Sebastián Ventura

发表

Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks

César Hervás-Martínez, Sebastián Ventura, Manuel Silva, 1997, J. Chem. Inf. Comput. Sci..

Multi-target support vector regression via correlation regressor chains

Vojislav Kecman, Sebastián Ventura, Gabriella Melki, 2017, Inf. Sci..

An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2015, GECCO.

An evolutionary approach to build ensembles of multi-label classifiers

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2019, Inf. Fusion.

A comparative study of many-objective evolutionary algorithms for the discovery of software architectures

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2016, Empirical Software Engineering.

Predicting students' final performance from participation in on-line discussion forums

Sebastián Ventura, Cristóbal Romero, Manuel Ignacio López, 2013, Comput. Educ..

Reducing Dimensionality in Multiple Instance Learning with a Filter Method

Mykola Pechenizkiy, Sebastián Ventura, Amelia Zafra, 2010, HAIS.

Educational data mining: A survey from 1995 to 2005

Sebastián Ventura, Cristóbal Romero, Sebastián Ventura, 2007, Expert Syst. Appl..

JCLEC Meets WEKA!

Sebastián Ventura, Alberto Cano, José María Luna, 2011, HAIS.

Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems

Sebastián Ventura, Paul De Bra, Cristóbal Romero, 2009, Comput. Educ..

Multi-objective genetic programming for feature extraction and data visualization

Krzysztof J. Cios, Sebastián Ventura, Alberto Cano, 2015, Soft Computing.

Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods

César Hervás-Martínez, Sebastián Ventura, Manuel Silva, 1998, J. Chem. Inf. Comput. Sci..

Ant Programming Algorithms for Classification

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2014 .

On the effect of local search in the multi-objective evolutionary discovery of software architectures

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Mining association rules with single and multi-objective grammar guided ant programming

Sebastián Ventura, José Raúl Romero, José María Luna, 2013, Integr. Comput. Aided Eng..

An intruder detection approach based on infrequent rating pattern mining

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Educational Data Mining: A Review of the State of the Art

Sebastián Ventura, Cristóbal Romero, Sebastián Ventura, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

An evolutionary algorithm for mining rare association rules: A Big Data approach

Sebastián Ventura, José María Luna, Francisco Padillo, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Introduction to Pattern Mining

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

Sebastián Ventura, Carlos Morell, Oscar Gabriel Reyes Pupo, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Classification rule mining using ant programming guided by grammar with multiple Pareto fronts

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2012, Soft Comput..

An approach for the evolutionary discovery of software architectures

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2015, Inf. Sci..

Supervised Descriptive Pattern Mining

Sebastián Ventura, José María Luna, J. M. Luna, 2018, Springer International Publishing.

Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules

Sebastián Ventura, José Raúl Romero, José María Luna, 2011, Knowledge and Information Systems.

Discovering Prediction Rules in AHA! Courses

Sebastián Ventura, Paul De Bra, Cristóbal Romero, 2003, User Modeling.

Authoring and management tools for adaptive educational hypermedia systems : the AHA! case study

Sebastián Ventura, Pme Paul De Bra, David Smits, 2007 .

Data mining in education

Sebastián Ventura, Cristóbal Romero, Sebastián Ventura, 2013, WIREs Data Mining Knowl. Discov..

Supervised Local Pattern Mining

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

Speeding Up Classifier Chains in Multi-label Classification

Sebastián Ventura, Alberto Cano, Jose M. Moyano, 2019, IoTBDS.

Predicting Student Grades in Learning Management Systems with Multiple Instance Genetic Programming.

Sebastián Ventura, Amelia Zafra, Sebastián Ventura, 2009, EDM 2009.

A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets

Sebastián Ventura, Alberto Cano, José María Luna, 2016, HAIS.

WordificationMI: multi-relational data mining through multiple-instance propositionalization

Sebastián Ventura, Carlos Morell, Luis A. Quintero-Domínguez, 2019, Progress in Artificial Intelligence.

Pattern Mining with Evolutionary Algorithms

Sebastián Ventura, José María Luna, J. M. Luna, 2016, Springer International Publishing.

Multiobjective Approaches in Pattern Mining

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

Genetic Programming in Pattern Mining

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce

Sebastián Ventura, José María Luna, Francisco Padillo, 2016, 2016 IEEE Trustcom/BigDataSE/ISPA.

