Sebastián Ventura's research publications

Books
Book chapters
Journal articles
Conference contributions

Books

		C. Romero y S. Ventura (eds.). Data Mining in e-learning. Advances in Management Information, Vol. 4. WIT Press. Wessex (UK), 2006. ISBN: 1-84564-152-3.
		C. Romero, S. Ventura, M. Pechenizkiy and R. S. de J. Baker (eds.). Handbook of Educational Data Mining. Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. CRC Press. 2010 (to appear). ISBN: 1-43980-457-5.

Book chapters

Amelia Zafra, Cristóbal Romero and Sebastián Ventura. Multi-instance Learning versus Single-instance Learning for Predicting the Student's Performance. In C. Romero, S. Ventura, M. Pechenizkiy and R. Baker (eds) Handbook of Educational Data Mining. CRC Press, 2010.
J. Alcalá-Fdez, F. Herrera, S. García, M.J. del Jesus, L. Sánchez, E. Bernadó-Mansilla, A. Peregrín, S. Ventura. Introduction to the Experimental Design in the Data Mining Tool KEEL. In Leon S.L. Wang and T.P. Hong (eds) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology. IGI Global, 2010
A. Zafra and S. Ventura. Multiobjective Grammar Guided Genetic Programming for Multiple Instance Learning. In Encyclopedia of Data Warehousing and Mining, 2nd ed, Volume 3. Information Science Reference, 2008.
P. de Bra, N. Stash, D. Smits, C. Romero and S. Ventura. Authoring and Management Tools for Adaptive Educational Hypermedia Systems: The AHA! case study. In Evolution of Teaching and Learning Paradigms in Intelligent Environments, pp. 285-308. Springer, 2007.
C. Romero, S. Ventura, C. Hervás and P. González. Rule mining with GBGP to improve web-based adaptive educational systems. In Data Mining in e-learning, pp 173-190. WIT Press, Essex (UK), 2006.
C. Romero, S. Ventura, C. Hervás and P. González. Rule Discovery in Web-Based Educational Systems Using Grammar Based Genetic Programming. In Data Mining, Text Mining and Their Business Applications, pp 113-126. WIT Press, Essex (UK), 2005.
R. del Castillo, S. Ventura, E.R. Sanz and C. Hervás. Modelado basado en superficies de respuesta mediante Algoritmos Evolutivos. In Minería de Datos: Técnicas y Aplicaciones, pp 113-126. 2005.
C. Romero, S. Ventura and C. Hervás. Descubrimiento de reglas de predicción en sistemas de e-learning usando Programación Genética. In R. Giráldez, J.C. Riquelme y J.S. Aguilar (Eds). Tendencias de la Minería de Datos en España. Red Española de Minería de Datos (TIC2002-11124-E), 2004.
C. Romero, S. Ventura and C. Hervás. Selección de medidas de evaluación de reglas obtenidas mediante Programación Genética Basada en Gramáticas. In R. Giráldez, J.C. Riquelme y J.S. Aguilar (Eds). Tendencias de la Minería de Datos en España. Red Española de Minería de Datos (TIC2002-11124-E), 2004.
C. Hervás, S. Ventura, F. Martínez, R. Castillo and D. Ortiz. Modelado de sistemas mediante modelos híbridos de funciones de base y computación evolutiva. In G. Joya, M. Atencia, A. Ocho y S. Allende (Eds). Optimización Inteligente. Técnicas de Inteligencia Computacional para Optimización, pp143-182. Servicio de Publicaciones e Intercambio Científico de la Universidad de Málaga, 2004.
C. Hervás, S. Ventura, A.M. Castillejo and R.M. Gimeno. Genetic Algorithms in Design Topology Neural Networks for Predictive Microbiology. In COST 914: Predictive Modelling of Microbial Growth and Survival in Foods, 1999.

