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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. 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]
   
3. 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]
   
4. 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]
   
5. 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]
   
6. 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]
   
7. 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]
   
8. 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]
   
9. César Hervás, Francisco Martínez, Mariano Carbonero, Cristóbal Romero, Juan Carlos Fernández
   Evolutionary Combining of Basis Function Neural Networks for Classification. [Citation Graph (0, 0)][DBLP]
   IWINAC (1), 2007, pp:447-456 [Conf]
   
10. 
    Predicting Academic Achievement Using Multiple Instance Genetic Programming. [Citation Graph (, )][DBLP]
    
    
11. 
    Evaluating Web Based Instructional Models Using Association Rule Mining. [Citation Graph (, )][DBLP]
    
    
12. 
    Data Mining Algorithms to Classify Students. [Citation Graph (, )][DBLP]
    
    
13. 
    Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. [Citation Graph (, )][DBLP]
    
    
14. 
    Mining and Visualizing Visited Trails in Web-Based Educational Systems. [Citation Graph (, )][DBLP]
    
    
15. 
    Mining Rare Association Rules from e-Learning Data. [Citation Graph (, )][DBLP]
    
    
16. 
    Class Association Rules Mining from Students' Test Data. [Citation Graph (, )][DBLP]