Genetic Programming Bibliography entries for Daniel Rivero Cebrian

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GP coauthors/coeditors: Julian Dorado, Juan Ramon Rabunal Dopico, Jer\'onimo Puertas, Antonino Santos del Riego, Alejandro Pazos Sierra, Enrique Fernandez-Blanco, Marcos Gestal Pose, Ling Guo, Cristian R Munteanu, Jeronimo Puertas Agudo, Ignacio Fraga, Luis Cea, Marta Garrido, Javier Pereira, David Periscal, Juan Rabufial, Carlos Fernandez-Lozano,

Genetic Programming Articles by Daniel Rivero Cebrian

  1. Daniel Rivero and Enrique Fernandez-Blanco and Alejandro Pazos. DoME: A deterministic technique for equation development and Symbolic Regression. Expert Systems with Applications, 198:116712, 2022. details

  2. Daniel Rivero and Enrique Fernandez-Blanco and Carlos Fernandez-Lozano and Alejandro Pazos. Population subset selection for the use of a validation dataset for overfitting control in genetic programming. J. Exp. Theor. Artif. Intell., 32(2):243-271, 2020. details

  3. Enrique Fernandez-Blanco and Daniel Rivero and Marcos Gestal and Julian Dorado. Classification of signals by means of Genetic Programming. Soft Computing, 17(10):1929-1937, 2013. details

  4. Ling Guo and Daniel Rivero and Julian Dorado and Cristian R. Munteanu and Alejandro Pazos. Automatic feature extraction using genetic programming: An application to epileptic EEG classification. Expert Systems with Applications, 38(8):10425-10436, 2011. details

  5. Daniel Rivero and Julian Dorado and Juan Rabunal and Alejandro Pazos. Generation and simplification of Artificial Neural Networks by means of Genetic Programming. Neurocomputing, 73(16-18):3200-3223, 2010. 10th Brazilian Symposium on Neural Networks (SBRN2008). details

  6. Daniel Rivero and Julian Dorado and Juan R. Rabunal and Alejandro Pazos. Modifying genetic programming for artificial neural network development for data mining. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 13(3):291-305, 2009. details

  7. Daniel Rivero and Julian Dorado and Juan R. Rabunal and Alejandro Pazos and Javier Pereira. Artificial Neural Network Development by means of Genetic Programming with Graph Codification. International Journal of Applied Mathematics and Computer Sciences, 1(1):41-46, 2005. details

Genetic Programming Books by Daniel Rivero Cebrian

Genetic Programming conference papers by Daniel Rivero Cebrian

  1. Daniel Rivero and Enrique Fernandez-Blanco and Julian Dorado and Alejandro Pazos. Classification of Two-channel Signals by Means of Genetic Programming. In Stephen L. Smith and Stefano Cagnoni and Robert M. Patton editors, GECCO 2015 Medical Applications of Genetic and Evolutionary Computation (MedGEC'15) Workshop, pages 1319-1325, Madrid, Spain, 2015. ACM. details

  2. Juan R. Rabunal and Jeronimo Puertas and Daniel Rivero and Ignacio Fraga and Luis Cea and Marta Garrido. Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin. In Jose Manuel Ferrandez and Jose Ramon Alvarez Sanchez and Felix de la Paz and F. Javier Toledo editors, Proceedings of the 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, Part 2, volume 6687, pages 223-232, La Palma, Canary Islands, Spain, 2011. Springer. details

  3. Daniel Rivero and Julian Dorado and Juan Rabufial and Alejandro Pazos. Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. In International Joint Conference on Neural Networks, IJCNN 2009, pages 2685-2692, Atlanta, Georgia, USA, 2009. details

  4. Daniel Rivero and Juan R. Rabunal and Julian Dorado and Alejandro Pazos. Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem. In Bartlomiej Beliczynski and Andrzej Dzielinski and Marcin Iwanowski and Bernardete Ribeiro editors, 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, Part I, volume 4431, pages 276-285, Warsaw, Poland, 2007. Springer. details

  5. Daniel Rivero and Julian Dorado and Juan Rabunal and Alejandro Pazos. Using Genetic Programming for Artificial Neural Network Development and Simplification. In Nikos Mastorakis editor, 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics (CIMMACS '06), pages 65-71, Venice, 2006. details

  6. Daniel Rivero and Juan R. Rabunal and Julian Dorado and Alejandro Pazos. Time Series Forecast with Anticipation Using Genetic Programming. In Joan Cabestany and Alberto Prieto and Francisco Sandoval Hern\'andez editors, Computational Intelligence and Bioinspired Systems, 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Proceedings, volume 3512, pages 968-975, Vilanova i la Geltr\'u, Barcelona, Spain,, 2005. Springer. details

  7. Daniel Rivero and Juan R. Rabu\~nal and Juli\'an Dorado and Alejandro Pazos. Using Genetic Programming for Character Discrimination in Damaged Documents. In Guenther R. Raidl and Stefano Cagnoni and Jurgen Branke and David W. Corne and Rolf Drechsler and Yaochu Jin and Colin R. Johnson and Penousal Machado and Elena Marchiori and Franz Rothlauf and George D. Smith and Giovanni Squillero editors, Applications of Evolutionary Computing, EvoWorkshops2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, volume 3005, pages 349-358, Coimbra, Portugal, 2004. Springer Verlag. details

  8. Julian Dorado and Juan R. Rabunal and Antonino Santos and Alejandro Pazos and Daniel Rivero. Automatic Recurrent ANN Rule Extraction with Genetic Programming. In Juan J. Merelo-Guervos and Panagiotis Adamidis and Hans-Georg Beyer and Jose-Luis Fernandez-Villacanas and Hans-Paul Schwefel editors, Parallel Problem Solving from Nature - PPSN VII, pages 485-494, Granada, Spain, 2002. Springer-Verlag. details

  9. Julian Dorado and Juan R. Rabunal and Daniel Rivero and Antonino Santos and Alejandro Pazos. Automatic Recurrent ANN Rule Extraction with Genetic Programming. In Proceedings of the 2002 International Joint Conference on Neural Networks IJCNN'02, pages 1552-1557, Hilton Hawaiian Village Hotel, Honolulu, Hawaii, 2002. IEEE Press. details

  10. Julian Dorado and Juan R. Rabu$\tilden$al and Jer\'onimo Puertas and Antonino Santos and Daniel Rivero. Prediction and Modelling of the Flow of a Typical Urban Basin through Genetic Programming. In Stefano Cagnoni and Jens Gottlieb and Emma Hart and Martin Middendorf and G"unther Raidl editors, Applications of Evolutionary Computing, Proceedings of EvoWorkshops2002: EvoCOP, EvoIASP, EvoSTim/EvoPLAN, volume 2279, pages 190-201, Kinsale, Ireland, 2002. Springer-Verlag. details

Genetic Programming book chapters by Daniel Rivero Cebrian