Sebastián Ventura Soto

Category

Doctor

Contact

sventura@FpcjwZ1tuco.es

Organismo

UCO

Researcher Profile

Total From 2015:
Citas Total: 16892 From 2015: 11401
Índice H Total: 49 From 2015: 43
Índice i10 Total: 159 From 2015: 131

Papers (416)

Title Authors Year
Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer JM Jiménez-Vacas, V Herrero-Aguayo, AJ Montero-Hidalgo, .... 2020
Heuristics for interesting class association rule mining a colorectal cancer database JA Delgado-Osuna, C García-Martínez, J Gómez-Barbadillo, S Ventura. 2020
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms JM Moyano, EL Gibaja, KJ Cios, S Ventura. 2020
A semantically enriched text mining system for clinical decision support C Luque, JM Luna, S Ventura. 2020
Tweet Coupling: a social media methodology for clustering scientific publications SU Hassan, NR Aljohani, M Shabbir, U Ali, S Iqbal, R Sarwar, .... 2020
Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt C García-Martínez, S Ventura. 2020
Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization PG Cachi, S Ventura, KJ Cios. 2020
Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records JM Luna, P Fournier-Viger, S Ventura. 2020
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: an application in cancer diagnosis O Reyes, E Pérez, RM Luque, J Castaño, S Ventura. 2020
Trends the use of Artificial Intelligence techniques for peer assessment LB Mendoza, MP Ortega, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Artificial intelligence and its impact on the prediction of economic indicators KM Ramírez, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming JM Moyano, EL Gibaja, KJ Cios, S Ventura. 2020
Mining Cross-Level High Utility Itemsets P Fournier-Viger, Y Wang, JCW Lin, JM Luna, S Ventura. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
A Preliminary Study on Evolutionary Clustering for Multiple Instance Learning A Esteban, A Zafra, S Ventura. 2020
Mining Local Periodic Patterns in a Discrete Sequence P Fournier-Viger, P Yang, RU Kiran, S Ventura, JM Luna. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Convolutional neural networks for the automatic diagnosis of melanoma: an extensive experimental study E Pérez, O Reyes, S Ventura. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Accuracy'Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment MP Ortega, LB Mendoza, JM Hormaza, SV Soto. 2020
Virtual learning environment to predict withdrawal by leveraging deep learning SU Hassan, H Waheed, NR Aljohani, M Ali, S Ventura, F Herrera. 2019
LEAC: An efficient library for clustering with evolutionary algorithms H Robles-Berumen, A Zafra, HM Fardoun, S Ventura. 2019
An evolutionary approach to build ensembles of multi-label classifiers JM Moyano, EL Gibaja, KJ Cios, S Ventura. 2019
A supervised methodology for analyzing dysregulation in splicing machinery: an application in cancer diagnosis O Reyes, RM Luque, J Castaño, S Ventura. 2019
Signal Speech Reconstruction and Noise removal using Convolutional Denoising Audioencoders with Neural Deep Learning A Houda, O Chakkor, O Reyes, S Ventura. 2019
Performing Multi-Target Regression via a Parameter Sharing-based Deep Network O Reyes, S Ventura. 2019
JCLEC-MO: A Java suite for solving many-objective optimization engineering problems A Ramírez, JR Romero, C García-Martínez, S Ventura. 2019
Evaluating associative classification algorithms for Big Data F Padillo, JM Luna, S Ventura. 2019
A grammar-guided genetic programing algorithm for associative classification in Big Data F Padillo, JM Luna, S Ventura. 2019
An advanced review on text mining in medicine C Luque, JM Luna, M Luque, S Ventura. 2019
Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance C Romero, S Ventura. 2019
Dysregulation of the Splicing Machinery Is Associated to the Development of Nonalcoholic Fatty Liver Disease M del Río-Moreno, E Alors-Pérez, S González-Rubio, G Ferrín, O Reyes, .... 2019
ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark J Gonzalez-Lopez, S Ventura, A Cano. 2019
Discovering Students’ Engagement Behaviors in Confidence-based Assessment R Maqsood, P Ceravolo, S Ventura. 2019
Performing Multi-Target Regression via a Parameter Sharing-Based Deep Network. O Reyes, S Ventura. 2019
WordificationMI: multi-relational data mining through multiple-instance propositionalization LA Quintero-Domínguez, C Morell, S Ventura. 2019
Speeding Up Classifier Chains in Multi-label Classification JM Moyano, EL Gibaja, S Ventura, A Cano. 2019
Programa COINCIDENTE: el proyecto MANPREDIC S Ventura Soto. 2019
Subgroup discovery in MOOCs: a big data application for describing different types of learners JM Luna, HM Fardoun, F Padillo, C Romero, S Ventura. 2019
Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database JA Delgado-Osuna, C García-Martínez, S Ventura, JG Barbadillo. 2019
MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge C Luque, JM Luna, S Ventura. 2019
Frequent itemset mining: A 25 years review JM Luna, P Fournier‐Viger, S Ventura. 2019
Distributed multi-label feature selection using individual mutual information measures J Gonzalez-Lopez, S Ventura, A Cano. 2019
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information J González-López, S Ventura, A Cano. 2019
Predicting literature’s early impact with sentiment analysis in Twitter SU Hassan, NR Aljohani, N Idrees, R Sarwar, R Nawaz, .... 2019
Subgroup Discovery on Multiple Instance Data JM Luna, CJ Carmona, AM García-Vico, MJ del Jesus, S Ventura. 2019
Associative Classification in Big Data through a G3P Approach JM Luna, F Padillo, S Ventura. 2019
LAC: Library for associative classification F Padillo, JM Luna, S Ventura. 2019
Diagnóstico automático de melanoma: una revisión EP Perdomo, OGR Pupo, SV Soto. 2019
Mining association rules on Big Data through MapReduce genetic programming F Padillo, JM Luna, F Herrera, S Ventura. 2018
