| 2009 | ||
|---|---|---|
| 30 | Amelia Zafra, Sebastián Ventura: A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. HAIS 2009: 450-458 | |
| 29 | J. L. Ávila, Eva Lucrecia Gibaja Galindo, Sebastián Ventura: Multi-label Classification with Gene Expression Programming. HAIS 2009: 629-637 | |
| 28 | 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 | Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro: Evaluating Web Based Instructional Models Using Association Rule Mining. UMAP 2009: 16-29 | |
| 26 | 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 | 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 | 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 | 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 | Sebastián Ventura, Cristóbal Romero, César Hervás: Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM 2008: 177-181 | |
| 21 | Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura: Mining and Visualizing Visited Trails in Web-Based Educational Systems. EDM 2008: 182-186 | |
| 20 | Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás: Data Mining Algorithms to Classify Students. EDM 2008: 8-17 | |
| 19 | 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 | 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 | 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 | 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 | Amelia Zafra, Sebastián Ventura: Multi-objective Genetic Programming for Multiple Instance Learning. ECML 2007: 790-797 | |
| 14 | Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero: Multiple Instance Learning with Genetic Programming for Web Mining. IWANN 2007: 919-927 | |
| 13 | Cristóbal Romero, Sebastián Ventura: Educational data mining: A survey from 1995 to 2005. Expert Syst. Appl. 33(1): 135-146 (2007) | |
| 2006 | ||
| 12 | 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 | 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 | 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 | 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 | 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 | 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 | Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro: Discovering Prediction Rules in AHA! Courses. User Modeling 2003: 25-34 | |
| 2001 | ||
| 5 | 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 | 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 | 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 | 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) | |