| * | 2009 |
| 30 | EE | Amelia Zafra,
Sebastián Ventura:
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning.
HAIS 2009: 450-458 |
| 29 | EE | J. L. Ávila,
Eva Lucrecia Gibaja Galindo,
Sebastián Ventura:
Multi-label Classification with Gene Expression Programming.
HAIS 2009: 629-637 |
| 28 | EE | J. L. Ávila,
Eva Lucrecia Gibaja Galindo,
Amelia Zafra,
Sebastián Ventura:
A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns.
IDEAL 2009: 570-577 |
| 27 | EE | Enrique García,
Cristóbal Romero,
Sebastián Ventura,
Carlos de Castro:
Evaluating Web Based Instructional Models Using Association Rule Mining.
UMAP 2009: 16-29 |
| 26 | EE | Cristóbal Romero,
Sebastián Ventura,
Amelia Zafra,
Paul De Bra:
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems.
Computers & Education 53(3): 828-840 (2009) |
| 25 | EE | C. Romero,
Pedro González,
Sebastián Ventura,
María José del Jesús,
Francisco Herrera:
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl. 36(2): 1632-1644 (2009) |
| 24 | EE | Amelia Zafra,
Cristóbal Romero,
Sebastián Ventura,
Enrique Herrera-Viedma:
Multi-instance genetic programming for web index recommendation.
Expert Syst. Appl. 36(9): 11470-11479 (2009) |
| 23 | 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 |
| 22 | EE | Sebastián Ventura,
Cristóbal Romero,
César Hervás:
Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher.
EDM 2008: 177-181 |
| 21 | EE | Cristóbal Romero,
Sergio Gutiérrez Santos,
Manuel Freire,
Sebastián Ventura:
Mining and Visualizing Visited Trails in Web-Based Educational Systems.
EDM 2008: 182-186 |
| 20 | EE | Cristóbal Romero,
Sebastián Ventura,
Pedro G. Espejo,
César Hervás:
Data Mining Algorithms to Classify Students.
EDM 2008: 8-17 |
| 19 | EE | Cristóbal Romero,
Sebastián Ventura,
Enrique García:
Data mining in course management systems: Moodle case study and tutorial.
Computers & Education 51(1): 368-384 (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) |