Sebastián Ventura

Carlos Márquez-Vera, Alberto Cano, Cristóbal Romero, Sebastián Ventura: Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data. Appl. Intell. 38(3): 315-330 (2013)

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning. Inf. Sci. 222: 282-301 (2013)

Alberto Cano, Amelia Zafra, Sebastián Ventura: An interpretable classification rule mining algorithm. Inf. Sci. 240: 1-20 (2013)

Alberto Cano, Juan Luis Olmo, Sebastián Ventura: Parallel multi-objective Ant Programming for classification using GPUs. J. Parallel Distrib. Comput. 73(6): 713-728 (2013)

Cristóbal Romero, Sebastián Ventura: Data mining in education. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 3(1): 12-27 (2013)

José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura: Discovering Subgroups by Means of Genetic Programming. EuroGP 2013: 121-132

Alberto Cano, Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura: A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification. EuroGP 2013: 217-228

Amelia Zafra, Sebastián Ventura: Multi-instance genetic programming for predicting student performance in web based educational environments. Appl. Soft Comput. 12(8): 2693-2706 (2012)

Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura Soto: Predicción del Fracaso Escolar Mediante Técnicas de Minería de Datos. IEEE-RITA 7(3): 109-117 (2012)

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: ReliefF-MI: An extension of ReliefF to multiple instance learning. Neurocomputing 75(1): 210-218 (2012)

José María Luna, José Raúl Romero, Sebastián Ventura: Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules. Knowl. Inf. Syst. 32(1): 53-76 (2012)

Alberto Cano, Amelia Zafra, Sebastián Ventura: Speeding up the evaluation phase of GP classification algorithms on GPUs. Soft Comput. 16(2): 187-202 (2012)

Amelia Zafra, Sebastián Ventura: Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems. Soft Comput. 16(6): 955-977 (2012)

Juan Luis Olmo, José Raúl Romero, Sebastián Ventura: Classification rule mining using ant programming guided by grammar with multiple Pareto fronts. Soft Comput. 16(12): 2143-2163 (2012)

Manuel Ignacio Lopez, Cristóbal Romero, Sebastián Ventura, J. M. Luna: Classification via clustering for predicting final marks starting from the student participation in Forums. EDM 2012: 148-151

María De Mar Molina, Cristóbal Romero, Sebastián Ventura, J. M. Luna: Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets. EDM 2012: 180-183

Juan Luis Olmo, José Raúl Romero, Sebastián Ventura: Multi-Objective Ant Programming for Mining Classification Rules. EuroGP 2012: 146-157

José María Luna, José Raúl Romero, Cristóbal Romero, Sebastián Ventura: A genetic programming free-parameter algorithm for mining association rules. ISDA 2012: 64-69

Juan Luis Olmo, Alberto Cano, José Raúl Romero, Sebastián Ventura: Binary and multiclass imbalanced classification using multi-objective ant programming. ISDA 2012: 70-76

Juan Ignacio Jaen, José Raúl Romero, Sebastián Ventura: VisualJCLEC: A visual framework for evolutionary computation. ISDA 2012: 119-125

Oscar Reyes, Carlos Morell, Sebastián Ventura: Learning similarity metric to improve the performance of lazy multi-label ranking algorithms. ISDA 2012: 246-251

Ajith Abraham, Albert Y. Zomaya, Sebastián Ventura, Ronald R. Yager, Václav Snásel, Azah Kamilah Muda, Philip Samuel (Eds.): 12th International Conference on Intelligent Systems Design and Applications, ISDA 2012, Kochi, India, November 27-29, 2012. IEEE 2012, isbn 978-1-4673-5117-1

Cristóbal Romero, José María Luna, José Raúl Romero, Sebastián Ventura: RM-Tool: A framework for discovering and evaluating association rules. Advances in Engineering Software 42(8): 566-576 (2011)

Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura: Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining. Appl. Soft Comput. 11(1): 93-102 (2011)

Amelia Zafra, Cristóbal Romero, Sebastián Ventura: Multiple instance learning for classifying students in learning management systems. Expert Syst. Appl. 38(12): 15020-15031 (2011)

