Genetic Programming Bibliography entries for Amelia Zafra Gomez

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GP coauthors/coeditors: Jose Luis Avila-Jimenez, Eva L Gibaja, Sebastian Ventura, Alberto Cano Rojas, Jose Maria Luna, Cristobal Romero Morales, Jose Antonio Delgado Molina, Cesar Hervas Martinez, Enrique Herrera Viedma,

Genetic Programming Articles by Amelia Zafra Gomez

  1. Amelia Zafra. Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification--an automated approach to feature learning. Genetic Programming and Evolvable Machines, 23(4):589-590, 2022. details

  2. Alberto Cano and Jose Maria Luna and Amelia Zafra and Sebastian Ventura. A Classification Module for Genetic Programming Algorithms in JCLEC. Journal of Machine Learning Research, 16:491-494, 2015. details

  3. Alberto Cano and Amelia Zafra and Sebastian Ventura. Speeding up multiple instance learning classification rules on GPUs. Knowledge and Information Systems, 44(1):127-145, 2015. details

  4. 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

  5. Alberto Cano and Amelia Zafra and Sebastian Ventura. An Interpretable Classification Rule Mining Algorithm. Information Sciences, 240:1-20, 2013. details

  6. Amelia Zafra and Sebastian Ventura. Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 16(6):955-977, 2012. details

  7. Amelia Zafra and Sebastian Ventura. Multi-instance genetic programming for predicting student performance in web based educational environments. Applied Soft Computing, 12(8):2693-2706, 2012. details

  8. 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, 16(2):187-202, 2012. details

  9. Jose Luis Avila-Jimenez and Eva Lucrecia Gibaja Galindo and Amelia Zafra and Sebastian Ventura. A Gene Expression Programming Algorithm for Multi-Label Classification. Journal of Multiple-Valued Logic and Soft Computing, 17(2-3):183-206, 2011. details

  10. 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

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

  12. 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

  13. 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

Genetic Programming PhD doctoral thesis Amelia Zafra Gomez

Genetic Programming conference papers by Amelia Zafra Gomez

  1. Alberto Cano and Amelia Zafra and Eva L. Gibaja and Sebastian Ventura. A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. 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 217-228, Vienna, Austria, 2013. Springer Verlag. details

  2. Alberto Cano and Amelia Zafra and Sebastian Ventura. A Parallel Genetic Programming Algorithm for Classification. In Emilio Corchado and Marek Kurzynski and Michal Wozniak editors, Proceedings of the 6th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2011) Part I, volume 6678, pages 172-181, Wroclaw, Poland, 2011. Springer. details

  3. 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

  4. 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

  5. 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, Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2009, volume 5572, pages 450-458, Salamanca, Spain, 2009. Springer. details

  6. 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, Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining, pages 309-318, 2009. http://www.educationaldatamining.org. details

  7. 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

  8. Amelia Zafra and Sebastian Ventura. Modelling User Preferences with Multi-Instance Genetic Programming. In Luis Magdalena and Jose Luis Verdegay editors, Information processing and Management of Uncertainty in Knowledge based systems, IPMU 20018, Malaga, Spain, 2008. details

  9. 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

  10. 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

  11. 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 Amelia Zafra Gomez