Journal articles

C. Romero, A. Zafra, J. M. Luna and S. Ventura. Association rule mining for providing feedback to instructors from multiple-choice quiz data. Expert Systems, 2011. (aceptado).
J. M. Luna, J. R. Romero and S. Ventura. Design and Behaviour Study of a Grammar Guided Genetic Programming Algorithm for Mining Association Rules. Knowledge and Information Systems, 2011 (accepted).
A. Cano, A. Zafra and S. Ventura. Speeding up GP classification algorithms on GPUs. Soft Computing (special issue Evolutionary Computation on General Purpose Graphics Processing Units), 2011 (accepted).
A. Zafra, M. Pechenizkiy and S. Ventura. HyDR-MI: A Hybrid Algorithm to Reduce Dimensionality in Multiple Instance Learning Information Sciences, 2011 (accepted).
C. Romero, P. G. Espejo, A. Zafra, J. R. Romero and S. Ventura. Web Usage Mining for Predicting Final Marks of MOODLE Students. Computer Applications in Engineering Education, 2010 (accepted).

A. Zafra, M. Pechenizkiy and S. Ventura. ReliefF-MI: An extension of ReliefF to Multiple Instance Learning. Neurocomputing, 210-218, 2012.
A. Zafra, C. Romero and S. Ventura. Multiple Instance Learning for Classifying Students in Learning Management Systems. Expert Systems With Applications, 38(12), 15020-15031, 2011.
C. Romero, J. M. Luna, J. R. Romero and S. Ventura. RM-Tool: A framework for discovering and evaluating association rules. Advances in Engineering Software, 42(8), 566-576, 2011.
C. Romero and S. Ventura. Preface to the special issue on data mining for personalised educational systems User Model User-Adap Inter, 21(1-2), 1-3, 2011.
J. L. Olmo, J. R. Romero and S. Ventura. Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers. IEEE Trans. on Systems, Man and Cybernetics – Part B: Cybernetics, 41(6), 1585 - 1599, 2011.
E. García, C. Romero, S. Ventura and C. de Castro. A Collaborative Educational Association Rule Mining Tool. The Internet and Higher Education Journal (Special Issue on Web Mining and Higher Education), 14(2), 77-88, 2011.
J. L. Ávila, E. L. Gibaja, A. Zafra and S. Ventura. A Gene Expression Programming Algorithm for Multi-Label Classification. Journal of Multiple-Valued Logic and Soft Computing, 17(2-3), 183-206, 2011.
A. Zafra, E. Gibaja and S. Ventura. Multi-instance Learning with Multi-Objective Genetic Programming for Web Mining. Applied Soft Computing, 11(1), 93-102, 2011.
C. Romero and S. Ventura. Educational Data Mining: A Review of the State-of-the-Art. IEEE Tansactions on Systems, Man and Cybernetics, part C: Applications and Reviews, 40(6), 601-618, 2010.
A. Zafra and S. Ventura. G3P-MI: A Genetic Programming Algorithm for Multiple Instance Learning. Information Sciences, 180(23), 4496-4513, 2010.
P.G. Espejo, S. Ventura and F. Herrera. A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man and Cybernetics: Part C, 40(2), 121-144, 2010.
C. Romero, S. Ventura, P. de Bra. Using Mobile and Web-based Computerized Test for Evaluating University Students. Computer Applications in Engineering Education 17(4), 435-447, 2009.
C. Romero, S. Ventura, A. Zafra and P. De Bra. Applying Web Usage Mining for Personalizing Hyperlinks in Web-based Adaptive Educational Systems. Computers and Education, 53, 828–840, 2009.
A. Zafra, C. Romero, S. Ventura and E. Herrera-Viedma. Multi-Instance Genetic Programming For Web Index Recommendation. Expert Systems with Applications 36, 11470-11479, 2009.
E. García, C. Romero, S. Ventura and C. de Castro. An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. User Modelling and User Adapted Interaction, 19(1-2), 99-132, 2009.
