Sebastián Ventura

According to our database1, Sebastián Ventura authored at least 194 papers between 1997 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
An advanced review on text mining in medicine.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2019

Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance.
TLT, 2019

WordificationMI: multi-relational data mining through multiple-instance propositionalization.
Progress in AI, 2019

LEAC: An efficient library for clustering with evolutionary algorithms.
Knowl.-Based Syst., 2019

A survey of many-objective optimisation in search-based software engineering.
Journal of Systems and Software, 2019

An evolutionary approach to build ensembles of multi-label classifiers.
Information Fusion, 2019

Virtual learning environment to predict withdrawal by leveraging deep learning.
Int. J. Intell. Syst., 2019

JCLEC-MO: A Java suite for solving many-objective optimization engineering problems.
Eng. Appl. of AI, 2019

A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data.
Cognitive Computation, 2019

Speeding Up Classifier Chains in Multi-label Classification.
Proceedings of the 4th International Conference on Internet of Things, 2019

Associative Classification in Big Data through a G3P Approach.
Proceedings of the 4th International Conference on Internet of Things, 2019

ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark.
Proceedings of the Computational Science - ICCS 2019, 2019

Discovering Students' Engagement Behaviors in Confidence-based Assessment.
Proceedings of the IEEE Global Engineering Education Conference, 2019

A Supervised Methodology for Analyzing Dysregulation in Splicing Machinery: An Application in Cancer Diagnosis.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

MiNerDoc: a Semantically Enriched Text Mining System to Transform Clinical Text into Knowledge.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Obtaining Tractable and Interpretable Descriptions for Cases with Complications from a Colorectal Cancer Database.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data.
ACM TIST, 2018

Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.
IEEE Trans. Cybernetics, 2018

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming.
IEEE Trans. Cybernetics, 2018

MIRSVM: Multi-instance support vector machine with bag representatives.
Pattern Recognition, 2018

Statistical comparisons of active learning strategies over multiple datasets.
Knowl.-Based Syst., 2018

Parallelization strategies for markerless human motion capture.
J. Real-Time Image Processing, 2018

Interactive multi-objective evolutionary optimization of software architectures.
Inf. Sci., 2018

Review of ensembles of multi-label classifiers: Models, experimental study and prospects.
Information Fusion, 2018

Effective active learning strategy for multi-label learning.
Neurocomputing, 2018

A locally weighted learning method based on a data gravitation model for multi-target regression.
Int. J. Comput. Intell. Syst., 2018

Optimization of quality measures in association rule mining: an empirical study.
Int. J. Comput. Intell. Syst., 2018

A gene expression programming algorithm for discovering classification rules in the multi-objective space.
Int. J. Comput. Intell. Syst., 2018

An ensemble-based method for the selection of instances in the multi-target regression problem.
Integrated Computer-Aided Engineering, 2018

Mining association rules on Big Data through MapReduce genetic programming.
Integrated Computer-Aided Engineering, 2018

Distributed nearest neighbor classification for large-scale multi-label data on spark.
Future Generation Comp. Syst., 2018

OLLAWV: OnLine Learning Algorithm using Worst-Violators.
Appl. Soft Comput., 2018

A gene expression programming method for multi-target regression.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

Supervised Descriptive Pattern Mining
Springer, ISBN: 978-3-319-98139-0, 2018

2017
Educational data science in massive open online courses.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2017

Evaluation and comparison of open source software suites for data mining and knowledge discovery.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2017

Multi-objective genetic programming for feature extraction and data visualization.
Soft Comput., 2017

Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark.
Progress in AI, 2017

MLDA: A tool for analyzing multi-label datasets.
Knowl.-Based Syst., 2017

Multi-target support vector regression via correlation regressor chains.
Inf. Sci., 2017

Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm.
Inf. Sci., 2017

Large-Scale Multi-label Ensemble Learning on Spark.
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

On the effect of local search in the multi-objective evolutionary discovery of software architectures.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

An evolutionary algorithm for mining rare association rules: A Big Data approach.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Multi-view semi-supervised learning using genetic programming interpretable classification rules.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Speeding-Up Association Rule Mining With Inverted Index Compression.
IEEE Trans. Cybernetics, 2016

ur-CAIM: improved CAIM discretization for unbalanced and balanced data.
Soft Comput., 2016

