Genetic Programming Bibliography entries for Cristobal Romero Morales
up to index
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
GP coauthors/coeditors:
Pedro Gonzalez Espejo,
Cesar Hervas Martinez,
Sebastian Ventura,
Jose Maria Luna,
Jose Raul Romero Salguero,
Carlos Marquez-Vera,
Alberto Cano Rojas,
Paul De Bra,
Amelia Zafra Gomez,
Jose Antonio Delgado Molina,
Enrique Herrera Viedma,
Genetic Programming Articles by Cristobal Romero Morales
-
J. M. Luna and C. Romero and J. R. Romero and S. Ventura.
An Evolutionary Algorithm for the Discovery of Rare Class Association Rules in Learning Management Systems.
Applied Intelligence, 42(3):501-513, 2015.
details
-
Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura.
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm.
Integrated Computer-Aided Engineering, 21(4):321-337, 2014.
details
-
Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura.
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery.
IEEE Transactions on Cybernetics, 44(12):2329-2341, 2014.
details
-
Cristobal Romero and Amelia Zafra and Jose Maria Luna and Sebastian Ventura.
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data.
Expert Systems, 30(2):162-172, 2013.
details
-
Carlos Marquez-Vera and Alberto Cano and Cristobal Romero and Sebastian Ventura.
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data.
Applied Intelligence, 38(3):315-330, 2013.
details
-
A. Zafra and C. Romero and S. Ventura and E. Herrera-Viedma.
Multi-instance genetic programming for web index recommendation.
Expert Systems with Applications, 36(9):11470-11479, 2009.
details
-
Sebastian Ventura and Cristobal Romero and Amelia Zafra and Jose A. Delgado and Cesar Hervas.
JCLEC: a Java framework for evolutionary computation.
Soft Computing - A Fusion of Foundations, Methodologies and Applications, 12(4):381-392, 2008.
details
-
Pedro G. Espejo and Cesar Hervas and Sebastian Ventura and Cristobal Romero.
Eleccion de Operadores Logicos para la Induccion de Conocimiento Comprensible.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 29:19-30, 2006.
Ejemplar dedicado a: Mineria de Datos.
details
-
Cristobal Romero and Sebastian Ventura and Paul De Bra.
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors.
User Modeling and User-Adapted Interaction, 14(5):425-464, 2004.
details
Genetic Programming conference papers by Cristobal Romero Morales
-
Jose M. Luna and Jose R. Romero and Cristobal Romero and Sebastian Ventura.
Discovering Subgroups by Means of Genetic Programming. In
Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu editors,
Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013, volume 7831, pages 121-132, Vienna, Austria, 2013. Springer Verlag.
details
-
Jose Maria Luna and Jose Raul Romero and Cristobal Romero and Sebastian Ventura.
A genetic programming free-parameter algorithm for mining association rules. In
12th International Conference on Intelligent Systems Design and Applications (ISDA 2012), pages 64-69, 2012.
details
-
Amelia Zafra and Cristobal Romero and Sebastian Ventura.
Predicting Academic Achievement Using Multiple Instance Genetic Programming. In
Ninth International Conference on Intelligent Systems Design and Applications, ISDA '09, pages 1120-1125, 2009.
details
-
Amelia Zafra and Sebastian Ventura and Enrique Herrera-Viedma and Cristobal Romero.
Multiple Instance Learning with Genetic Programming for Web Mining. In
Francisco Sandoval Hern\'andez and Alberto Prieto and Joan Cabestany and Manuel Gra\~na editors,
Proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, volume 4507, pages 919-927, San Sebasti\'an, Spain, 2007. Springer.
details
Genetic Programming book chapters by Cristobal Romero Morales
-
Amelia Zafra and Cristobal Romero and Sebastian Ventura.
Multi-Instance Learning versus Single-Instance Learning for Predicting the Student's Performance. In
Cristobal Romero and Sebastian Ventura and Mykola Pechenizkiy and Ryan S. J. D. Baker editors,
Handbook of Educational Data Mining, chapter 13, pages 187-200. CRC Press, 2010.
details
-
C. Romero and S. Ventura and C. Hervas and P. Gonzalez.
Rule mining with GBGP to improve web-based adaptive educational systems. In
C. Romero Morales and S. Ventura editors,
Data mining in e-learning, volume 4 of Advances in Management Information, pages 171-188. WitPress, 2006.
details
-
C. Romero and S. Ventura and C. Hervas and P. Gonzalez.
Rule discovery in Web-based educational systems using Grammar-Based Genetic Programming. In
A. Zanasi and C. A. Brebbia and N. Ebecken editors,
Data Mining VI: Data Mining, Text Mining and their Business Applications, volume 35 of Information and Communication Technologies, pages 113-126. WitPress, 2005.
details