Review of ensembles of multi-label classifiers: Models, experimental study and prospects JM Moyano, EL Gibaja, KJ Cios, S Ventura. 2018
Effective active learning strategy for multi-label learning O Reyes, C Morell, S Ventura. 2018
Statistical comparisons of active learning strategies over multiple datasets O Reyes, AH Altalhi, S Ventura. 2018
Evolutionary Strategy to perform Batch-Mode Active Learning on Multi-Label Data O Reyes, S Ventura. 2018
A locally weighted learning method based on a data gravitation model for multi-target regression O Reyes, A Cano, HM Fardoun, S Ventura. 2018
Changes in splicing machinery components influence, precede, and early predict the development of type 2 diabetes: from the CORDIOPREV Study MD Gahete, M del Rio-Moreno, A Camargo, JF Alcala-Diaz, E Alors-Perez, .... 2018
A gene expression programming method for multi-target regression O Reyes, JM Moyano, JM Luna, S Ventura. 2018
Extraccion de factores relevantes en el análisis de datos biomédicos: una metodologıa basada en técnicas de aprendizaje supervisado O Reyes, JM Moyano, A Rivero-Juárez, RM Luque, A Rivero, J Castano, .... 2018
Reglas de Asociacion en Datos Multi-Instancia mediante Programacion Genética Gramatical JM Luna, O Reyes, MJ del Jesus, S Ventura. 2018
JCLAL 2.0: mejoras y nuevas funcionalidades en la herramienta Java de codigo abierto para el aprendizaje activo E Pérez, LD González, LM Sánchez, O Reyes, S Ventura. 2018
Resolucion de Problemas Biomédicos mediante Técnicas de Extraccion de Conocimiento O Reyes, JM Luna, JM Moyano, E Pérez, S Ventura. 2018
Resolviendo el problema de regresion multi-salida mediante Gene Expression Programming O Reyes, JM Moyano, JM Luna, S Ventura. 2018
An ensemble-based method for the selection of instances in the multi-target regression problem O Reyes, H Fardoun, S Ventura. 2018
Supervised descriptive pattern mining S Ventura, JM Luna. 2018
Optimization of quality measures in association rule mining: an empirical study JM Luna, M Ondra, HM Fardoun, S Ventura. 2018
Subgroup Discovery S Ventura, JM Luna. 2018
Contrast Sets S Ventura, JM Luna. 2018
Emerging Patterns S Ventura, JM Luna. 2018
Class Association Rules S Ventura, JM Luna. 2018
Other Forms of Supervised Descriptive Pattern Mining S Ventura, JM Luna. 2018
Successful Applications S Ventura, JM Luna. 2018
Exceptional Models S Ventura, JM Luna. 2018
Introduction to Supervised Descriptive Pattern Mining S Ventura, JM Luna. 2018
Distributed nearest neighbor classification for large-scale multi-label data on spark J Gonzalez-Lopez, S Ventura, A Cano. 2018
OLLAWV: online learning algorithm using worst-violators G Melki, V Kecman, S Ventura, A Cano. 2018
Parallelization strategies for markerless human motion capture A Cano, E Yeguas-Bolivar, R Muñoz-Salinas, R Medina-Carnicer, .... 2018
MIRSVM: multi-instance support vector machine with bag representatives G Melki, A Cano, S Ventura. 2018
A survey of many-objective optimisation in search-based software engineering A Ramirez, JR Romero, S Ventura. 2018
Interactive multi-objective evolutionary optimization of software architectures A Ramirez, JR Romero, S Ventura. 2018
A gene expression programming algorithm for discovering classification rules in the multi-objective space A Guerrero-Enamorado, C Morell, S Ventura. 2018
Evaluación del algoritmo AR-NSGEP en colecciones de datos desbalanceadas. A Guerrero Enamorado, C Morell, S Ventura. 2018
Retrieving IRT parameters with half information M Sacksick, S Ventura. 2018
Aprendizaje automático con programacion genética gramatical para la deteccion de patrones de diseno R Barbudo, JR Romero, S Ventura. 2018
PROGRAMACIÓN DE EXPRESIONES GENÉTICAS MULTI-OBJETIVO PARA EL DESCUBRIMIENTO DE REGLAS DE CLASIFICACIÓN EN BASES DE DATOS BIOMÉDICAS MULTI-OBJECTIVE GENE EXPRESSION PROGRAMMING … AG Enamorado, S Ventura, C Morell. 2018
API para el desarrollo de algoritmos interactivos en ingenierıa del software basada en búsqueda A Ramırez, JR Romero, S Ventura. 2018
Mining context-aware association rules using grammar-based genetic programming JM Luna, M Pechenizkiy, MJ del Jesus, S Ventura. 2017
An evolutionary algorithm for optimizing the target ordering in ensemble of regressor chains JM Moyano, EL Gibaja, S Ventura. 2017
MLDA: A tool for analyzing multi-label datasets JM Moyano, EL Gibaja, S Ventura. 2017
Extremely high-dimensional optimization with MapReduce: scaling functions and algorithm A Cano, C García-Martínez, S Ventura. 2017
Multi-view semi-supervised learning using genetic programming interpretable classification rules C Garcia-Martinez, S Ventura. 2017
Educational data science in massive open online courses C Romero, S Ventura. 2017
Apriori versions based on mapreduce for mining frequent patterns on big data JM Luna, F Padillo, M Pechenizkiy, S Ventura. 2017
Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark F Padillo, JM Luna, S Ventura. 2017
Evaluation and comparison of open source software suites for data mining and knowledge discovery AH Altalhi, JM Luna, MA Vallejo, S Ventura. 2017
An evolutionary algorithm for mining rare association rules: a big data approach F Padillo, JM Luna, S Ventura. 2017
Multi-target support vector regression via correlation regressor chains G Melki, A Cano, V Kecman, S Ventura. 2017
Multi-objective genetic programming for feature extraction and data visualization A Cano, S Ventura, KJ Cios. 2017
Large-scale multi-label ensemble learning on Spark J Gonzalez-Lopez, A Cano, S Ventura. 2017
Games and simulation in higher education J Pérez, Á Alejandro, B Loch, A Daradoumis Haralabus, S Ventura. 2017
Evaluación de proyectos usando sistemas basados en algoritmos genéticos de aprendizaje de reglas A Guerrero Enamorado, I Pérez Pupo, S Ventura, C Morell, P Pérez, .... 2017
On the effect of local search in the multi-objective evolutionary discovery of software architectures A Ramírez, JR Romero, S Ventura. 2017
Evaluación distribuida transparente para algoritmos evolutivos en JCLEC A Cano, S Ventura Soto, F Ibáñez Pastor. 2017
