Sebastián Ventura Soto

Category

Doctor

Contact

sventura@ucooz2@Z3.es

Organismo

UCO

Researcher Profile

Total From 2015:
Citas Total: 16094 From 2015: 10641
Índice H Total: 47 From 2015: 42
Índice i10 Total: 149 From 2015: 123

Papers (403)

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
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
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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