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Publications of Author

1. Cristóbal Romero, Sebastián Ventura, César Hervás-Martínez, Paul De Bra
   An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests. [Citation Graph (0, 0)][DBLP]
   AH, 2006, pp:203-212 [Conf]
   
2. Rafael del Castillo Gomariz, César Hervás-Martínez, Sebastián Ventura, Domingo Ortiz-Boyer
   Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
   CAEPIA, 2003, pp:177-186 [Conf]
   
3. César Hervás-Martínez, José Antonio Martinez Heras, Sebastián Ventura, Manuel Silva
   A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures. [Citation Graph (0, 0)][DBLP]
   ESANN, 2001, pp:347-352 [Conf]
   
4. Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro
   Using Rules Discovery for the Continuous Improvement of e-Learning Courses. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2006, pp:887-895 [Conf]
   
5. Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro A. Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura
   Evolutionary Product-Unit Neural Networks for Classification. [Citation Graph (0, 0)][DBLP]
   IDEAL, 2006, pp:1320-1328 [Conf]
   
6. Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro
   Discovering Prediction Rules in AHA! Courses. [Citation Graph (0, 0)][DBLP]
   User Modeling, 2003, pp:25-34 [Conf]
   
7. César Hervás, Sebastián Ventura, J. Martínez
   Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. [Citation Graph (0, 0)][DBLP]
   Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998, v:5, n:, pp:32-37 [Journal]
   
8. Cristóbal Romero, Sebastián Ventura, Eva Lucrecia Gibaja Galindo, César Hervás-Martínez, Francisco Romero Morales
   Web-based adaptive training simulator system for cardiac life support. [Citation Graph (0, 0)][DBLP]
   Artificial Intelligence in Medicine, 2006, v:38, n:1, pp:67-78 [Journal]
   
9. Cristóbal Romero, Sebastián Ventura
   Educational data mining: A survey from 1995 to 2005. [Citation Graph (0, 0)][DBLP]
   Expert Syst. Appl., 2007, v:33, n:1, pp:135-146 [Journal]
   
10. César Hervás, Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito
    Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1998, v:38, n:6, pp:1119-1124 [Journal]
    
11. Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
    Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1997, v:37, n:2, pp:287-291 [Journal]
    
12. Sebastián Ventura, Manuel Silva, Dolores Pérez-Bendito, César Hervás
    Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 1997, v:37, n:3, pp:517-521 [Journal]
    
13. Cristóbal Romero, Sebastián Ventura, Paul De Bra
    Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. [Citation Graph (0, 0)][DBLP]
    User Model. User-Adapt. Interact., 2004, v:14, n:5, pp:425-464 [Journal]
    
14. Amelia Zafra, Sebastián Ventura
    Multi-objective Genetic Programming for Multiple Instance Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:790-797 [Conf]
    
15. Cristóbal Romero, Sebastián Ventura, Jose Antonio Delgado, Paul De Bra
    Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems. [Citation Graph (0, 0)][DBLP]
    EC-TEL, 2007, pp:292-306 [Conf]
    
16. Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero
    Multiple Instance Learning with Genetic Programming for Web Mining. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:919-927 [Conf]
    
17. 
    Grammar guided genetic programming for multiple instance learning: an experimental study. [Citation Graph (, )][DBLP]
    
    
18. 
    Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. [Citation Graph (, )][DBLP]
    
    
19. 
    A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. [Citation Graph (, )][DBLP]
    
    
20. 
    Predicting Academic Achievement Using Multiple Instance Genetic Programming. [Citation Graph (, )][DBLP]
    
    
21. 
    Evaluating Web Based Instructional Models Using Association Rule Mining. [Citation Graph (, )][DBLP]
    
    
22. 
    Multi-label Classification with Gene Expression Programming. [Citation Graph (, )][DBLP]
    
    
23. 
    A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. [Citation Graph (, )][DBLP]
    
    
24. 
    Analysis of the Effectiveness of G3PARM Algorithm. [Citation Graph (, )][DBLP]
    
    
25. 
    Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study. [Citation Graph (, )][DBLP]
    
    
26. 
    Reducing Dimensionality in Multiple Instance Learning with a Filter Method. [Citation Graph (, )][DBLP]
    
    
27. 
    Solving Classification Problems Using Genetic Programming Algorithms on GPUs. [Citation Graph (, )][DBLP]
    
    
28. 
    Data Mining Algorithms to Classify Students. [Citation Graph (, )][DBLP]
    
    
29. 
    Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. [Citation Graph (, )][DBLP]
    
    
30. 
    Mining and Visualizing Visited Trails in Web-Based Educational Systems. [Citation Graph (, )][DBLP]
    
    
31. 
    Mining Rare Association Rules from e-Learning Data. [Citation Graph (, )][DBLP]
    
    
32. 
    Class Association Rules Mining from Students' Test Data. [Citation Graph (, )][DBLP]
    
    
33. 
    Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. [Citation Graph (, )][DBLP]