Descubrimiento de patrones de diseno basado en buenas prácticas: modelo y discusión R Barbudo, A Ramırez, JR Romero, S Ventura. 2017
Búsqueda coevolutiva interactiva aplicada al diseno de software A Ramırez, JR Romero, S Ventura. 2017
Multiple instance learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Multiple Instance Multiple Label Learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Multi-instance regression F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
LAIM discretization for multi-label data A Cano, JM Luna, EL Gibaja, S Ventura. 2016
Data Reduction F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Bag-Based Classification Methods F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Multi-instance Classification F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Instance-Based Classification Methods F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
An ensemble-based approach for multi-view multi-label classification EL Gibaja, JM Moyano, S Ventura. 2016
Imbalanced Multi-instance Data F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
Unsupervised Multiple Instance Learning F Herrera, S Ventura, R Bello, C Cornelis, A Zafra, D Sánchez-Tarragó, .... 2016
JCLAL: A Java Framework for Active Learning O Reyes, E Pérez, M del Carmen Rodrıguez-Hernández, HM Fardoun, .... 2016
Effective lazy learning algorithm based on a data gravitation model for multi-label learning O Reyes, C Morell, S Ventura. 2016
Early dropout prediction using data mining: a case study with high school students C Márquez‐Vera, A Cano, C Romero, AYM Noaman, H Mousa Fardoun, .... 2016
Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos J Fuentes-Alventosa, C Romero, C García-Martínez, S Ventura. 2016
Estrategia efectiva para el aprendizaje activo multi-etiqueta O Reyes, S Ventura. 2016
Pattern mining with evolutionary algorithms S Ventura, JM Luna. 2016
Speeding-up association rule mining with inverted index compression JM Luna, A Cano, M Pechenizkiy, S Ventura. 2016
Mining exceptional relationships with grammar-guided genetic programming JM Luna, M Pechenizkiy, S Ventura. 2016
Recommending degree studies according to students’ attitudes in high school by means of subgroup discovery AY Noaman, JM Luna, AHM Ragab, S Ventura. 2016
Discovering useful patterns from multiple instance data JM Luna, A Cano, V Sakalauskas, S Ventura. 2016
Subgroup discovery on big data: exhaustive methodologies using map-reduce F Padillo, JM Luna, S Ventura. 2016
A data structure to speed-up machine learning algorithms on massive datasets F Padillo, JM Luna, A Cano, S Ventura. 2016
Mining perfectly rare itemsets on big data: an approach based on apriori-inverse and mapreduce F Padillo, JM Luna, S Ventura. 2016
Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms F Padillo, JM Luna, S Ventura. 2016
Big Data on Real-World Applications SV Soto, J Luna, A Cano. 2016
Quality measures in pattern mining S Ventura, JM Luna. 2016
Scalability in Pattern Mining S Ventura, JM Luna. 2016
Multiobjective Approaches in Pattern Mining S Ventura, JM Luna. 2016
Mining Exceptional Relationships Between Patterns S Ventura, JM Luna. 2016
ur-CAIM: improved CAIM discretization for unbalanced and balanced data A Cano, DT Nguyen, S Ventura, KJ Cios. 2016
Genetic Programming in Pattern Mining S Ventura, JM Luna. 2016
Introduction to Evolutionary Computation S Ventura, JM Luna. 2016
Pattern Mining with Genetic Algorithms S Ventura, JM Luna. 2016
Supervised Local Pattern Mining S Ventura, JM Luna. 2016
Introduction to Pattern Mining S Ventura, JM Luna. 2016
A comparative study of many-objective evolutionary algorithms for the discovery of software architectures A Ramírez, JR Romero, S Ventura. 2016
An algorithm evaluation for discovering classification rules with gene expression programming A Guerrero-Enamorado, C Morell, AY Noaman, S Ventura. 2016
Memetic algorithms for the automatic discovery of software architectures A Ramírez, R Barbudo, JR Romero, S Ventura. 2016
Estudio de mecanismos de hibridación para el descubrimiento evolutivo de arquitecturas A Ramırez, JA Molina, JR Romero, S Ventura. 2016
Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos J Fuentes-Alventosa, C Romero, C García-Martínez, S Ventura. 2016
Speeding up multiple instance learning classification rules on GPUs A Cano, A Zafra, S Ventura. 2015
A tutorial on multilabel learning E Gibaja, S Ventura. 2015
Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context O Reyes, C Morell, S Ventura. 2015
An evolutionary algorithm for the discovery of rare class association rules in learning management systems JM Luna, C Romero, JR Romero, S Ventura. 2015
Genetic programming for mining association rules in relational database environments JM Luna, A Cano, S Ventura. 2015
Discovering clues to avoid middle school failure at early stages MA Jiménez-Gómez, JM Luna, C Romero, S Ventura. 2015
JA Larusson, B. White (eds): Learning analytics: From research to practice C Romero, S Ventura. 2015
Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015 OC Santos, J Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... 2015
An evolutionary self-adaptive algorithm for mining association rules JM Luna, A Cano, S Ventura. 2015
Proceedings of the International Conference on Educational Data Mining (EDM)(8th, Madrid, Spain, June 26-29, 2015). OC Santos, JG Boticario, C Romero, M Pechenizkiy, A Merceron, P Mitros, .... 2015
An approach for the evolutionary discovery of software architectures A Ramírez, JR Romero, S Ventura. 2015
Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets JL Olmo, C Romero, E Gibaja, S Ventura. 2015
An extensible JCLEC-based solution for the implementation of multi-objective evolutionary algorithms A Ramírez, JR Romero, S Ventura. 2015
Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE D Pinheiro, A Cano, S Ventura. 2015