José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura: A Gene Expression Programming Algorithm for Multi-Label Classification. Multiple-Valued Logic and Soft Computing 17(2-3): 183-206 (2011)

Juan Luis Olmo, José Raúl Romero, Sebastián Ventura: Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(6): 1585-1599 (2011)

Cristóbal Romero, Sebastián Ventura: Preface to the special issue on data mining for personalised educational systems. User Model. User-Adapt. Interact. 21(1-2): 1-3 (2011)

Carlos Márquez-Vera, Cristóbal Romero, Sebastián Ventura: Predicting School Failure Using Data Mining. EDM 2011: 271-276

Rafael Pedraza Perez, Cristóbal Romero, Sebastián Ventura: A Java Desktop Tool for Mining Moodle Data. EDM 2011: 319-320

Alberto Cano, Amelia Zafra, Sebastián Ventura: A Parallel Genetic Programming Algorithm for Classification. HAIS (1) 2011: 172-181

Alberto Cano, José María Luna, Juan Luis Olmo, Sebastián Ventura: JCLEC Meets WEKA! HAIS (1) 2011: 388-395

Alberto Cano, Amelia Zafra, Sebastián Ventura: An EP algorithm for learning highly interpretable classifiers. ISDA 2011: 325-330

Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura: Association rule mining using a multi-objective grammar-based ant programming algorithm. ISDA 2011: 971-977

José María Luna, José Raúl Romero, Sebastián Ventura: Mining and representing rare association rules through the use of genetic programming. NaBIC 2011: 86-91

Mykola Pechenizkiy, Toon Calders, Cristina Conati, Sebastián Ventura, Cristóbal Romero, John C. Stamper (Eds.): Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011. www.educationaldatamining.org 2011, isbn 978-90-386-2537-9

Sebastián Ventura, Ajith Abraham, Krzysztof J. Cios, Cristóbal Romero, Francesco Marcelloni, José Manuel Benítez, Eva Lucrecia Gibaja Galindo (Eds.): 11th International Conference on Intelligent Systems Design and Applications, ISDA 2011, Córdoba, Spain, November 22-24, 2011. IEEE 2011, isbn 978-1-4577-1676-8

Amelia Zafra, Sebastián Ventura: G3P-MI: A genetic programming algorithm for multiple instance learning. Inf. Sci. 180(23): 4496-4513 (2010)

Pedro G. Espejo, Sebastián Ventura, Francisco 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)

Cristóbal Romero, Sebastián Ventura: Educational Data Mining: A Review of the State of the Art. IEEE Transactions on Systems, Man, and Cybernetics, Part C 40(6): 601-618 (2010)

José María Luna, José Raúl Romero, Sebastián Ventura: G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules. IEEE Congress on Evolutionary Computation 2010: 1-8

Juan Luis Olmo, José Raúl Romero, Sebastián Ventura: A grammar based Ant Programming algorithm for mining classification rules. IEEE Congress on Evolutionary Computation 2010: 1-8

Cristóbal Romero, José Raúl Romero, José María Luna, Sebastián Ventura: Mining Rare Association Rules from e-Learning Data. EDM 2010: 171-180

Cristóbal Romero, Sebastián Ventura, Ekaterina Vasilyeva, Mykola Pechenizkiy: Class Association Rules Mining from Students' Test Data. EDM 2010: 317-318

Amelia Zafra, Sebastián Ventura: Grammar guided genetic programming for multiple instance learning: an experimental study. GECCO 2010: 909-916

José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Sebastián Ventura: Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study. HAIS (2) 2010: 9-16

Alberto Cano, Amelia Zafra, Sebastián Ventura: Solving Classification Problems Using Genetic Programming Algorithms on GPUs. HAIS (2) 2010: 17-26

José María Luna, José Raúl Romero, Sebastián Ventura: Analysis of the Effectiveness of G3PARM Algorithm. HAIS (2) 2010: 27-34

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: Reducing Dimensionality in Multiple Instance Learning with a Filter Method. HAIS (2) 2010: 35-44

Amelia Zafra, Sebastián Ventura: Web Usage Mining for Improving Students Performance in Learning Management Systems. IEA/AIE (3) 2010: 439-449