C. Romero, P. González, S. Ventura, M. J. del Jesus and F. Herrera. Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems With Applications, 36(2), 1632-1644, 2009.
J. Alcalá, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V. Rivas and F. Herrera. KEEL: A data mining software tool for assessing the performance of knowledge extraction-based on evolutionary algorithms. Soft Computing, 13(3), 307-318, 2009.
E. García, C. Romero, S. Ventura and C. Castro. Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. IEEE RITA: Revista Iberoamericana de Tecnologías del Aprendizaje, 3(1), 19-30, May 2008.
C. Romero, S. Ventura and E. García. Data Mining in Course Management Systems: MOODLE Case Study and Tutorial. Computers and Education, 51(1), 368-384, 2008.
S. Ventura, C. Romero, A. Zafra, J.A. Delgado and C. Hervás. JCLEC: A Java Framework for Evolutionary Computation. Soft Computing, 12(4), 381-392, 2008.
C. Romero and S. Ventura. Educational Data Mining: A Survey from 1995 to 2005. Expert Systems with Applications, 33(1), 135-146, 2007.
C. Romero, S. Ventura, E. Gibaja, C. Hervás and F. Romero. Web-Based Adaptive Training Simulator System for Cardiac Life Support. Artificial Intelligence in Medicine, 38(1), 67-78, 2006.
C. Romero, S. Ventura, C. Hervás and P. González. Rule Discovery in Web-Based Educational Systems Using Grammar-Based Genetic Programming. WIT Transactions on Information and Communication Tecnologies, 35, 205-214, 2005.
C. Romero, S. Ventura, C. de Castro and E. García. Algoritmos Evolutivos para el Descubrimiento de Reglas de Predicción en la Mejora de de Sistemas Educativos Basados en Web. RELATEC (Revista Latinoamericana De Tecnología Educativa), 2, 1-12, 2005.
C. Romero, S. Ventura and P. de Bra. Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors. User Modelling and User Adapted Interaction, 14(5), 425-464, 2004.
C. Romero, S. Ventura, C. de Castro and E. García. Herramienta Autor INDESAHC Para La Creación de Cursos Hipermedia Adaptativos. RELATEC (Revista Latinoamericana De Tecnología Educativa), 1, 349-367, 2004.
C. Romero, C. de Castro and S. Ventura. Construcción de Cursos Hipermedia Adaptativos Basados En Web Utilizandoa AHA. Revista Iberoamericana de Educación a Distancia, 5(2), 99-116, 2002.
S. Ventura, C. Hervás and J.A. Martínez. Reconocimiento de Funciones de Producción Láctea mediante Redes Neuronales Podadas y Entrenadas con un Algoritmo Genético. Inteligencia Artificial, 2(5), 32-38, 1998.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Computational Neural Networks for Resolving Nonlinear Multicomponent Systems based on Chemiluminiscence Methods. Journal of Chemical Information and Computer Sciences, 38, 1119-1124, 1998.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Estimation of Parameters of Kinetic Compartmental Models by use of Computational Neural Networks. Journal of Chemical Information and Computer Sciences, 37, 517-521, 1997.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics. Journal of Chemical Information and Computer Sciences, 37, 287-292, 1997.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Multicomponent Kinetic Determinations using Artificial Neural Networks. Analytical Chemistry, 67, 4458-4462, 1995.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Neural Network for Estimation of Kinetic Analytical Parameters. Analytical Chemistry, 67, 1521-1526, 1995.
S. Ventura, M. Silva and M.D. Pérez. Stopped-Flow Chemiluminescence Spectrometry to Improve the Determination of Penicillins Based on the Luminol Reaction. Analytica Chimica Acta, 266, 301-308, 1992.

Conference contributions

E. Gibaja, M. Victoriano, J.L. Avila and S. Ventura. A TDIDT Technique For Multi-Label Classification. Tenth International Conference on Intelligent System Design and Applications (ISDA 2010), El Cairo, Egypt, November 2010.
