Genetic Programming Bibliography entries for Sebastian Ventura

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GP coauthors/coeditors: Jose Luis Avila-Jimenez, Eva L Gibaja, Alberto Cano Rojas, Amelia Zafra Gomez, Pedro Gonzalez Espejo, Cesar Hervas Martinez, Cristobal Romero Morales, Francisco Herrera, Jose Maria Luna, Jose Raul Romero Salguero, Aurora Ramirez Quesada, Juan Luis Olmo, Paul De Bra, Jose A Delgado, Enrique Herrera Viedma,

Genetic Programming Articles by Sebastian Ventura

  1. Amelia Zafra and Eva L. Gibaja and Sebastian Ventura. Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. Applied Soft Computing, 11(1):93-102, 2011. details

  2. Alberto Cano and Amelia Zafra and Sebastian Ventura. Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2011. details

  3. Amelia Zafra and Sebastian Ventura. G3P-MI: A genetic programming algorithm for multiple instance learning. Information Sciences, 180(23):4496-4513, 2010. details

  4. Pedro G. Espejo and Sebastian Ventura and Francisco Herrera. A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 40(2):121-144, 2010. details

  5. 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

  6. 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

  7. 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

  8. 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 Sebastian Ventura

  1. Juan Luis Olmo and Jose Raul Romero and Sebastian Ventura. Multi-objective Ant Programming for Mining Classification Rules. In Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta editors, Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012, volume 7244, pages 146-157, Malaga, Spain, 2012. Springer Verlag. details

  2. Amelia Zafra and Sebastian Ventura. Grammar guided genetic programming for multiple instance learning: an experimental study. In Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 909-916, Portland, Oregon, USA, 2010. ACM. details

  3. Jose Maria Luna and Jose Raul Romero and Sebastian Ventura. G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. In IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010. IEEE Press. details

  4. Jose Maria Luna and Aurora Ramirez and Jose Raul Romero and Sebastian Ventura. An intruder detection approach based on infrequent rating pattern mining. In 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010), pages 682-688, 2010. details

  5. Alberto Cano and Amelia Zafra and Sebastian Ventura. Solving Classification Problems Using Genetic Programming Algorithms on GPUs. In Emilio Corchado and Manuel Grana Romay and Alexandre Manhaes Savio editors, Hybrid Artificial Intelligence Systems, volume 6077, pages 17-26, San Sebastian, Spain, 2010. Springer. details

  6. Amelia Zafra and Sebastian Ventura. A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. In Emilio Corchado and Xindong Wu and Erkki Oja and \'Alvaro Herrero and Bruno Baruque editors, 4th International Conference, Hybrid Artificial Intelligence Systems, HAIS 2009, volume 5572, pages 450-458, Salamanca, Spain, 2009. Springer. details

  7. J. L. Avila and Eva Lucrecia Gibaja Galindo and Sebastian Ventura. Multi-label Classification with Gene Expression Programming. In Emilio Corchado and Xindong Wu and Erkki Oja and \'Alvaro Herrero and Bruno Baruque editors, volume 5572, pages 629-637, 2009. Springer. details

  8. Amelia Zafra and Sebastian Ventura. Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming. In Tiffany Barnes and Michel C. Desmarais and Crist\'obal Romero and Sebasti\'an Ventura editors, pages 309-318, 2009. www.educationaldatamining.org. details

  9. 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

  10. Amelia Zafra and Eva Gibaja and Sebastian Ventura. Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. In Eighth International Conference on Hybrid Intelligent Systems, HIS '08, pages 513-518, 2008. details

  11. 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

  12. Amelia Zafra and Sebastian Ventura. Multi-objective Genetic Programming for Multiple Instance Learning. In Joost N. Kok and Jacek Koronacki and Ramon L\'opez de M\'antaras and Stan Matwin and Dunja Mladenic and Andrzej Skowron editors, 18th European Conference on Machine Learning, ECML 2007, volume 4701, pages 790-797, Warsaw, Poland, 2007. Springer. details

Genetic Programming book chapters by Sebastian Ventura

  1. 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

  2. Jose Luis Avila-Jimenez and Eva Gibaja and Sebastian Ventura. Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study. In Emilio Corchado and Manuel Grana Romay and Alexandre Manhaes Savio editors, Hybrid Artificial Intelligence Systems, volume 6077 of Lecture Notes in Computer Science, pages 9-16. Springer, San Sebastian, Spain, 2010. details

  3. 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

  4. 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