An ensemble-based approach for multi-view multi-label classification.
Progress in AI, 2016

Mining exceptional relationships with grammar-guided genetic programming.
Knowl. Inf. Syst., 2016

JCLAL: A Java Framework for Active Learning.
J. Mach. Learn. Res., 2016

Effective lazy learning algorithm based on a data gravitation model for multi-label learning.
Inf. Sci., 2016

Discovering useful patterns from multiple instance data.
Inf. Sci., 2016

LAIM discretization for multi-label data.
Inf. Sci., 2016

Recommending degree studies according to students' attitudes in high school by means of subgroup discovery.
Int. J. Comput. Intell. Syst., 2016

An Algorithm Evaluation for Discovering Classification Rules with Gene Expression Programming.
Int. J. Comput. Intell. Syst., 2016

A comparative study of many-objective evolutionary algorithms for the discovery of software architectures.
Empirical Software Engineering, 2016

Early dropout prediction using data mining: a case study with high school students.
Expert Systems, 2016

Subgroup Discovery on Big Data: Exhaustive Methodologies Using Map-Reduce.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Memetic Algorithms for the Automatic Discovery of Software Architectures.
Proceedings of the Intelligent Systems Design and Applications, 2016

Mining Perfectly Rare Itemsets on Big Data: An Approach Based on Apriori-Inverse and MapReduce.
Proceedings of the Intelligent Systems Design and Applications, 2016

A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Subgroup discovery on big data: Pruning the search space on exhaustive search algorithms.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

Pattern Mining with Evolutionary Algorithms
Springer, ISBN: 978-3-319-33858-3, 2016

Multiple Instance Learning - Foundations and Algorithms
Springer, ISBN: 978-3-319-47759-6, 2016

2015
Genetic Programming for Mining Association Rules in Relational Database Environments.
Proceedings of the Handbook of Genetic Programming Applications, 2015

J. A. Larusson, B. White (eds): Learning Analytics: From Research to Practice.
Technology, Knowledge and Learning, 2015

Speeding up multiple instance learning classification rules on GPUs.
Knowl. Inf. Syst., 2015

A classification module for genetic programming algorithms in JCLEC.
J. Mach. Learn. Res., 2015

An approach for the evolutionary discovery of software architectures.
Inf. Sci., 2015

Scalable extensions of the ReliefF algorithm for weighting and selecting features on the multi-label learning context.
Neurocomputing, 2015

Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets.
Int. J. Comput. Intell. Syst., 2015

A Tutorial on Multilabel Learning.
ACM Comput. Surv., 2015

An evolutionary algorithm for the discovery of rare class association rules in learning management systems.
Appl. Intell., 2015

Discovering clues to avoid middle school failure at early stages.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

An Extensible JCLEC-based Solution for the Implementation of Multi-Objective Evolutionary Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Synthesis of In-Place Iterative Sorting Algorithms Using GP: A Comparison Between STGP, SFGP, G3P and GE.
Proceedings of the Progress in Artificial Intelligence, 2015

2014
Swarm-based metaheuristics in automatic programming: a survey.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Multi-label learning: a review of the state of the art and ongoing research.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2014

Scalable CAIM discretization on multiple GPUs using concurrent kernels.
The Journal of Supercomputing, 2014

On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery.
IEEE Trans. Cybernetics, 2014

On the adaptability of G3PARM to the extraction of rare association rules.
Knowl. Inf. Syst., 2014

Foreword: Intelligent data analysis.
J. Comput. Syst. Sci., 2014

Special issue: Advances in learning schemes for function approximation.
Neurocomputing, 2014

Parallel evaluation of Pittsburgh rule-based classifiers on GPUs.
Neurocomputing, 2014

Single and multi-objective ant programming for mining interesting rare association rules.
Int. J. Hybrid Intell. Syst., 2014

Evolutionary feature weighting to improve the performance of multi-label lazy algorithms.
Integrated Computer-Aided Engineering, 2014

Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm.
Integrated Computer-Aided Engineering, 2014

Classification Rule Mining with Iterated Greedy.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

On the performance of multiple objective evolutionary algorithms for software architecture discovery.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

GPU-parallel subtree interpreter for genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Accepting or Rejecting Students_ Self-grading in their Final Marks by using Data Mining.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013
Data mining in education.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2013

High performance evaluation of evolutionary-mined association rules on GPUs.
The Journal of Supercomputing, 2013

Weighted Data Gravitation Classification for Standard and Imbalanced Data.
IEEE Trans. Cybernetics, 2013

DRAL: a tool for discovering relevant e-activities for learners.
Knowl. Inf. Syst., 2013

Parallel multi-objective Ant Programming for classification using GPUs.
J. Parallel Distrib. Comput., 2013

HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning.
Inf. Sci., 2013

An interpretable classification rule mining algorithm.
Inf. Sci., 2013

Predicting School Failure and Dropout by Using Data Mining Techniques.
IEEE-RITA, 2013

Mining association rules with single and multi-objective grammar guided ant programming.
Integrated Computer-Aided Engineering, 2013

Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data.
Expert Systems, 2013

Grammar-based multi-objective algorithms for mining association rules.
Data Knowl. Eng., 2013

Predicting students' final performance from participation in on-line discussion forums.
Computers & Education, 2013

Web usage mining for predicting final marks of students that use Moodle courses.
Comp. Applic. in Engineering Education, 2013

Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data.
Appl. Intell., 2013

On the use of ant programming for mining rare association rules.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

A novel component identification approach using evolutionary programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Discovering Subgroups by Means of Genetic Programming.
Proceedings of the Genetic Programming - 16th European Conference, 2013

A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification.
Proceedings of the Genetic Programming - 16th European Conference, 2013

A meta-learning approach for recommending a subset of white-box classification algorithms for Moodle datasets.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

A Moodle Block for Selecting, Visualizing and Mining Students' Usage Data.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

ReliefF-ML: An Extension of ReliefF Algorithm to Multi-label Learning.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Multi-objective approach based on grammar-guided genetic programming for solving multiple instance problems.
Soft Comput., 2012

Classification rule mining using ant programming guided by grammar with multiple Pareto fronts.
Soft Comput., 2012

Speeding up the evaluation phase of GP classification algorithms on GPUs.
Soft Comput., 2012

Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules.
Knowl. Inf. Syst., 2012

ReliefF-MI: An extension of ReliefF to multiple instance learning.
Neurocomputing, 2012

Predicción del Fracaso Escolar Mediante Técnicas de Minería de Datos.
IEEE-RITA, 2012

Multi-instance genetic programming for predicting student performance in web based educational environments.
Appl. Soft Comput., 2012

Learning similarity metric to improve the performance of lazy multi-label ranking algorithms.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Binary and multiclass imbalanced classification using multi-objective ant programming.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

A genetic programming free-parameter algorithm for mining association rules.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

VisualJCLEC: A visual framework for evolutionary computation.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012

Multi-Objective Ant Programming for Mining Classification Rules.
Proceedings of the Genetic Programming - 15th European Conference, 2012

Meta-learning Approach for Automatic Parameter Tuning: A case of study with educational datasets.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

Classification via clustering for predicting final marks starting from the student participation in Forums.
Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011
Preface to the special issue on data mining for personalised educational systems.
User Model. User-Adapt. Interact., 2011

Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

A Gene Expression Programming Algorithm for Multi-Label Classification.
Multiple-Valued Logic and Soft Computing, 2011

Multiple instance learning for classifying students in learning management systems.
Expert Syst. Appl., 2011

Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining.
Appl. Soft Comput., 2011

RM-Tool: A framework for discovering and evaluating association rules.
Advances in Engineering Software, 2011

Mining and representing rare association rules through the use of genetic programming.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

Association rule mining using a multi-objective grammar-based ant programming algorithm.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

An EP algorithm for learning highly interpretable classifiers.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A Parallel Genetic Programming Algorithm for Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