A. Zafra, M. Pechenizkiy and S. Ventura. Feature Selection Is The ReliefF For Multiple Instance Learning. Tenth International Conference on Intelligent System Design and Applications (ISDA 2010), El Cairo, Egypt, November 2010.
J. M. Luna, A. Ramirez, J. R. Romero and S. Ventura. An intruder detection approach based on infrequent rating pattern mining. Tenth International Conference on Intelligent System Design and Applications (ISDA 2010), El Cairo, Egypt, November 2010.
J. L. Olmo, J. R. Romero and S. Ventura. A Grammar Based Ant Programming Algorithm for Mining Classification Rules. IEEE World Congress on Computational Intelligence (WCCI 2010) Barcelona, Spain, July 2010.
J. M. Luna, J. R. Romero and S. Ventura. G3PARM: A Grammar Guided Genetic Programming Algorithm for Mining Association Rules. IEEE World Congress on Computational Intelligence (WCCI 2010) Barcelona, Spain, July 2010.
A. Zafra and S. Ventura. Grammar Guided Genetic Programming for Multiple Instance Learning: An Experimental Study. The Genetic and Evolutionary Computation Conference (GECCO-2010). Portland, Oregon (USA), July 2010.
C. Romero, J. R. Romero, J. M. Luna and S. Ventura. Mining Rare Association Rules from e-Learning Data. EDM 2010, Pittsburg (USA), Junio de 2010.
C. Romero, S. Ventura, E. Vasilyeva and M. Pechenizkiy. Class Association Rules Mining from Students' Test Data. EDM 2010, Pittsburg (USA), June 2010.
A. Cano, A. Zafra and S. Ventura. Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS 2010. S. Sebastian (Spain), June 2010.
J. M. Luna, J. R. Romero and S. Ventura. Analysis of the Effectiveness of G3PARM Algorithm. HAIS 2010. S. Sebastian (Spain), June 2010.
A. Zafra, M. Pechenizkiy and S. Ventura. Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS 2010. S. Sebastian (Spain), June 2010.
J. L. Ávila-Jiménez, E. L.Gibaja and S. Ventura. Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study. HAIS 2010. S. Sebastian (España), June 2010.
A. Zafra and S. Ventura. Web usage mining for improving students performance in learning management systems. The Twenty Third International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE 2010). Cordoba (Spain), June 2010.
C.J. Carmona, P. González, M.J. del Jesus, C. Romero and S. Ventura. Evolutionary algorithms for subgroup discovery applied to e-learning data. First Annual Global Engineering Education Conference (IEEE EDUCON 2010). Madrid (Spain), April 2010.
J. L. Olmo, J. M. Luna, J. R. Romero and S. Ventura. An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. Eighth International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2010). Salamanca (Spain), April 2010.
A. Zafra, C. Romero and S. Ventura. Predicting Academic Achievement Using Multiple Instance Genetic Programming. 9th International Conference on Intelligent Systems Design and Applications (ISDA'09) Pisa (Italy), November 2009.
J.L. Ávila, E.L. Gibaja, A. Zafra and S. Ventura. A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2009). Burgos (Spain), September 2009.
A. Zafra and S. Ventura. Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming. Second International Conference on Educational Data Mining (EDM'09). Córdoba (Spain), Julio de 2009.
E. García, C. Romero, S. Ventura and C. de Castro. Evaluating web based instructional model using data mining. User Modeling, Adaptation, and Personalization (UMAP 2009). Trento (Italy), June 2009.
A. Zafra and S. Ventura. A Comparison of Multi-Objective Grammar-Guided Genetic Programming methods to Multiple Instance Learning. 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009). Salamanca (Spain), June 2009.
J.L. Ávila, E.L. Gibaja and S. Ventura. Multi-Label Classification with Gene Expression Programming. Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009). Salamanca (Spain), June 2009.