Interactividad en el descubrimiento evolutivo de arquitecturas A Ramırez, JR Romero, S Ventura. 2015
Combinación de vistas para clasificación multi-etiqueta: estudio preliminar EL Gibaja, JM Moyano, S Ventura. 2015
Algoritmo evolutivo para optimizar ensembles de clasificadores multi-etiqueta JM Moyano, EL Gibaja, A Cano, JM Luna, S Ventura. 2015
Diseno Automático de Multi-Clasificadores Basados en Proyecciones de Etiquetas JM Moyano, EL Gibaja, A Cano, JM Luna, S Ventura. 2015
Larusson, JA, White, B.(eds): Learning Analytics: From Research to Practice C Romero, S Ventura. 2015
Moodle rank: informes de ranking en Moodle AZ Gómez, EG Galindo, M Luque, SV Soto. 2015
Seguimiento online de alumnos y recursos de aprendizaje mediante el desarrollo de informes avanzados para Moodle EG Galindo, AZ Gómez, M Luque, SV Soto. 2015
A classification module for genetic programming algorithms in JCLEC A Cano, JM Luna, A Zafra, S Ventura Soto. 2014
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs A Cano, A Zafra, S Ventura. 2014
Multi‐label learning: a review of the state of the art and ongoing research E Gibaja, S Ventura. 2014
Introducción a la Programación. Metodología y experiencia de evaluación tras la implantación del EEES E Gibaja, M Luque, A Zafra, S Ventura. 2014
Evolutionary feature weighting to improve the performance of multi-label lazy algorithms O Reyes, C Morell, S Ventura. 2014
Classification rule mining with iterated greedy JA Pedraza, C García-Martínez, A Cano, S Ventura. 2014
On the use of genetic programming for mining comprehensible rules in subgroup discovery JM Luna, JR Romero, C Romero, S Ventura. 2014
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm JM Luna, JR Romero, C Romero, S Ventura. 2014
A survey on pre-processing educational data C Romero, JR Romero, S Ventura. 2014
On the adaptability of G3PARM to the extraction of rare association rules JM Luna, JR Romero, S Ventura. 2014
Impact of HbA1c measurement on hospital readmission rates: analysis of 70,000 clinical database patient records B Strack, JP DeShazo, C Gennings, JL Olmo, S Ventura, KJ Cios, .... 2014
Foreword: Intelligent data analysis S Ventura, C Romero, A Abraham. 2014
Scalable CAIM discretization on multiple GPUs using concurrent kernels A Cano, S Ventura, KJ Cios. 2014
GPU-parallel subtree interpreter for genetic programming A Cano, S Ventura. 2014
On the performance of multiple objective evolutionary algorithms for software architecture discovery A Ramírez, JR Romero, S Ventura. 2014
Swarm‐based metaheuristics in automatic programming: a survey JL Olmo, JR Romero, S Ventura. 2014
Single and multi-objective ant programming for mining interesting rare association rules JL Olmo, J Raúl Romero, S Ventura. 2014
Accepting or Rejecting Students’ Self-grading in their Final Marks by using Data Mining J Fuentes, C Romero, C García-Martínez, S Ventura. 2014
Innovations in nature inspired optimization and learning methods E Corchado, A Abraham. 2014
Ant Programming Algorithms for Classification JL Olmo, JR Romero, S Ventura. 2014
Advances in learning schemes for function approximation E Corchado Rodríguez, AP Abraham, PA Gutiérrez, JM Benítez, .... 2014
Metaherramienta para la generación de aplicaciones cientıficas basadas en workflows R Salado-Cid, JR Romero, S Ventura. 2014
Análisis de la aplicabilidad de medidas software para el diseno semi-automático de arquitecturas A Ramırez, JR Romero, S Ventura. 2014
Single and multi-objective ant programming for mining interesting rare association rules. JL Olmo, JR Romero, S Ventura. 2014
Web usage mining for predicting final marks of students that use Moodle courses C Romero, PG Espejo, A Zafra, JR Romero, S Ventura. 2013
Weighted data gravitation classification for standard and imbalanced data A Cano, A Zafra, S Ventura. 2013
Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data C Romero, A Zafra, JM Luna, S Ventura. 2013
An interpretable classification rule mining algorithm A Cano, A Zafra, SN Ventura. 2013
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning A Zafra, M Pechenizkiy, S Ventura. 2013
DRAL: a tool for discovering relevant e-activities for learners A Zafra, C Romero, S Ventura. 2013
A grammar-guided genetic programming algorithm for multi-label classification A Cano, A Zafra, EL Gibaja, S Ventura. 2013
Experiencia en el grado en ingeniería informática para reforzar conceptos algebraicos a través de la programación de ordenadores E Gibaja, A Zafra, M Luque, S Ventura. 2013
Diseño de aplicaciones cliente/servidor para el aprendizaje de las tecnologías de comunicación A Zafra, E Gibaja, M Luque, S Ventura. 2013
Data mining in education C Romero, S Ventura. 2013
Predicting students' final performance from participation in on-line discussion forums C Romero, MI López, JM Luna, S Ventura. 2013
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data C Márquez-Vera, A Cano, C Romero, S Ventura. 2013
ReliefF-ML: an extension of ReliefF algorithm to multi-label learning OGR Pupo, C Morell, SV Soto. 2013
Predicting school failure and dropout by using data mining techniques C Márquez-Vera, CR Morales, SV Soto. 2013
A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets C Romero, JL Olmo, S Ventura. 2013
Feature weighting on multi-label data through quadratic loss minimization OG Reyes Pupo, C Morell Pérez, S Ventura Soto. 2013
High performance evaluation of evolutionary-mined association rules on GPUs A Cano, JM Luna, S Ventura. 2013
Grammar-based multi-objective algorithms for mining association rules JM Luna, JR Romero, S Ventura. 2013
Mining association rules with single and multi-objective grammar guided ant programming JL Olmo, JM Luna, JR Romero, S Ventura. 2013
A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data C Romero, C Castro, S Ventura. 2013
Discovering subgroups by means of genetic programming JM Luna, JR Romero, C Romero, S Ventura. 2013
Parallel multi-objective ant programming for classification using GPUs A Cano, JL Olmo, S Ventura. 2013
