Genetic Programming Bibliography entries for Mario Graff Guerrero

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.3838

GP coauthors/coeditors: Jaime Cerda, Alberto Avalos, Hugo Jair Escalante, Karlo Mario Mendoza Mendoza, Alicia Morales-Reyes, Mauricio Garcia-Limon, Manuel Montes-y-Gomez, Eduardo F Morales, Jose Martinez-Carranza, Juan J Flores, Erasmo Cadenas, Riccardo Poli, Rafael Pena, J Aurelio Medina Rios, Ariel Graff-Guerrero, Jamie Cerda, Jose Ortiz Bejar, Eric Sadit Tellez, Elio Villasenor, Sabino Miranda-Jimenez, Marco A Pacheco, Nicholas Freitag McPhee, Ranyart Rodrigo Suarez, Jose Maria Valencia-Ramirez, J A Raya, J R Cedeno,

Genetic Programming Articles by Mario Graff Guerrero

  1. 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

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

  3. Mario Graff and Eric Sadit Tellez and Elio Villasenor and Sabino Miranda-Jimenez. Semantic Genetic Programming Operators Based on Projections in the Phenotype Space. Research in Computing Science, 94:73-85, 2015. 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. Mario Graff and Riccardo Poli and Juan J. Flores. Models of Performance of Evolutionary Program Induction Algorithms Based on Indicators of Problem Difficulty. Evolutionary Computation, 21(4):533-560, 2013. details

  6. Mario Graff and Riccardo Poli. Practical performance models of algorithms in evolutionary program induction and other domains. Artificial Intelligence, 174(15):1254-1276, 2010. details

Genetic Programming PhD doctoral thesis Mario Graff Guerrero

Genetic Programming conference papers by Mario Graff Guerrero

  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. 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

  3. 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

  4. Jaime Cerda and Alberto Avalos and Mario Graff. Limitations of Genetic Programming Applied to Incipient Fault Detection: SFRA as Example. In 2015 International Conference on Computational Science and Computational Intelligence (CSCI), pages 498-503, 2015. details

  5. Mario Graff and Ariel Graff-Guerrero and Jaime Cerda-Jacobo. Semantic Crossover based on the Partial Derivative Error. 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 37-47, Granada, Spain, 2014. Springer. 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. Ranyart R. Suarez and Jose Maria Valencia-Ramirez and Mario Graff. Genetic programming as a feature selection algorithm. In IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2014), 2014. details

  8. Mario Graff and Juan J. Flores and Jose Ortiz Bejar. Genetic Programming: Semantic point mutation operator based on the partial derivative error. In IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2014), 2014. details

  9. 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

  10. Marco A. Pacheco and Mario Graff and Jamie Cerda. A fitness case strategy in genetic programming to improve system identification. In IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2013), 2013. details

  11. Mario Graff and Rafael Pena and Aurelio Medina. Wind Speed Forecasting using Genetic Programming. In Luis Gerardo de la Fraga editor, 2013 IEEE Conference on Evolutionary Computation, volume 1, pages 408-415, Cancun, Mexico, 2013. details

  12. Mario Graff and Riccardo Poli. Performance Models for Evolutionary Program Induction Algorithms based on Problem Difficulty Indicators. In Sara Silva and James A. Foster and Miguel Nicolau and Mario Giacobini and Penousal Machado editors, Proceedings of the 14th European Conference on Genetic Programming, EuroGP 2011, volume 6621, pages 118-129, Turin, Italy, 2011. Springer Verlag. details

  13. Riccardo Poli and Mario Graff and Nicholas Freitag McPhee. Free lunches for function and program induction. In FOGA '09: Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic algorithms, pages 183-194, Orlando, Florida, USA, 2009. ACM. details

  14. Riccardo Poli and Mario Graff. There is a Free Lunch for Hyper-Heuristics, Genetic Programming and Computer Scientists. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 195-207, Tuebingen, 2009. Springer. details

  15. Mario Graff and Riccardo Poli. Automatic Creation of Taxonomies of Genetic Programming Systems. In Leonardo Vanneschi and Steven Gustafson and Alberto Moraglio and Ivanoe De Falco and Marc Ebner editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481, pages 145-158, Tuebingen, 2009. Springer. details

  16. Riccardo Poli and Mario Graff. Free lunches for neural network search. In Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1291-1298, Montreal, 2009. ACM. details

  17. Mario Graff and Riccardo Poli. Practical Model of Genetic Programming's Performance on Rational Symbolic Regression Problems. In Michael O'Neill and Leonardo Vanneschi and Steven Gustafson and Anna Isabel Esparcia Alcazar and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino editors, Proceedings of the 11th European Conference on Genetic Programming, EuroGP 2008, volume 4971, pages 122-133, Naples, 2008. Springer. details

  18. Juan J. Flores and Mario Graff and Erasmo Cadenas. Wind Prediction using Genetic Algorithms and Gene Expression Programming. In Proceedings of the International Conference on Modelling and Simulation in the Enterprises. AMSE 2005, Morelia, Mexico, 2005. details

  19. Juan J. Flores and Mario Graff. System Identification Using Genetic Programming and Gene Expression Programming. In Pinar Yolum and Tunga Gungor and Fikret Gurgen and Can Ozturan editors, Proceedings of the 20th International Symposium Computer and Information Sciences - ISCIS 2005, volume 3733, pages 503-511, Istanbul, Turkey, 2005. Springer. details