A. Zafra, E. L. Gibaja and S. Ventura. Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. Eight International Conference on Hybrid Intelligent Systems (HIS 2008). Barcelona (Spain), 2008.
C. Romero, S. Ventura, P. Espejo, C. Hervas. Data mining algorithms to classify students. Educational Data Mining Conference (EDM 2008). Montreal (Canada), 2008.
S. Ventura, C. Romero, C. Hervás. Analyzing rule evaluation measures with educational datasets: A framwork to help the teacher. Educational Data Mining Conference (EDM 2008). Montreal (Canada), 2008.
C. Romero, S.Guiterrez, M. Freire, S. Ventura. Minig and visualizing trails in Web-based educational systems. Educational Data Mining Conference (EDM 2008). Montreal (Canada), 2008.
A. Zafra and S. Ventura. Modelling User Preferences with Multi-Instance Genetic Programming. 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008). Special session on "Soft approaches to information access on the Web". Málaga (Spain), 2008.
A. Zafra and S. Ventura. Multi-objective Genetic Programming for Multiple Instance Learning. 18th European Conference on Machine Learning (ECML 2007). Warsaw (Poland), 2007.
A. Zafra, S. Ventura, E. Herrera-Viedma and C. Romero. Multiple Instance Learning with Genetic Programming For Web Mining. 9th International Work-Conference on Artificial Neural Networks (IWANN 2007). S. Sebastian (Spain), 2007.
E. García, C. Romero, S. Ventura & T. Calders. Drawbacks and solutions of applying association rule mining in learning management systems. International Workshop on Applying Data Mining in e-Learning (ADML'07). Crete (Greece), 2007.
C. Romero, S. Ventura, J.A. Delgado and P. de Bra. Personalized Links Recommendation Based On Data Mining in Adaptive Educational Hypermedia Systems. Second European Conference on Technology Enhanced Learning (EC-TEL 2007). Crete (Greece), 2007.
A. Zafra, S. Ventura and E. Herrera. Aprendizaje Multi-instancia con Programación Genética para Web Mining. I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas. Zaragoza, 2007.
E. García, C. Romero, S. Ventura, and C. de Castro. Using Rules Discovery For The Continuous Improvement of e-learning Courses. Seventh International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2006). Burgos (Spain), 2006.
F.J. Martínez, C. Hervás, P.A. Gutiérrez, A.C. Martínez and S. Ventura. Evolutionary Product Unit Neural Networks For Classification. Seventh International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2006). Burgos (Spain), 2006.
C. Romero, S. Ventura and C. Hervás. Sistema Adaptable para la ejecución de Tests Informatizados en Teléfonos Móviles. II Congreso Iberoamericano sobre Computacióm Ubícua (CICU 2006). Madrid (Spain), 2006.
V. Montilla, P. Montesinos, E. Camacho and S. Ventura. Optimización Operacional de Sistemas de Distribución de Agua mediante Técnicas Heurísticas. XXIV Congreso Nacional de Riegos. Lugo, 2006.
J. Sánchez, L. Meléndez and S. Ventura. Implantación de LDAP como Sistema de Autentificación Centralizada. II Jornadas de Software Libre de la Universidad de Cádiz. Cádiz, 2006.
C. Romero, S. Ventura and C. Hervás. AHA! Meets SCORM. IADIS International Conference. Applied Computing 2005. Algarve (Portugal), 2005.
P. González, C. Romero, S. Ventura and C. Hervás. Induction of Classification Rules with Grammar-Based Genetic Programming. Second International Conference on Machine Intelligence (ACIDCA-ICMI 2005). Tozeur (Tunis), 2005.
C. Romero, S. Ventura, C. Hervás and P. de Bra. Extending AHA!: Adding Levels, Data Mining, Tests and SCORM to AHA!. Fifth International Conference Human Systems Learning. Marrakesh (Morocco), 2005.