WIREs Data Mining Knowl Discov C Romero, S Ventura. 2013
A novel component identification approach using evolutionary programming A Ramírez, JR Romero, S Ventura. 2013
Predicting students’ final performance from participation in on-line discussion forums. Computers&Education. 68 (2013) C ROMERO, MI LÓPEZ, JM LUNA, S VENTURA. 2013
On the use of ant programming for mining rare association rules JL Olmo, JR Romero, S Ventura. 2013
Propuesta de asignatura para el máster de formación del profesorado: plataformas de enseñanza virtual JLÁ Jiménez, JCG Granados, S Ventura. 2013
Programación Automática con Colonias de Hormigas Multi-Objetivo en GPUs A Cano, JL Olmo, S Ventura. 2013
Introducción a la Programación: Metodología y Experiencia de Evaluación Tras la Implantación del EEES E Gibaja, M Luque, A Zafra, S Ventura. 2013
Nuevos campos de aplicación: minería de datos educativos S Ventura Soto. 2013
Una secuencia didáctica basada en modelación matemática S Soto. 2013
Identificación de Componentes en Arquitecturas Software Mediante Programación Evolutiva A Ramırez, JR Romero, S Ventura. 2013
Speeding up the evaluation phase of GP classification algorithms on GPUs A Cano, A Zafra, S Ventura. 2012
ReliefF-MI: An extension of ReliefF to multiple instance learning A Zafra, M Pechenizkiy, S Ventura. 2012
Multi-instance genetic programming for predicting student performance in web based educational environments A Zafra, SN Ventura. 2012
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems A Zafra, S Ventura. 2012
Predicción del rendimiento académico en las nuevas titulaciones de grado de la EPS de la Universidad de Córdoba C Romero, A Zafra, E Gibaja, M Luque, S Ventura. 2012
Learning similarity metric to improve the performance of lazy multi-label ranking algorithms O Reyes, C Morell, S Ventura. 2012
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules JM Luna, JR Romero, S Ventura. 2012
Classification via clustering for predicting final marks based on student participation in forums MI López, JM Luna, C Romero, S Ventura. 2012
A genetic programming free-parameter algorithm for mining association rules JM Luna, JR Romero, C Romero, S Ventura. 2012
Predicción del Fracaso Escolar mediante Técnicas de Minería de Datos CM Vera, CR Morales, SV Soto. 2012
Meta-learning approach for automatic parameter tuning: A case study with educational datasets MM Molina, JM Luna, C Romero, S Ventura. 2012
Classification rule mining using ant programming guided by grammar with multiple Pareto fronts JL Olmo, JR Romero, S Ventura. 2012
Programming with Annotated Grammar Estimation Y Hasegawa. 2012
Genetic Programming: New Approaches and Successful Applications S Ventura. 2012
Binary and multiclass imbalanced classification using multi-objective ant programming JL Olmo, A Cano, JR Romero, S Ventura. 2012
Multi-objective ant programming for mining classification rules JL Olmo, JR Romero, S Ventura. 2012
VisualJCLEC: A visual framework for evolutionary computation JI Jaen, JR Romero, S Ventura. 2012
Data Mining Algorithms to Classify Students-accessed from http://sci2s. ugr. es/keel/pdf/specific/congreso C Romero, S Ventura, PG Espejo, C Hervás. 2012
Deteccion de intrusos a partir de reglas de asociacion: un estudio preliminar A Ramırez, JM Luna, JR Romero, S Ventura. 2012
ReliefF-MI: un método de selección de caracterısticas para aprendizaje con múltiples instancias A Zafra, S Ventura. 2012
Minerıa de reglas de asociación poco frecuentes con programación genética JM Luna, JL Olmo, JR Romero, S Ventura. 2012
Programacion con Hormigas Multi-Objetivo para la Extraccion de Reglas de Clasificacion JL Olmo, A Cano, JR Romero, S Ventura. 2012
Estudio de la clasificación de textos usando aprendizaje con múltiples instancias R Moral, A Zafra, S Ventura. 2012
12th International Conference of Intelligent Systems Design and Applications (ISDA 2012) A Abraham, A Zomaya, S Ventura, R Yager, V Snasel, AK Muda, .... 2012
Subgroup discovery in an e-learning usage study based on Moodle CJ Carmona, P González, MJ Del Jesus, S Ventura. 2011
Soft Computing Techniques in Data Mining. J Alcalá-Fdez, F Herrera, H Ishibuchi, Y Kaisho, Y Nojima, BC Chien, .... 2011
Multiple instance learning for classifying students in learning management systems A Zafra, C Romero, S Ventura. 2011
Multiple instance learning with multiple objective genetic programming for web mining A Zafra, EL Gibaja, S Ventura. 2011
A parallel genetic programming algorithm for classification A Cano, A Zafra, S Ventura. 2011
An EP algorithm for learning highly interpretable classifiers A Cano, A Zafra, S Ventura. 2011
A Gene Expression Programming Algorithm for Multi-Label Classification. JL Ávila, EL Gibaja, A Zafra, S Ventura. 2011
An Evaluation of the Effectiveness of e-learning system as Support for Traditional Classes A Zafra, E Gibaja, M Luque, S Ventura. 2011
Self-evaluation first ECTS course in a programming subject E Gibaja, A Zafra, M Luque, S Ventura. 2011
Modelo gravitacional para clasificación A Cano, JM Luna, A Zafra, S Ventura. 2011
A collaborative educational association rule mining tool E García, C Romero, S Ventura, C De Castro. 2011
A Java desktop tool for mining Moodle data R Pedraza-Perez, C Romero, S Ventura. 2011
RM-Tool: A framework for discovering and evaluating association rules C Romero, JM Luna, JR Romero, S Ventura. 2011
Association rule mining in learning management systems E García, C Romero, S Ventura, C de Castro, T Calders. 2011
Basics of statistical analysis of interactions data from web-based learning environments J Sheard. 2011
Preface to the special issue on data mining for personalised educational systems C Romero, S Ventura. 2011
Association rule mining using a multi-objective grammar-based ant programming algorithm JL Olmo, JM Luna, JR Romero, S Ventura. 2011
Mining and representing rare association rules through the use of genetic programming JM Luna, JR Romero, S Ventura. 2011
