Genetic Programming and full model selection on classification problems. In IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2014), 2014. details

  7. Mauricio Garcia and Hugo J. Escalante and Manuel Montes and Alicia Morales and Eduardo Morales. Towards the automated generation of term-weighting schemes for text categorization. In Dirk Sudholt editor, GECCO 2014 Late breaking abstracts workshop, pages 1459-1460, Vancouver, BC, Canada, 2014. ACM. details

  8. Mauricio Garcia Limon and Hugo Jair Escalante and Eduardo F. Morales. Towards simultaneous prototype and Feature Generation. In IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2014), 2014. details

  9. Mauricio Garcia-Limon and Hugo Jair Escalante and Eduardo Morales and Alicia Morales-Reyes. Simultaneous generation of prototypes and features through genetic programming. In Christian Igel and Dirk V. Arnold and Christian Gagne and Elena Popovici and Anne Auger and Jaume Bacardit and Dimo Brockhoff and Stefano Cagnoni and Kalyanmoy Deb and Benjamin Doerr and James Foster and Tobias Glasmachers and Emma Hart and Malcolm I. Heywood and Hitoshi Iba and Christian Jacob and Thomas Jansen and Yaochu Jin and Marouane Kessentini and Joshua D. Knowles and William B. Langdon and Pedro Larranaga and Sean Luke and Gabriel Luque and John A. W. McCall and Marco A. Montes de Oca and Alison Motsinger-Reif and Yew Soon Ong and Michael Palmer and Konstantinos E. Parsopoulos and Guenther Raidl and Sebastian Risi and Guenther Ruhe and Tom Schaul and Thomas Schmickl and Bernhard Sendhoff and Kenneth O. Stanley and Thomas Stuetzle and Dirk Thierens and Julian Togelius and Carsten Witt and Christine Zarges editors, GECCO '14: Proceedings of the 2014 conference on Genetic and evolutionary computation, pages 517-524, Vancouver, BC, Canada, 2014. ACM. details

  10. Hugo Jair Escalante and Karlo Mendoza and Mario Graff and Alicia Morales-Reyes. Genetic Programming of Prototypes for Pattern Classification. In Joao M. Sanches and Luisa Mico and Jaime S. Cardoso editors, Proceedings of the 6th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2013, volume 7887, pages 100-107, Funchal, Madeira, Portugal, 2013. Springer. details

  11. Hugo Jair Escalante and Niusvel Acosta-Mendoza and Alicia Morales-Reyes and Andres Gago Alonso. Genetic Programming of Heterogeneous Ensembles for Classification. In Jose Ruiz-Shulcloper and Gabriella Sanniti di Baja editors, Proceedings of the 18th Iberoamerican Congress on Image Analysis, Computer Vision, and Applications (CIARP 2013) Part I, volume 8258, pages 9-16, Havana, Cuba, 2013. Springer. details