JCLEC Meets WEKA!
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

A Java Desktop Tool for Mining Moodle Data.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Predicting School Failure Using Data Mining.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010
Educational Data Mining: A Review of the State of the Art.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2010

A Survey on the Application of Genetic Programming to Classification.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2010

G3P-MI: A genetic programming algorithm for multiple instance learning.
Inf. Sci., 2010

An Automatic Programming ACO-Based Algorithm for Classification Rule Mining.
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2010

Feature selection is the ReliefF for multiple instance learning.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

An intruder detection approach based on infrequent rating pattern mining.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

A TDIDT technique for multi-label classification.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

Web Usage Mining for Improving Students Performance in Learning Management Systems.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Reducing Dimensionality in Multiple Instance Learning with a Filter Method.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Analysis of the Effectiveness of G3PARM Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Solving Classification Problems Using Genetic Programming Algorithms on GPUs.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Grammar guided genetic programming for multiple instance learning: an experimental study.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Class Association Rules Mining from Students' Test Data.
Proceedings of the Educational Data Mining 2010, 2010

Mining Rare Association Rules from e-Learning Data.
Proceedings of the Educational Data Mining 2010, 2010

A grammar based Ant Programming algorithm for mining classification rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering.
User Model. User-Adapt. Interact., 2009

KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput., 2009

Multi-instance genetic programming for web index recommendation.
Expert Syst. Appl., 2009

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl., 2009

Applying Web usage mining for personalizing hyperlinks in Web-based adaptive educational systems.
Computers & Education, 2009

Using mobile and web-based computerized tests to evaluate university students.
Comp. Applic. in Engineering Education, 2009

Evaluating Web Based Instructional Models Using Association Rule Mining.
Proceedings of the User Modeling, 2009

Predicting Academic Achievement Using Multiple Instance Genetic Programming.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Multi-label Classification with Gene Expression Programming.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming.
Proceedings of the Educational Data Mining, 2009

Collaborative Data Mining Tool for Education.
Proceedings of the Educational Data Mining, 2009

2008
JCLEC: a Java framework for evolutionary computation.
Soft Comput., 2008

Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning.
IEEE-RITA, 2008

Data mining in course management systems: Moodle case study and tutorial.
Computers & Education, 2008

Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Analyzing Rule Evaluation Measures with Educational Datasets: A Framework to Help the Teacher.
Proceedings of the Educational Data Mining 2008, 2008

Data Mining Algorithms to Classify Students.
Proceedings of the Educational Data Mining 2008, 2008

Mining and Visualizing Visited Trails in Web-Based Educational Systems.
Proceedings of the Educational Data Mining 2008, 2008

2007
Educational data mining: A survey from 1995 to 2005.
Expert Syst. Appl., 2007

Multiple Instance Learning with Genetic Programming for Web Mining.
Proceedings of the Computational and Ambient Intelligence, 2007

Personalized Links Recommendation Based on Data Mining in Adaptive Educational Hypermedia Systems.
Proceedings of the Creating New Learning Experiences on a Global Scale, 2007

Multi-objective Genetic Programming for Multiple Instance Learning.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Web-based adaptive training simulator system for cardiac life support.
Artificial Intelligence in Medicine, 2006

Selection of Logical Operators for Inducing Comprehensible Knowledge.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2006

Evolutionary Product-Unit Neural Networks for Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Using Rules Discovery for the Continuous Improvement of e-Learning Courses.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

An Authoring Tool for Building Both Mobile Adaptable Tests and Web-Based Adaptive or Classic Tests.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2006

2004
Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors.
User Model. User-Adapt. Interact., 2004

2003
Discovering Prediction Rules in AHA! Courses.
Proceedings of the User Modeling 2003, 2003

Application of Crossover Operators Based on Confidence Interval in Modeling Problems Using Real-Coding Genetic Algorithms.
Proceedings of the Current Topics in Artificial Intelligence, 2003

2001
A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures.
Proceedings of the ESANN 2001, 2001

1998
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods.
Journal of Chemical Information and Computer Sciences, 1998

Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1998

1997
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks.
Journal of Chemical Information and Computer Sciences, 1997

Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics.
Journal of Chemical Information and Computer Sciences, 1997


  Loading...