JCLEC Meets WEKA! A Cano, JM Luna, JL Olmo, S Ventura. 2011
Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers JL Olmo, JR Romero, S Ventura. 2011
Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011 M Pechenizkiy, T Calders, C Conati, S Ventura, C Romero, J Stamper. 2011
EDM 2011: 4th international conference on educational data mining: Eindhoven, July 6-8, 2011: proceedings M Pechenizkiy, TGK Calders, C Conati, S Ventura, C Romero, J Stamper. 2011
Fourth International Conference on Educational Data Mining (EDM 2011) M Pecheniskiy, T Calders, C Conati, S Ventura, C Romero, J Stamper. 2011
Eleventh International Conference on Intelligent Systems Design and Applications (ISDA 2011) S Ventura, A Abraham, K Cios, C Romero, F Marcelloni, JM Benítez, .... 2011
Educational data mining and learning analytics: An updated survey C Romero, S Ventura. 2011
EDM 2011 4 th International Conference on Educational Data Mining M Pechenizkiy, T Calders, C Conati, S Ventura, C Romero, J Stamper. 2011
Evolutionary algorithms for subgroup discovery applied to e-learning data CJ Carmona, P González, MJ del Jesus, C Romero, S Ventura. 2010
Introduction to the experimental design in the data mining tool KEEL J Alcalá-Fdez, F Herrera, S García, MJ del Jesus, L Sánchez, .... 2010
G3P-MI: A genetic programming algorithm for multiple instance learning A Zafra, S Ventura. 2010
Solving classification problems using genetic programming algorithms on GPUs A Cano, A Zafra, S Ventura. 2010
Reducing dimensionality in multiple instance learning with a filter method A Zafra, M Pechenizkiy, S Ventura. 2010
Feature selection is the ReliefF for multiple instance learning A Zafra, M Pechenizkiy, S Ventura. 2010
Propuesta metodológica para la adaptación a las TICs de una asignatura dentro del marco del EEES E Gibaja, A Zafra, M Luque, S Ventura. 2010
Web usage mining for improving students performance in learning management systems A Zafra, S Ventura. 2010
Evolving multi-label classification rules with gene expression programming: a preliminary study JL Ávila-Jiménez, E Gibaja, S Ventura. 2010
A tdidt technique for multi-label classification E Gibaja, M Victoriano, JL Avila-Jimenez, S Ventura. 2010
Grammar guided genetic programming for multiple instance learning: an experimental study A Zafra, S Ventura. 2010
Speeding Up Evolutionary Learning Algorithms using GPUs A Cano, A Zafra, S Ventura Soto. 2010
Educational data mining: a review of the state of the art C Romero, S Ventura. 2010
Handbook of educational data mining C Romero, S Ventura, M Pechenizkiy, RSJ Baker. 2010
Mining rare association rules from e-learning data C Romero, JR Romero, JM Luna, S Ventura. 2010
Predicting school failure using data mining C Marquez-Vera, C Romero, S Ventura. 2010
Measuring correlation of strong symmetric association rules in educational data A Merceron, K Yacef, C Romero, S Ventura, M Pechenizkiy. 2010
Sequential pattern analysis of learning logs: Methodology and applications M Zhou, Y Xu, JC Nesbit, PH Winne. 2010
G3PARM: a grammar guided genetic programming algorithm for mining association rules JM Luna, JR Romero, S Ventura. 2010
Visualization in educational environments R Mazza. 2010
Modeling hierarchy and dependence among task responses in educational data mining B Junker, C Romero, S Ventura, S Viola, M Pechenizkiy, R Baker. 2010
An intruder detection approach based on infrequent rating pattern mining JM Luna, A Ramírez, JR Romero, S Ventura. 2010
Analysis of the effectiveness of G3PARM algorithm JM Luna, JR Romero, S Ventura. 2010
An automatic programming aco-based algorithm for classification rule mining JL Olmo, JM Luna, JR Romero, S Ventura. 2010
Chapter 7: Association Rule Mining in Learning Management Systems E García, C Romero, S Ventura, C Castro, T Calders. 2010
Process Mining from Educational Data C Romero, S Ventura, M Pechenizkiy, RSJ Baker. 2010
Class Association Rule Mining from Students’ Test Data C Romero, S Ventura, E Vasilyeva, M Pechenizkiy. 2010
A grammar based ant programming algorithm for mining classification rules JL Olmo, JR Romero, S Ventura. 2010
Multi-Instance Learning versus Single-Instance Learning for Predicting the Student’s Performance A Zafra, C Romero, S Ventura. 2010
Aceleración de problemas de clasificación con algoritmos de programación genética en GPU A Cano. 2010
Minerıa de reglas de asociación con programación genética gramatical JM Luna, JL Olmo, JR Romero, S Ventura. 2010
Introduction Handbook of Educational Data Mining (pp. 1-6) R Cristóbal, V Sebastian, P Mykola, S Ryan. 2010
Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data C Romero, P González, S Ventura, MJ Del Jesús, F Herrera. 2009
Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle C Romero, P González, S Ventura, MJ Del Jesús, F Herrera. 2009
KEEL: a software tool to assess evolutionary algorithms for data mining problems J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, .... 2009
A survey on the application of genetic programming to classification PG Espejo, S Ventura, F Herrera. 2009
Multi-instance genetic programming for web index recommendation A Zafra, C Romero, S Ventura, E Herrera-Viedma. 2009
Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems C Romero, S Ventura, A Zafra, P De Bra. 2009
Predicting academic achievement using multiple instance genetic programming A Zafra, C Romero, S Ventura. 2009
A niching algorithm to learn discriminant functions with multi-label patterns JL Ávila, EL Gibaja, A Zafra, S Ventura. 2009
Multi-label classification with gene expression programming JL Ávila, EL Gibaja, S Ventura. 2009
A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning A Zafra, S Ventura. 2009
Multi-Instance Learning with MultiObjective Genetic Programming A Zafra. 2009
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering E García, C Romero, S Ventura, C De Castro. 2009
Using mobile and web‐based computerized tests to evaluate university students C Romero, S Ventura, P De Bra. 2009