Feature selection is the ReliefF for multiple instance learning

Mykola Pechenizkiy, Sebastián Ventura, Amelia Zafra, 2010, 2010 10th International Conference on Intelligent Systems Design and Applications.

Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce

Sebastián Ventura, José María Luna, Francisco Padillo, 2016, ISDA.

Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records

Philippe Fournier-Viger, Sebastián Ventura, José María Luna, 2020, IEEE Access.

A Survey on the Application of Genetic Programming to Classification

Francisco Herrera, Sebastián Ventura, Pedro G. Espejo, 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Proceedings of the International Conference on Educational Data Mining (EDM) (8th, Madrid, Spain, June 26-29, 2015).

Jesus G. Boticario, Arnon Hershkovitz, Mykola Pechenizkiy, 2015, EDM 2015.

A novel component identification approach using evolutionary programming

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2013, GECCO.

Tweet Coupling: a social media methodology for clustering scientific publications

Francisco Herrera, Sebastián Ventura, Umair Ali, 2020, Scientometrics.

MIRSVM: Multi-instance support vector machine with bag representatives

Sebastián Ventura, Gabriella Melki, Alberto Cano, 2018, Pattern Recognit..

Discovering Subgroups by Means of Genetic Programming

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2013, EuroGP.

Multi‐label learning: a review of the state of the art and ongoing research

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, Sebastián Ventura, 2014, WIREs Data Mining Knowl. Discov..

Web usage mining for predicting final marks of students that use Moodle courses

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2013, Comput. Appl. Eng. Educ..

Multi-Objective Ant Programming for Mining Classification Rules

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2012, EuroGP.

Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Evaluating Web Based Instructional Models Using Association Rule Mining

Sebastián Ventura, Enrique García, Cristóbal Romero, 2009, UMAP.

Evaluation and comparison of open source software suites for data mining and knowledge discovery

Abdulrahman H. Altalhi, Sebastián Ventura, José María Luna, 2017, WIREs Data Mining Knowl. Discov..

Predicting Academic Achievement Using Multiple Instance Genetic Programming

Sebastián Ventura, Cristóbal Romero, Amelia Zafra, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

G3P-MI: A genetic programming algorithm for multiple instance learning

Sebastián Ventura, Amelia Zafra, Sebastián Ventura, 2010, Inf. Sci..

Association rule mining in learning management systems (Chapter 7)

Tgk Toon Calders, Sebastián Ventura, Cristóbal Romero, 2011, EDM 2011.

Speeding up the evaluation phase of GP classification algorithms on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2012, Soft Comput..

On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2014, IEEE Transactions on Cybernetics.

Class Association Rules

Sebastián Ventura, José María Luna, J. M. Luna, 2018 .

An EP algorithm for learning highly interpretable classifiers

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Using mobile and web‐based computerized tests to evaluate university students

Sebastián Ventura, Paul De Bra, Cristóbal Romero, 2009, Comput. Appl. Eng. Educ..

Speeding-Up Association Rule Mining With Inverted Index Compression

Mykola Pechenizkiy, Sebastián Ventura, Alberto Cano, 2016, IEEE Transactions on Cybernetics.

An ensemble-based method for the selection of instances in the multi-target regression problem

Habib Fardoun, Sebastián Ventura, Oscar Gabriel Reyes Pupo, 2018, Integr. Comput. Aided Eng..

A Java Desktop Tool for Mining Moodle Data

Sebastián Ventura, Cristóbal Romero, Rafael Pedraza Perez, 2011, EDM.

A locally weighted learning method based on a data gravitation model for multi-target regression

Habib Fardoun, Sebastián Ventura, Alberto Cano, 2018, Int. J. Comput. Intell. Syst..

Data Mining in E-learning

Sebastián Ventura, Cristóbal Romero, Sebastián Ventura, 2006 .

Drawbacks and solutions of applying association rule mining in learning management systems

Toon Calders, Sebastián Ventura, Enrique García, 2008 .

Optimization of quality measures in association rule mining: an empirical study

Habib Fardoun, Sebastián Ventura, José María Luna, 2018, Int. J. Comput. Intell. Syst..

Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, Cristóbal Romero, 2015, Int. J. Comput. Intell. Syst..

Scalable CAIM discretization on multiple GPUs using concurrent kernels

Krzysztof J. Cios, Sebastián Ventura, Alberto Cano, 2014, The Journal of Supercomputing.

Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms

Sebastián Ventura, José María Luna, Francisco Padillo, 2016, 2016 IEEE International Conference on Big Data (Big Data).

G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules

Sebastián Ventura, José Raúl Romero, José María Luna, 2010, IEEE Congress on Evolutionary Computation.

Data mining in course management systems: Moodle case study and tutorial

Sebastián Ventura, Enrique García, Cristóbal Romero, 2008, Comput. Educ..

GPU-parallel subtree interpreter for genetic programming

Sebastián Ventura, Alberto Cano, Sebastián Ventura, 2014, GECCO.

An Automatic Programming ACO-Based Algorithm for Classification Rule Mining

Sebastián Ventura, José Raúl Romero, José María Luna, 2010, PAAMS.

Statistical comparisons of active learning strategies over multiple datasets

Abdulrahman H. Altalhi, Sebastián Ventura, Oscar Gabriel Reyes Pupo, 2018, Knowl. Based Syst..

A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning

Sebastián Ventura, Amelia Zafra, 2009, HAIS.

Multi-instance genetic programming for predicting student performance in web based educational environments

Sebastián Ventura, Amelia Zafra, Sebastián Ventura, 2012, Appl. Soft Comput..

Genetic Programming - New Approaches and Successful Applications

Sebastián Ventura, 2012 .

Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance

Sebastián Ventura, Cristóbal Romero, 2019, IEEE Trans. Learn. Technol..

Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, Amelia Zafra, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining

Sebastián Ventura, Eva Lucrecia Gibaja Galindo, Amelia Zafra, 2011, Appl. Soft Comput..

RM-Tool: A framework for discovering and evaluating association rules

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2011, Adv. Eng. Softw..

Rule Discovery In Web-based EducationalSystems Using Grammar-Based GeneticProgramming

Sebastián Ventura, Cristóbal Romero, P. González, 2005 .

Review of ensembles of multi-label classifiers: Models, experimental study and prospects

Krzysztof J. Cios, Sebastián Ventura, Jose M. Moyano, 2018, Inf. Fusion.

Multi-objective Genetic Programming for Multiple Instance Learning

Sebastián Ventura, Amelia Zafra, 2007, ECML.

On the use of ant programming for mining rare association rules

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2013, 2013 World Congress on Nature and Biologically Inspired Computing.

Distributed multi-label feature selection using individual mutual information measures

Sebastián Ventura, Alberto Cano, Jorge Gonzalez-Lopez, 2020, Knowl. Based Syst..

An evolutionary algorithm for the discovery of rare class association rules in learning management systems

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2014, Applied Intelligence.

Weighted Data Gravitation Classification for Standard and Imbalanced Data

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2013, IEEE Transactions on Cybernetics.

Eleccin de Operadores Lgicos para la Induccin de Conocimiento Comprensible

Sebastián Ventura, Cristóbal Romero, César Hervás, 2006 .

Bag-Based Classification Methods

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Single and multi-objective ant programming for mining interesting rare association rules

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2014, Int. J. Hybrid Intell. Syst..

Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE

Sebastián Ventura, Alberto Cano, David Pinheiro, 2015, EPIA.

Special issue: Advances in learning schemes for function approximation

Pedro Antonio Gutiérrez, Emilio Corchado, Ajith Abraham, 2014, Neurocomputing.

J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice

Sebastián Ventura, Cristóbal Romero, 2015, Technol. Knowl. Learn..

Speeding up multiple instance learning classification rules on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2015, Knowledge and Information Systems.

A gene expression programming method for multi-target regression

Sebastián Ventura, José María Luna, Oscar Gabriel Reyes Pupo, 2018, LOPAL '18.

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming

María José del Jesús, Mykola Pechenizkiy, Sebastián Ventura, 2018, IEEE Transactions on Cybernetics.

Classification via clustering for predicting final marks starting from the student participation in Forums

Sebastián Ventura, Cristóbal Romero, José María Luna, 2012, EDM.

Multi-instance Regression

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

ur-CAIM: improved CAIM discretization for unbalanced and balanced data

Krzysztof J. Cios, Sebastián Ventura, Alberto Cano, 2016, Soft Comput..

Analysis of the Effectiveness of G3PARM Algorithm

Sebastián Ventura, José Raúl Romero, José María Luna, 2010, HAIS.

Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark

Sebastián Ventura, José María Luna, Francisco Padillo, 2017, Progress in Artificial Intelligence.

Multiple instance learning for classifying students in learning management systems

Sebastián Ventura, Cristóbal Romero, Amelia Zafra, 2011, Expert Syst. Appl..

MLDA: A tool for analyzing multi-label datasets

Sebastián Ventura, Jose M. Moyano, Eva Lucrecia Gibaja Galindo, 2017, Knowl. Based Syst..

Quality Measures in Pattern Mining

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009).

Michel C. Desmarais, Tiffany Barnes, Sebastián Ventura, 2009, EDM 2009.

An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming

Sebastián Ventura, Carlos Morell, Amin Y. Noaman, 2016, Int. J. Comput. Intell. Syst..

A Survey on Pre-Processing Educational Data

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2014 .

A collaborative educational association rule mining tool

Sebastián Ventura, Enrique García, Cristóbal Romero, 2011, Internet High. Educ..

Introduction to Evolutionary Computation

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

Educational data science in massive open online courses

Sebastián Ventura, Cristóbal Romero, Sebastián Ventura, 2016, WIREs Data Mining Knowl. Discov..

LAIM discretization for multi-label data

Sebastián Ventura, Alberto Cano, Eva Lucrecia Gibaja Galindo, 2016, Inf. Sci..

Associative Classification in Big Data through a G3P Approach

Sebastián Ventura, José María Luna, Francisco Padillo, 2019, IoTBDS.

Association rule mining using a multi-objective grammar-based ant programming algorithm

Sebastián Ventura, José Raúl Romero, José María Luna, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Handbook of Educational Data Mining

Mykola Pechenizkiy, Sebastián Ventura, Cristóbal Romero, 2010 .

Effective active learning strategy for multi-label learning

Sebastián Ventura, Carlos Morell, Oscar Gabriel Reyes Pupo, 2018, Neurocomputing.

A Parallel Genetic Programming Algorithm for Classification

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2011, HAIS.

Classification via clustering for predicting final marks starting from the student participation in Forums

Sebastián Ventura, Cristóbal Romero, Manuel Ignacio López, 2012, EDM.

Mining and representing rare association rules through the use of genetic programming

Sebastián Ventura, José Raúl Romero, José María Luna, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets

Sebastián Ventura, Cristóbal Romero, José María Luna, 2012, EDM.

EDM 2011: 4th international conference on educational data mining : Eindhoven, July 6-8, 2011 : proceedings

Cristina Conati, Tgk Toon Calders, Mykola Pechenizkiy, 2011, EDM 2011.

Instance-Based Classification Methods

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Using Rules Discovery for the Continuous Improvement of e-Learning Courses

Sebastián Ventura, Enrique García, Cristóbal Romero, 2006, IDEAL.

Preface to the special issue on data mining for personalised educational systems

Sebastián Ventura, Cristóbal Romero, 2011, User Modeling and User-Adapted Interaction.

Herramienta Autor para la Gestión de Tests Informatizados dentro del Sistema AHA

Sebastián Ventura, Cristóbal Romero Morales, César Hervás Martínez, 2006 .

Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming

Sebastián Ventura, Amelia Zafra, 2009, EDM.

A genetic programming free-parameter algorithm for mining association rules

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning

Mykola Pechenizkiy, Sebastián Ventura, Amelia Zafra, 2013, Inf. Sci..

Recommending degree studies according to students' attitudes in high school by means of subgroup discovery

Sebastián Ventura, José María Luna, Amin Y. Noaman, 2016, Int. J. Comput. Intell. Syst..

Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors

Sebastián Ventura, Paul De Bra, Cristóbal Romero, 2004, User Modeling and User-Adapted Interaction.

A classification module for genetic programming algorithms in JCLEC

Sebastián Ventura, Alberto Cano, José María Luna, 2015, J. Mach. Learn. Res..

VisualJCLEC: A visual framework for evolutionary computation

Sebastián Ventura, José Raúl Romero, Juan Ignacio Jaen, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Memetic Algorithms for the Automatic Discovery of Software Architectures

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2016, ISDA.

A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification

Sebastián Ventura, Alberto Cano, Eva Lucrecia Gibaja Galindo, 2013, EuroGP.

OLLAWV: OnLine Learning Algorithm using Worst-Violators

Vojislav Kecman, Sebastián Ventura, Gabriella Melki, 2018, Appl. Soft Comput..

