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, Cosijopii Garcia-Garcia, Manuel Montes, Alicia Morales, Eric Sadit Tellez, Jose Ortiz Bejar, Sabino Miranda-Jimenez, Fernando Ornelas-Tellez, Luis Villasenor Pineda, Lino Rodriguez-Coayahuitl, Carlos Artemio Coello Coello, Jose Maria Valencia-Ramirez, J A Raya, J R Cedeno, Ranyart Rodrigo Suarez, Jamie Cerda,

Genetic Programming Articles by Hugo Jair Escalante

  1. Cosijopii Garcia-Garcia and Alicia Morales-Reyes and Hugo Jair Escalante. Continuous Cartesian Genetic Programming based representation for multi-objective neural architecture search. Applied Soft Computing, 147:110788, 2023. details

  2. Lino Rodriguez-Coayahuitl and Alicia Morales-Reyes and Hugo Jair Escalante. Evolving autoencoding structures through genetic programming. Genetic Programming and Evolvable Machines, 20(3):413-440, 2019. details

  3. 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

  4. 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

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

  6. 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

  7. 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. Cosijopii Garcia-Garcia and Alicia Morales-Reyes and Hugo Jair Escalante. Progressive Self-supervised Multi-objective NAS for Image Classification. In Stephen Smith and Joao Correia and Christian Cintrano editors, 27th International Conference, EvoApplications 2024, volume 14635, pages 180-195, Aberystwyth, 2024. Springer. details

  2. Cosijopii Garcia-Garcia and Hugo Escalante and Alicia Morales-Reyes. CGP-NAS: Real-based solutions encoding for multi-objective evolutionary neural architecture search. In Heike Trautmann and Carola Doerr and Alberto Moraglio and Thomas Bartz-Beielstein and Bogdan Filipic and Marcus Gallagher and Yew-Soon Ong and Abhishek Gupta and Anna V Kononova and Hao Wang and Michael Emmerich and Peter A. N. Bosman and Daniela Zaharie and Fabio Caraffini and Johann Dreo and Anne Auger and Konstantin Dietric and Paul Dufosse and Tobias Glasmachers and Nikolaus Hansen and Olaf Mersmann and Petr Posik and Tea Tusar and Dimo Brockhoff and Tome Eftimov and Pascal Kerschke and Boris Naujoks and Mike Preuss and Vanessa Volz and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Mark Coletti and Catherine (Katie) Schuman and Eric ``Siggy'' Scott and Robert Patton and Paul Wiegand and Jeffrey K. Bassett and Chathika Gunaratne and Tinkle Chugh and Richard Allmendinger and Jussi Hakanen and Daniel Tauritz and John Woodward and Manuel Lopez-Ibanez and John McCall and Jaume Bacardit and Alexander Brownlee and Stefano Cagnoni and Giovanni Iacca and David Walker and Jamal Toutouh and UnaMay O'Reilly and Penousal Machado and Joao Correia and Sergio Nesmachnow and Josu Ceberio and Rafael Villanueva and Ignacio Hidalgo and Francisco Fernandez de Vega and Giuseppe Paolo and Alex Coninx and Antoine Cully and Adam Gaier and Stefan Wagner and Michael Affenzeller and Bobby R. Bruce and Vesna Nowack and Aymeric Blot and Emily Winter and William B. Langdon and Justyna Petke and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Paetzel and Alexander Wagner and Michael Heider and Nadarajen Veerapen and Katherine Malan and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Mohammad Nabi Omidvar and Yuan Sun and Ernesto Tarantino and De Falco Ivanoe and Antonio Della Cioppa and Scafuri Umberto and John Rieffel and Jean-Baptiste Mouret and Stephane Doncieux and Stefanos Nikolaidis and Julian Togelius and Matthew C. Fontaine and Serban Georgescu and Francisco Chicano and Darrell Whitley and Oleksandr Kyriienko and Denny Dahl and Ofer Shir and Lee Spector and Alma Rahat and Richard Everson and Jonathan Fieldsend and Handing Wang and Yaochu Jin and Erik Hemberg and Marwa A. Elsayed and Michael Kommenda and William La Cava and Gabriel Kronberger and Steven Gustafson editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, pages 643-646, Boston, USA, 2022. Association for Computing Machinery. details

  3. Lino Rodriguez-Coayahuitl and Alicia Morales-Reyes and Hugo J. Escalante and Carlos A. Coello Coello. Cooperative Co-Evolutionary GP for High Dimensional Problems. In Thomas Baeck and Mike Preuss and Andre Deutz and Hao Wang2 and Carola Doerr and Michael Emmerich and Heike Trautmann editors, 16th International Conference on Parallel Problem Solving from Nature, Part II, volume 12270, pages 48-62, Leiden, Holland, 2020. Springer. details

  4. Lino Alberto Rodriguez Coayahuitl and Alicia Morales Reyes and Hugo Jair Escalante Balderas. A Comparison among Different Levels of Abstraction in Genetic Programming. In Jaime Cerda Jacobo editor, 2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), Ixtapa, Guerrero, Mexico, 2019. IEEE. details

  5. Lino Rodriguez-Coayahuitl and Alicia Morales-Reyes and Hugo Jair Escalante. Convolutional Genetic Programming. In Jesus Ariel Carrasco-Ochoa and Jose Francisco Martinez Trinidad and Jose Arturo Olvera-Lopez and Joaquin Salas editors, Pattern Recognition - 11th Mexican Conference, MCPR 2019, Queretaro, Mexico, June 26-29, 2019, Proceedings, volume 11524, pages 47-57, 2019. Springer. details

  6. Lino Rodriguez-Coayahuitl and Alicia Morales-Reyes and Hugo Jair Escalante. Structurally Layered Representation Learning: Towards Deep Learning through Genetic Programming. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 271-288, Parma, Italy, 2018. Springer Verlag. details

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

Genetic Programming other entries for Hugo Jair Escalante