Collaborative Data Mining Tool for Education. E Garcia, C Romero, S Ventura, M Gea, C De Castro. 2009
Evaluating web based instructional models using association rule mining E García, C Romero, S Ventura, C De Castro. 2009
Predicting student grades in learning management systems with multiple instance genetic programming A Zafra, S Ventura. 2009
Participación ciudadana para la modernización del Estado: diagnóstico y propuestas ME Arntz, S Soto. 2009
Modelos de programación genética gramatical para aprendizaje con múltiples instancias A Zafra. 2009
Proceedings of the Second International Conference on Educational Data Mining EDM09 (Córdoba, Spain) C Romero, S Ventura, T Barnes, M Desmarais. 2009
Proceedings of the Second International Conference on Educational Data Mining (EDM 2009) T Barnes, M Desmarais, C Romero, S Ventura. 2009
Proceedings of the Second International Conference on Educational Data Mining. EDM09 (Córdoba, Spain) C Romero, S Ventura, T Barnes, M Desmarais. 2009
Data mining in course management systems: Moodle case study and tutorial C Romero, S Ventura, E García. 2008
Data mining algorithms to classify students C Romero, S Ventura, PG Espejo, C Hervás. 2008
Mining and visualizing visited trails in web-based educational systems C Romero, S Gutiérrez, M Freire, S Ventura. 2008
Analyzing rule evaluation measures with educational datasets: A framework to help the teacher S Ventura, C Romero, C Hervás. 2008
JCLEC: a Java framework for evolutionary computation S Ventura, C Romero, A Zafra, JA Delgado, C Hervás. 2008
Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining A Zafra, E Gibaja, S Ventura. 2008
Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning. (Collaborative recommender system using distributed rule … E García, C Romero, S Ventura, C de Castro. 2008
Programación en lenguaje CLIPS AC Cuenca, CG Martínez, PG Espejo, CR Morales, SV Soto. 2008
Minería de Datos en sistemas educativos S Ventura Soto. 2008
Educational Data Mining 2008 RSJ de Baker, T Barnes, JE Beck. 2008
Computer Science Department, Córdoba University, Spain “Data Mining Algorithms to Classify Students” C Romero, S Ventura, PG Espejo, C Hervás. 2008
Modelling User Preferences with Multi-Instance Genetic Programming A Zafra, S Ventura. 2008
Multiple instance learning with genetic programming for web mining A Zafra, S Ventura, E Herrera-Viedma, C Romero. 2007
Multi-objective genetic programming for multiple instance learning A Zafra, S Ventura. 2007
Educational data mining: A survey from 1995 to 2005 C Romero, S Ventura. 2007
Personalized links recommendation based on data mining in adaptive educational hypermedia systems C Romero, S Ventura, JA Delgado, P De Bra. 2007
Drawbacks and solutions of applying association rule mining in learning management systems E García, C Romero, S Ventura, T Calders. 2007
Authoring and management tools for adaptive educational hypermedia systems: The AHA! case study P De Bra, N Stash, D Smits, C Romero, S Ventura. 2007
Association rule mining in learning management systems: drawbacks and solutions E Garcia, C Romero, S Ventura, T Calders. 2007
Mining students data to analyze E-Learning behavior: A case study. KK Mishra, A Tripathi, AK Misra, M Bray, C Heiner, R Bakery, K Yacef, .... 2007
Sistemas de evaluación de los alumnos mediante test informatizados utilizando telefonía móvil C Gálvez Espinal, S Ventura Soto, C Romero Morales. 2007
Mining learner profile utilizing association rule for web-based learning diagnosis E García, C Romero, S Ventura, C de Castro, T Calders. 2007
Aprendizaje Multi-instancia con Programación Genética para Web Mining A Zafra, S Ventura, E Herrera-Viedma. 2007
Using sequential pattern mining for links recommendation in adaptive hypermedia educational systems CR Morales, ARP Pérez, SV Soto, CH Martınez, A Zafra. 2006
Web-based adaptive training simulator system for cardiac life support C Romero, S Ventura, EL Gibaja, C Hervás, F Romero. 2006
Data mining in e-learning C Romero, S Ventura. 2006
Using rules discovery for the continuous improvement of e-learning courses E García, C Romero, S Ventura, C de Castro. 2006
An authoring tool for building both mobile adaptable tests and web-based adaptive or classic tests C Romero, S Ventura, C Hervás, P De Bra. 2006
Rule mining with GBGP to improve web-based adaptive educational systems C Romero, S Ventura, C Hervas, P Gonzalez. 2006
Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA! C Romero Morales, S Ventura Soto, C Hervás-Martínez, I Ríder, .... 2006
Selection of Logical Operators for Inducing Comprehensible Knowledge. PG Espejo, C Hervas, S Ventura, C Romero. 2006
Evolutionary product-unit neural networks for classification FJ Martínez-Estudillo, C Hervás-Martínez, PAG Peña, .... 2006
Usando minería de datos para la contínua mejora de cursos de e-learning E García, C Romero, C de Castro, S Ventura. 2006
Data mining in E C Romero, S Ventura. 2006
Participación ciudadana WF Carnota, PA Maraniello. 2006
Data Mining in E-learning (Advances in Management Information), Wit Pr C Romero, S Ventura. 2006
Implantación de LDAP como sistema de autenticación centralizada JS Monedero, LM Aganzo, SV Soto. 2006
Sistema adaptable para la ejecución de tests informatizados en teléfonos móviles C Romero, JL Córdoba, S Ventura, C Hervás. 2006
Web mining for self-directed e-learning P Desikan, C DeLong, K Beemanapalli, A Bose, J Srivastava, C Romero, .... 2006
Sistema adaptable para la ejecución de test informatizados en teléfonos móviles CR Morales, JL Córdoba, S Ventura, CH Martínez. 2006
Induction of classification rules with grammar-based genetic programming PG Espejo, C Romero, S Ventura, C Hervás. 2005
Rule Discovery in web-based educational systems using Grammar-Based Genetic Programming C Romero, S Ventura, C Hervás, P González. 2005
AHA! MEETS SCORM C Romero, J Rider, S Ventura, C Hervás, P De Bra. 2005