Parallel evaluation of Pittsburgh rule-based classifiers on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2014, Neurocomputing.

A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data

Sebastián Ventura, Cristóbal Romero, Cristobal Castro, 2013, EDM.

A gene expression programming algorithm for discovering classification rules in the multi-objective space

Sebastián Ventura, Carlos Morell, Alain Guerrero-Enamorado, 2018, Int. J. Comput. Intell. Syst..

An advanced review on text mining in medicine

Sebastián Ventura, María Luque, José María Luna, 2019, WIREs Data Mining Knowl. Discov..

An interpretable classification rule mining algorithm

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2013, Inf. Sci..

Mining Exceptional Relationships Between Patterns

Sebastián Ventura, José María Luna, 2016 .

Binary and multiclass imbalanced classification using multi-objective ant programming

Sebastián Ventura, Alberto Cano, José Raúl Romero, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Scalability in Pattern Mining

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

On the adaptability of G3PARM to the extraction of rare association rules

Sebastián Ventura, José Raúl Romero, José María Luna, 2012, Knowledge and Information Systems.

High performance evaluation of evolutionary-mined association rules on GPUs

Sebastián Ventura, Alberto Cano, José María Luna, 2013, The Journal of Supercomputing.

DRAL: a tool for discovering relevant e-activities for learners

Sebastián Ventura, Cristóbal Romero, Amelia Zafra, 2012, Knowledge and Information Systems.

Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining

Michel C. Desmarais, Tiffany Barnes, Sebastián Ventura, 2009, EDM.

Class Association Rules Mining from Students' Test Data

Mykola Pechenizkiy, Sebastián Ventura, Cristóbal Romero, 2010, EDM.

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data

María José del Jesús, Francisco Herrera, Sebastián Ventura, 2009, Expert Syst. Appl..

Genetic Programming for Mining Association Rules in Relational Database Environments

Sebastián Ventura, Alberto Cano, José María Luna, 2015, Handbook of Genetic Programming Applications.

Association rule mining using genetic programming to provide feedback to instructors from multiple‐choice quiz data

Sebastián Ventura, Cristóbal Romero, José María Luna, 2012, Expert Syst. J. Knowl. Eng..

Evolutionary feature weighting to improve the performance of multi-label lazy algorithms

Sebastián Ventura, Carlos Morell, Oscar Gabriel Reyes Pupo, 2014, Integr. Comput. Aided Eng..

A survey of many-objective optimisation in search-based software engineering

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2019, J. Syst. Softw..

An ensemble-based approach for multi-view multi-label classification

Sebastián Ventura, Jose M. Moyano, Eva Lucrecia Gibaja Galindo, 2016, Progress in Artificial Intelligence.

Mining and Visualizing Visited Trails in Web-Based Educational Systems

Sebastián Ventura, Sergio Gutiérrez Santos, Cristóbal Romero, 2008, EDM.

Parallel multi-objective Ant Programming for classification using GPUs

Sebastián Ventura, Alberto Cano, Juan Luis Olmo, 2013, J. Parallel Distributed Comput..

Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems

Sebastián Ventura, Amelia Zafra, 2012, Soft Comput..

Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data

Sebastián Ventura, Oscar Gabriel Reyes Pupo, Sebastián Ventura, 2018, ACM Trans. Intell. Syst. Technol..

Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems

Sebastián Ventura, Paul De Bra, Cristóbal Romero, 2007, EC-TEL.

Swarm‐based metaheuristics in automatic programming: a survey

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2014, Wiley Interdiscip. Rev. Data Min. Knowl. Discov..

ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning

Sebastián Ventura, Carlos Morell, Oscar Gabriel Reyes Pupo, 2013, CIARP.

On the performance of multiple objective evolutionary algorithms for software architecture discovery

Sebastián Ventura, Aurora Ramírez, José Raúl Romero, 2014, GECCO.

Evaluating associative classification algorithms for Big Data

Sebastián Ventura, José María Luna, J. M. Luna, 2019, Big Data Analytics.

Discovering Students’ Engagement Behaviors in Confidence-based Assessment

Sebastián Ventura, Paolo Ceravolo, Rabia Maqsood, 2019, 2019 IEEE Global Engineering Education Conference (EDUCON).

