2009 |
19 | EE | Jesús Alcalá-Fdez,
Luciano Sánchez,
Salvador García,
María José del Jesús,
Sebastián Ventura,
Josep Maria Garrell i Guiu,
José Otero,
Cristóbal Romero,
Jaume Bacardit,
Víctor M. Rivas,
Juan Carlos Fernández,
Francisco Herrera:
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput. 13(3): 307-318 (2009) |
2008 |
18 | EE | Enrique García Salcines,
Cristóbal Romero,
Sebastián Ventura,
Carlos de-Castro-Lozano:
Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning.
IEEE-RITA 3(1): 19-30 (2008) |
17 | EE | Sebastián Ventura,
Cristóbal Romero,
Amelia Zafra,
Jose Antonio Delgado,
César Hervás:
JCLEC: a Java framework for evolutionary computation.
Soft Comput. 12(4): 381-392 (2008) |
2007 |
16 | EE | Cristóbal Romero,
Sebastián Ventura,
Jose Antonio Delgado,
Paul De Bra:
Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems.
EC-TEL 2007: 292-306 |
15 | EE | Amelia Zafra,
Sebastián Ventura:
Multi-objective Genetic Programming for Multiple Instance Learning.
ECML 2007: 790-797 |
14 | EE | Amelia Zafra,
Sebastián Ventura,
Enrique Herrera-Viedma,
Cristóbal Romero:
Multiple Instance Learning with Genetic Programming for Web Mining.
IWANN 2007: 919-927 |
13 | EE | Cristóbal Romero,
Sebastián Ventura:
Educational data mining: A survey from 1995 to 2005.
Expert Syst. Appl. 33(1): 135-146 (2007) |
2006 |
12 | EE | 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.
AH 2006: 203-212 |
11 | EE | Francisco J. Martínez-Estudillo,
César Hervás-Martínez,
Pedro A. Gutiérrez Peña,
Alfonso C. Martínez-Estudillo,
Sebastián Ventura:
Evolutionary Product-Unit Neural Networks for Classification.
IDEAL 2006: 1320-1328 |
10 | EE | Enrique García,
Cristóbal Romero,
Sebastián Ventura,
Carlos de Castro:
Using Rules Discovery for the Continuous Improvement of e-Learning Courses.
IDEAL 2006: 887-895 |
9 | EE | Cristóbal Romero,
Sebastián Ventura,
Eva Lucrecia Gibaja Galindo,
César Hervás-Martínez,
Francisco Romero Morales:
Web-based adaptive training simulator system for cardiac life support.
Artificial Intelligence in Medicine 38(1): 67-78 (2006) |
2004 |
8 | EE | Cristóbal Romero,
Sebastián Ventura,
Paul De Bra:
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors.
User Model. User-Adapt. Interact. 14(5): 425-464 (2004) |
2003 |
7 | EE | 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.
CAEPIA 2003: 177-186 |
6 | EE | Cristóbal Romero,
Sebastián Ventura,
Paul De Bra,
Carlos de Castro:
Discovering Prediction Rules in AHA! Courses.
User Modeling 2003: 25-34 |
2001 |
5 | EE | 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.
ESANN 2001: 347-352 |
1998 |
4 | | César Hervás,
Sebastián Ventura,
J. Martínez:
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 5: 32-37 (1998) |
3 | EE | César Hervás,
Sebastián Ventura,
Manuel Silva,
Dolores Pérez-Bendito:
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods.
Journal of Chemical Information and Computer Sciences 38(6): 1119-1124 (1998) |
1997 |
2 | EE | Sebastián Ventura,
Manuel Silva,
Dolores Pérez-Bendito,
César Hervás:
Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics.
Journal of Chemical Information and Computer Sciences 37(2): 287-291 (1997) |
1 | EE | Sebastián Ventura,
Manuel Silva,
Dolores Pérez-Bendito,
César Hervás:
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks.
Journal of Chemical Information and Computer Sciences 37(3): 517-521 (1997) |