C. Romero, E. Luque and S. Ventura. Control Domótico X-10 utilizando telefonía móvil y J2ME. I Simposio sobre Computación UbÍcua e Inteligencia Ambiental. Granada, 2005.
P. González, C. Romero, C. Hervás and S. Ventura. Programación Genética Gramatical para el Descubrimiento de Reglas de Clasificación. Cuarto Congreso Espanyol de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05). Granada, 2005.
C. Romero, S. Ventura and C. Hervás. Estado Actual de la Aplicación de la Minería de Datos a los Sistemas de Ensenyanza Basada en Web. Tercer Taller de Minería de Datos y Aprendizaje. (TAMIDA05). Granada, 2005.
P. González, C. Romero, C. Hervás and S. Ventura. Influencia de la elección de Operadores Lógicos en la Comprensibilidad del Conocimiento Inducido. Tercer Taller de Minería de Datos y Aprendizaje (TAMIDA05). Granada, 2005.
C. Romero, P. de Bra, S. Palomo and S. Ventura. An Authoring Tool for Web-Based Adaptive and Classic Tests. AACE ELEARN'2004 conference. Washington DC (USA), 2004.
C. Romero, S. Ventura and C. de Castro. Herramienta para el Descubrimiento de Reglas de Predicción en Educación Basada en Web. V Congreso Internacional De Interacción Persona Ordenador. Lleida (Spain), 2004.
C. Romero, S. Ventura and C. de Castro. Sistema de Desarrollo Integrado para Cursos Hipermedia Adaptativos (INDESHAHC). V Congreso Internacional De Interacción Persona Ordenador. Lleida (Spain), 2004.
C. Romero, S. Ventura, C. Hervás and P. González. Rule Discovery in Web-Based Educational Systems using Grammar-Based Genetic Programming. Fifth International Conference On Data Mining. Málaga (Spain), 2004.
C. Romero, C. de Castro and S. Ventura. Algoritmos Evolutivos para Descubrimiento de Reglas de Predicción en la Mejora de Sistemas Educativos Adaptativos Basados En Web. Tercer Congreso Espanyol de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Córdoba, 2004.
C. Hervás, C. Romero and S. Ventura. Comparación de Medidas De Evaluación de Reglas de Asociación. Tercer Congreso Espanyol de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04). Córdoba, 2004.
C. Hervás, S. Ventura, F. Martínez, R. del Castillo and D. Ortiz. Modelado de Sistemas Mediante Modelos Híbridos de Funciones de Base y Computación Evolutiva. Sixth International Conference on Operations Research and Fifth Workshop on Operations Research: Applications to The Economy. La Habana (Cuba), 2003.
C. Romero, S. Ventura, C. de Castro and P. de Bra. Discovering Prediction Rules In AHA Courses!. User Modeling 2003. Pittsburg (USA), 2003.
S. Ventura, C. Hervás, A.J. Cruz and F. Herrera. Análisis de Operadores en Programación Genética basada en Gramáticas. Segundo Congreso Espanyol de Algoritmos Evolutivos y Bioinspirados (MAEB'03). Gijón, 2003.
R. del Castillo, C. Hervás, S. Ventura and D. Ortiz. Optimizadores de Cruce por Intervalos de Confianza en Problemas de Modelado utilizando Algoritmos Genéticos con Codificación Real. Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA03). S. Sebastián, 2003.
C. Romero, S. Ventura and C. de Castro. Herramienta Autor para la Construcción de Cursos Hipermedia Adaptativos Utilizando AHA. IV Congreso Internacional de Interacción Persona-Ordenador. Vigo (Spain), 2002.
C. Romero, S. Ventura, C. de Castro and P. de Bra. Using Knowledge Levels with AHA for Discovering Interesting Relationships. World Conference E-Learn 2002. Toronto (Canada), 2002.