Virtual learning environment to predict withdrawal by leveraging deep learning

Francisco Herrera, Sebastián Ventura, Saeed-Ul Hassan, 2019, Int. J. Intell. Syst..

Proceedings of the International Conference on Educational Data Mining (EDM) (4th, Eindhoven, the Netherlands, July 6-8, 2011).

Cristina Conati, Toon Calders, Mykola Pechenizkiy, 2011, EDM 2011.

Mining exceptional relationships with grammar-guided genetic programming

Mykola Pechenizkiy, Sebastián Ventura, José María Luna, 2015, Knowledge and Information Systems.

Grammar-based multi-objective algorithms for mining association rules

Sebastián Ventura, José Raúl Romero, José María Luna, 2013, Data Knowl. Eng..

Solving Classification Problems Using Genetic Programming Algorithms on GPUs

Sebastián Ventura, Alberto Cano, Amelia Zafra, 2010, HAIS.

An authoring tool for web-based adaptive and classic tests

Sebastián Ventura, Paul De Bra, Cristóbal Romero, 2004 .

Mining association rules on Big Data through MapReduce genetic programming

Francisco Herrera, Sebastián Ventura, José María Luna, 2017, Integr. Comput. Aided Eng..

Discovering useful patterns from multiple instance data

Sebastián Ventura, Alberto Cano, José María Luna, 2016, Inf. Sci..

Multiple Instance Learning

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016, Springer International Publishing.

Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2014, Integr. Comput. Aided Eng..

A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets

Sebastián Ventura, Cristóbal Romero, Juan Luis Olmo, 2013, EDM.

Data Mining in E-learning (Advances in Management Information)

Sebastián Ventura, Cristóbal Romero, 2006 .

Web Usage Mining for Improving Students Performance in Learning Management Systems

Sebastián Ventura, Amelia Zafra, 2010, IEA/AIE.

Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data

Mykola Pechenizkiy, Sebastián Ventura, José María Luna, 2018, IEEE Transactions on Cybernetics.

ReliefF-MI: An extension of ReliefF to multiple instance learning

Mykola Pechenizkiy, Sebastián Ventura, Amelia Zafra, 2012, Neurocomputing.

Pattern Mining with Genetic Algorithms

Sebastián Ventura, José María Luna, J. M. Luna, 2016 .

Modelling User Preferences with Multi-Instance Genetic Programming

Sebastián Ventura, Amelia Zafra, Sebastián Ventura, 2008 .

Multi-instance Classification

Francisco Herrera, Chris Cornelis, Sarah Vluymans, 2016 .

Grammar guided genetic programming for multiple instance learning: an experimental study

Sebastián Ventura, Amelia Zafra, Sebastián Ventura, 2010, GECCO '10.

An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains

Sebastián Ventura, Jose M. Moyano, Eva Lucrecia Gibaja Galindo, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Interactive multi-objective evolutionary optimization of software architectures

Sebastián Ventura, José Raúl Romero, Aurora Ramírez Quesada, 2018, Inf. Sci..

Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context

Sebastián Ventura, Carlos Morell, Oscar Gabriel Reyes Pupo, 2015, Neurocomputing.

An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering

Sebastián Ventura, Enrique García, Cristóbal Romero, 2009, User Modeling and User-Adapted Interaction.

Effective lazy learning algorithm based on a data gravitation model for multi-label learning

Sebastián Ventura, Carlos Morell, Oscar Gabriel Reyes Pupo, 2016, Inf. Sci..

Mining Rare Association Rules from e-Learning Data

Sebastián Ventura, José Raúl Romero, Cristóbal Romero, 2010, EDM.

Collaborative Data Mining Tool for Education

Sebastián Ventura, Miguel Gea Megías, Enrique García, 2009, EDM.

Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers

Sebastián Ventura, Jose M. Moyano, Sebastián Ventura, 2022, Inf. Fusion.

Peer assessment using soft computing techniques

Jaime Meza, Sebastián Ventura, Maricela Pinargote-Ortega, 2021, Journal of Computing in Higher Education.

A grammar based Ant Programming algorithm for mining classification rules

Sebastián Ventura, José Raúl Romero, Juan Luis Olmo, 2010, IEEE Congress on Evolutionary Computation.

Using Genetic Algorithms for Data Mining in Web-based Educational Hypermedia Systems

Muan Hong Ng, Sebastián Ventura, Wendy Hall, 2002 .