Eva Lucrecia Gibaja Galindo, Manuel Victoriano, José Luis Ávila-Jiménez, Sebastián Ventura: A TDIDT technique for multi-label classification. ISDA 2010: 519-524

Amelia Zafra, Mykola Pechenizkiy, Sebastián Ventura: Feature selection is the ReliefF for multiple instance learning. ISDA 2010: 525-532

José María Luna, Aurora Ramirez, José Raúl Romero, Sebastián Ventura: An intruder detection approach based on infrequent rating pattern mining. ISDA 2010: 682-688

Juan Luis Olmo, José María Luna, José Raúl Romero, Sebastián Ventura: An Automatic Programming ACO-Based Algorithm for Classification Rule Mining. PAAMS (Special Sessions and Workshops) 2010: 649-656

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)

Cristóbal 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)

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)

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)

Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro: An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering. User Model. User-Adapt. Interact. 19(1-2): 99-132 (2009)

Cristóbal Romero, Sebastián Ventura, Enrique García, Carlos de Castro, Miguel Gea: Collaborative Data Mining Tool for Education. EDM 2009: 299-308

Amelia Zafra, Sebastián Ventura: Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming. EDM 2009: 309-318

Amelia Zafra, Sebastián Ventura: A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning. HAIS 2009: 450-458

José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Sebastián Ventura: Multi-label Classification with Gene Expression Programming. HAIS 2009: 629-637

José Luis Ávila-Jiménez, Eva Lucrecia Gibaja Galindo, Amelia Zafra, Sebastián Ventura: A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns. IDEAL 2009: 570-577

Amelia Zafra, Cristóbal Romero, Sebastián Ventura: Predicting Academic Achievement Using Multiple Instance Genetic Programming. ISDA 2009: 1120-1125

Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro: Evaluating Web Based Instructional Models Using Association Rule Mining. UMAP 2009: 16-29

Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura (Eds.): Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. www.educationaldatamining.org 2009, isbn 978-84-613-2308-1

Cristóbal Romero, Sebastián Ventura, Enrique García: Data mining in course management systems: Moodle case study and tutorial. Computers & Education 51(1): 368-384 (2008)

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)

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)

Cristóbal Romero, Sebastián Ventura, Pedro G. Espejo, César Hervás: Data Mining Algorithms to Classify Students. EDM 2008: 8-17

Sebastián Ventura, Cristóbal Romero, César Hervás: Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher. EDM 2008: 177-181

Cristóbal Romero, Sergio Gutiérrez Santos, Manuel Freire, Sebastián Ventura: Mining and Visualizing Visited Trails in Web-Based Educational Systems. EDM 2008: 182-186

Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebastián Ventura: Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining. HIS 2008: 513-518

Cristóbal Romero, Sebastián Ventura: Educational data mining: A survey from 1995 to 2005. Expert Syst. Appl. 33(1): 135-146 (2007)

Amelia Zafra, Sebastián Ventura: Multi-objective Genetic Programming for Multiple Instance Learning. ECML 2007: 790-797

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

Amelia Zafra, Sebastián Ventura, Enrique Herrera-Viedma, Cristóbal Romero: Multiple Instance Learning with Genetic Programming for Web Mining. IWANN 2007: 919-927

Pedro G. Espejo, César Hervás, Sebastián Ventura, Cristóbal Romero: Selection of Logical Operators for Inducing Comprehensible Knowledge. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(29): 19-30 (2006)

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)

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

Enrique García, Cristóbal Romero, Sebastián Ventura, Carlos de Castro: Using Rules Discovery for the Continuous Improvement of e-Learning Courses. IDEAL 2006: 887-895

Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez Peña, Alfonso C. Martínez-Estudillo, Sebastián Ventura: Evolutionary Product-Unit Neural Networks for Classification. IDEAL 2006: 1320-1328

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)

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

Cristóbal Romero, Sebastián Ventura, Paul De Bra, Carlos de Castro: Discovering Prediction Rules in AHA! Courses. User Modeling 2003: 25-34

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

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 2(5): 32-37 (1998)

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)

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)

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)