C. Romero, S. Ventura and C. de Castro. Using Genetic Algorithms for Data Mining in Web-Based Educational Hypermedia Systems. Adaptive Hypermedia and Adaptive Web-Based Systems (AH02). Málaga (Spain), 2002.
C. Romero, F. Vazquez, S. Ventura and C. de Castro. Internet Based Control Systems. Internet Based Control Systems. Madrid (Spain), 2002.
S. Ventura, R. del Castillo and C. Hervás. Algoritmo Genético para el Modelado de Sistemas: Aplicación a Cinética Química. Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados (MAEB'02). Mérida, 2002.
S. Ventura, D. Ortiz and C. Hervás. JCLEC: Una Biblioteca de Clases Java para Computación Evolutiva. Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados (MAEB'02). Mérida, 2002.
S. Ventura, F. Herrera, J.M. Berná and C. Hervás. Evolución guiada mediante Aprendizaje. Comparación en Problemas de Optimización. Primer Congreso Espanyol de Algoritmos Evolutivos y Bioinspirados (MAEB'02). Mérida, 2002.
C. Hervás, J.A. Martínez, S. Ventura and M. Silva. A Two Steeps Method: Nonlinear Regression and Pruning Neural Networks for Analyzing Multicomponent Mixtures. European Symposium on Artificial Neural Networks (ESANN01). Brujas (Belgium), 2001.
D. Ortiz, C. Hervás and S. Ventura. Operador de Cruce Basado en Intervalos de Confianza para Algoritmos Genéticos con Codificación Real . Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA01). Gijón, 2001.
D. Ortiz, S. Ventura and C. Hervás. Genetic Algorithms based on Confidence Intervals for Prediction of Microbial Growth Curves. IPMU2000. Madrid (Spain), 2000.
C. Romero, C. de Castro and S. Ventura. Interacción con Mundos VRML utilizando Java. I Jornadas de Interacción Persona-Ordenador. Madrid, 2000.
C. Hervás, D. Ortiz and S. Ventura. Operadores de Cruce Utilizando Intervalos de Confianza en Modelos de Superficie de Respuesta. Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA99). Murcia, 1999.
N. Fernández, C. Hervás and S. Ventura. Skeletonization and Thinning Algorithms using Neural Networks: A Parallelism Study. National Symposium On Patterns Recognition And Image Analysis. S. Sebastián, 1999.
C. Hervás, S. Ventura, R. García and A. Castillejo. Genetic Algorithms in Design Topology Neural Networks for Predictive Microbiology. Validation of Predictive Models in a Wide Range of European Foods. Córdoba (Spain), 1998.
C. Hervás, S. Ventura and N. García. Singular Value Decomposition and Computational Neural Networks: Applications for Resolving Determinations Kinetics. National Symposium On Patterns Recognition And Image Analysis . Barcelona, 1997.
C. Hervás, N. García, P. Luz and S. Ventura. Learning Algorithms using First and Second Derivatives: Comparison in Kinetic Chemistry. Information Processing And Management of Uncertainty in Knowledge-Based Systems (IPMU96). Granada (Spain), 1996.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Multicomponent Kinetic Determinations Using Artificial Neural Networks. First Mediterranean Basin Conference on Analytical Chemistry. Córdoba (Spain), 1995.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Estimación de Parámetros en Modelos Compartamentales Cinéticos mediante Redes Neuronales. Transferencia Tecnológica de Inteligencia Artificial a Industria, Medicina y Aplicaciones. Alicante, 1995.
S. Ventura, M. Silva, M.D. Pérez and C. Hervás. Uso de Redes Neuronales en la Estimación de Parámetros Cinéticos. Septimas Jornadas De Análisis Instrumental. Madrid, 1995.
M.D. Pérez, M. Silva, D. González and S. Ventura. Stopped-Flow Chemiluminescence Spectrometry. Third International Symposium on Kinetics in Analytical Chemistry. Dubrovnik-Cavtat (Yugoslavia), 1989.