Algoritmos evolutivos para descubrimiento de reglas de predicción en la mejora de sistemas educativos adaptativos basados en web C Romero, S Ventura, C de Castro, E García. 2005
Programación genética gramatical para el descubrimiento de reglas de clasificación PG Espejo, C Romero, C Hervás, S Ventura. 2005
Estado actual de la aplicación de la minería de datos a los sistemas de enseñanza basada en web C Romero Morales, S Ventura Soto, C Hervás Martínez. 2005
Sistema de consulta de notas a través de Páginas Web y de Telefonía Móvil D Cava Jiménez, C Romero Morales, C Soto, J Luis, S Ventura Soto. 2005
Extending AHA! CR Morales, SV Soto, CH Martínez, P de Bra. 2005
Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming Aspects A Zafra, S Ventura. 2005
Influencia de la elección de operadores lógicos en la comprensibilidad del conocimiento inducido PG Espejo, C Hervás, S Ventura. 2005
Knowledge discovery with genetic programming for providing feedback to courseware authors C Romero, S Ventura, P De Bra. 2004
An authoring tool for web-based adaptive and classic tests C Romero, S Martín-Palomo, P De Bra, S Ventura. 2004
Herramienta autor INDESAHC para la creación de cursos hipermedia adaptativos CDC Lozano, EG Salcines, CR Morales, ADC Orbea, SV Soto. 2004
Descubrimiento de reglas de predicción en sistemas de e-learning utilizando programación genética C Romero, S Ventura, C Hervás. 2004
Comparación de medidas de evaluación de reglas de asociación C Hervás-Martínez, C Romero, S Ventura. 2004
de Bra, P C Romero, S Ventura, C Hervás. 2004
Herramienta para el Descubrimiento de Reglas de Predicción en Educación basada en web CR Morales, SV Soto, C de Castro Lozano. 2004
Selección de medidas de evaluación de reglas obtenidas mediante programación genética basada en gramática C Hervás-Martínez, C Romero, S Ventura. 2004
Modelado de sistemas mediante modelos híbridos de funciones de base y computación evolutiva SE Ventura Soto, FJ Martínez Estudillo, R Castillo Gomariz, D Ortiz Boyer. 2004
Sistema de Desarrollo Integrado para Cursos Hipermedia Adaptativos (INDESAHC) C Castro-Lozano, E García-Salcines, S Romero, C. Ventura-Soto. 2004
Modelado de sistemas mediante modelos hıbridos de funciones de base y computacion evolutiva C Hervas, S Ventura, F Martınez, R del Castillo, D Ortız. 2004
Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using R Castillo Gomariz, C Hervas Martinez, S Ventura Soto, D Ortiz Boyer. 2004
Discovering prediction rules in AHA! courses C Romero, S Ventura, P De Bra, C De Castro. 2003
Aplicación de algoritmos evolutivos como técnica de minería de datos para la mejora de cursos hipermedia adaptativos basados en Web CR Morales, SV Soto, C De Castro. 2003
Application of crossover operators based on confidence interval in modeling problems using real-coding genetic algorithms R del Castillo Gomariz, CH Martínez, SV Soto, DO Boyer. 2003
Operadores de cruce por intervalo de confianza en problemas de modelado utilizando algoritmos genéticos con codificación real R del Castillo Gomariz, CH Martínez, SV Soto, DO Boyer. 2003
Using Genetic Algorithms for Data Mining in Web-Based Educational Systems C Romero, H Ng, S Ventura, C de Castro. 2003
Aplicación de técnicas de extracción de conocimiento para la mejora de cursos hipermedia adaptativos basados en web C Romero. 2003
A PLICACIÓN DE ALGORITMOS EVOLUTIVOS COMO TÉCNICA DE MINERÍA DE DATOS PARA LA MEJORA DE CURSOS HIPERMEDIA ADAPTATIVOS BASADOS EN WEB (Applying Evolutionary Algorithms as Data … CR Morales, SV Soto, C de Castro. 2003
Using genetic algorithms for data mining in web-based educational hypermedia systems C Romero, S Ventura, C De Castro, W Hall, MH Ng. 2002
Using knowledge levels with AHA! for discovering interesting relationships C Romero, P De Bra, S Ventura, C De Castro. 2002
Using knowledge levels with AHA! for discovering interesting relationship S Ventura, C Romero, P De Bra, C de Castro. 2002
JCLEC: Una biblioteca de clases java para computación evolutiva S Ventura, D Ortiz, C Hervás. 2002
Construcción de cursos hipermedia adaptativos basados en web utilizando AHA (Construction of Adaptive Hypermedia Web-Based Courses Using AHA) C ROMERO MORALES, S VENTURA, C DE CASTRO. 2002
Multiagent System for Distance Laboratory Simulation CR Morales, JLP Lozano, SV Soto, C de Castro Lozano, FV Serrano. 2002
Curso básico de Fortran 90 SV Soto, JLC Soto, CR Morales. 2000
Interacción con mundos VRML utilizando Java C Romero, S Ventura, C Castro. 2000
Operadores de cruce utilizando intervalos de confianza en modelos de superficie de respuesta C Hervás, D Ortiz, S Ventura. 1999
UNIX: Curso práctico C Romero Morales, S Ventura Soto, JL Cruz Soto. 1999
Computational neural networks for resolving nonlinear multicomponent systems based on chemiluminescence methods C Hervás, S Ventura, M Silva, D Pérez-Bendito. 1998
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético. C Hervás, S Ventura, J Martínez. 1998
Computational neural networks in conjunction with principal component analysis for resolving highly nonlinear kinetics S Ventura, M Silva, D Perez-Bendito, C Hervás. 1997
Estimation of parameters of kinetic compartmental models by use of computational neural networks S Ventura, M Silva, D Pérez-Bendito, C Hervás. 1997
Diseño de redes neuronales en métodos cinéticos S Ventura Soto. 1996
Artificial neural networks for estimation of kinetic analytical parameters S Ventura, M Silva, D Perez-Bendito, C Hervas. 1995
Multicomponent kinetic determinations using artificial neural networks S Ventura, M Silva, D Perez-Bendito, C Hervas. 1995
Estimación de parámetros en modelos compartamentales cinéticos mediante redes neuronales MD Pérez Bendito, M Silva Rodríguez, C Hervás Martínez, S Ventura Soto. 1995
Stopped-flow chemiluminescence spectrometry to improve the determination of pencillins based on the luminol-iodine reaction S Ventura, M Silva, D Pérez-Bendito. 1992

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