Sebastián Ventura
Orcid: 0000-0003-4216-6378Affiliations:
- University of Córdoba, Spain
According to our database1,
Sebastián Ventura
authored at least 264 papers
between 1997 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
2024
Artif. Intell. Rev., October, 2024
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach.
Data Min. Knowl. Discov., May, 2024
A deep learning model for Alzheimer's disease diagnosis based on patient clinical records.
Comput. Biol. Medicine, February, 2024
Swarm Evol. Comput., 2024
Knowl. Based Syst., 2024
Data heterogeneity's impact on the performance of frequent itemset mining algorithms.
Inf. Sci., 2024
Introduction to the special issue on recent advances on digital economy-oriented artificial intelligence.
Eng. Appl. Artif. Intell., 2024
IEEE Access, 2024
Comprehensive Study on Sentiment Analysis: Insights Into Data Preprocessing, Feature Extraction, and Deep Learning Model Selection.
Proceedings of the Smart Applications and Data Analysis - 5th International Conference, 2024
2023
Knowl. Inf. Syst., December, 2023
Artif. Intell. Medicine, September, 2023
Mach. Learn. Knowl. Extr., June, 2023
Inf. Sci., May, 2023
A framework to build accurate Convolutional Neural Network models for melanoma diagnosis.
Knowl. Based Syst., 2023
Progressive growing of Generative Adversarial Networks for improving data augmentation and skin cancer diagnosis.
Artif. Intell. Medicine, 2023
A Case-Study Comparison of Machine Learning Approaches for Predicting Student's Dropout from Multiple Online Educational Entities.
Algorithms, 2023
Selecting the Best Approach for Predicting Student Dropout in Full Online Private Higher Education.
Proceedings of the Learning Analytics Summer Institute Spain 2023 (LASI Spain 2023), 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Proceedings of the Computer Analysis of Images and Patterns, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis.
Neural Comput. Appl., 2022
Knowl. Inf. Syst., 2022
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers.
Inf. Fusion, 2022
Subgroup discovery in MOOCs: a big data application for describing different types of learners.
Interact. Learn. Environ., 2022
Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach.
Int. J. Intell. Syst., 2022
CoRR, 2022
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns.
Cogn. Comput., 2022
Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification.
IEEE Access, 2022
Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming.
IEEE Access, 2022
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022
Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics, 2022
2021
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study.
Medical Image Anal., 2021
Introduction to the special issue on Methods and applications in the analysis of social data in healthcare.
Inf. Process. Manag., 2021
Performing multi-target regression via gene expression programming-based ensemble models.
Neurocomputing, 2021
CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks.
Frontiers Comput. Neurosci., 2021
A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming.
Expert Syst. Appl., 2021
Comput. Intell., 2021
2020
WIREs Data Mining Knowl. Discov., 2020
Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information.
IEEE Trans. Neural Networks Learn. Syst., 2020
Scientometrics, 2020
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms.
Knowl. Based Syst., 2020
Knowl. Based Syst., 2020
Distributed multi-label feature selection using individual mutual information measures.
Knowl. Based Syst., 2020
Heuristics for interesting class association rule mining a colorectal cancer database.
Inf. Process. Manag., 2020
Multi-view Genetic Programming Learning to Obtain Interpretable Rule-Based Classifiers for Semi-supervised Contexts. Lessons Learnt.
Int. J. Comput. Intell. Syst., 2020
A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis.
Artif. Intell. Medicine, 2020
Exceptional in so Many Ways - Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios.
IEEE Access, 2020
IEEE Access, 2020
Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020
Generating Ensembles of Multi-Label Classifiers Using Cooperative Coevolutionary Algorithms.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Tree-Shaped Ensemble of Multi-Label Classifiers using Grammar-Guided Genetic Programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
WIREs Data Mining Knowl. Discov., 2019
Guest Editorial: Special Issue on Early Prediction and Supporting of Learning Performance.
IEEE Trans. Learn. Technol., 2019
WordificationMI: multi-relational data mining through multiple-instance propositionalization.
Prog. Artif. Intell., 2019
Knowl. Based Syst., 2019
J. Syst. Softw., 2019
Inf. Fusion, 2019
Int. J. Neural Syst., 2019
Int. J. Intell. Syst., 2019
Eng. Appl. Artif. Intell., 2019
A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data.
Cogn. Comput., 2019
Proceedings of the 4th International Conference on Internet of Things, 2019
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
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
ACM Trans. Intell. Syst. Technol., 2018
IEEE Trans. Cybern., 2018
IEEE Trans. Cybern., 2018
Pattern Recognit., 2018
Knowl. Based Syst., 2018
J. Real Time Image Process., 2018
Inf. Sci., 2018
Review of ensembles of multi-label classifiers: Models, experimental study and prospects.
Inf. Fusion, 2018
A locally weighted learning method based on a data gravitation model for multi-target regression.
Int. J. Comput. Intell. Syst., 2018
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.
Integr. Comput. Aided Eng., 2018
Integr. Comput. Aided Eng., 2018
Distributed nearest neighbor classification for large-scale multi-label data on spark.
Future Gener. Comput. Syst., 2018
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
2017
WIREs Data Mining Knowl. Discov., 2017
Evaluation and comparison of open source software suites for data mining and knowledge discovery.
WIREs Data Mining Knowl. Discov., 2017
Soft Comput., 2017
Prog. Artif. Intell., 2017
Inf. Sci., 2017
Extremely high-dimensional optimization with MapReduce: Scaling functions and algorithm.
Inf. Sci., 2017
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
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
IEEE Trans. Cybern., 2016
Soft Comput., 2016
Prog. Artif. Intell., 2016
Knowl. Inf. Syst., 2016
Effective lazy learning algorithm based on a data gravitation model for multi-label learning.
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.
Empir. Softw. Eng., 2016
Expert Syst. J. Knowl. Eng., 2016
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016
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
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 (IEEE BigData 2016), 2016
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
Technol. Knowl. Learn., 2015
Knowl. Inf. Syst., 2015
J. Mach. Learn. Res., 2015
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
An evolutionary algorithm for the discovery of rare class association rules in learning management systems.
Appl. Intell., 2015
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
WIREs Data Mining Knowl. Discov., 2014
WIREs Data Mining Knowl. Discov., 2014
J. Supercomput., 2014
On the Use of Genetic Programming for Mining Comprehensible Rules in Subgroup Discovery.
IEEE Trans. Cybern., 2014
Knowl. Inf. Syst., 2014
Neurocomputing, 2014
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.
Integr. Comput. Aided Eng., 2014
Reducing gaps in quantitative association rules: A genetic programming free-parameter algorithm.
Integr. Comput. Aided Eng., 2014
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
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
J. Supercomput., 2013
IEEE Trans. Cybern., 2013
Knowl. Inf. Syst., 2013
J. Parallel Distributed Comput., 2013
Inf. Sci., 2013
Rev. Iberoam. de Tecnol. del Aprendiz., 2013
Mining association rules with single and multi-objective grammar guided ant programming.
Integr. Comput. Aided Eng., 2013
Association rule mining using genetic programming to provide feedback to instructors from multiple-choice quiz data.
Expert Syst. J. Knowl. Eng., 2013
Data Knowl. Eng., 2013
Predicting students' final performance from participation in on-line discussion forums.
Comput. Educ., 2013
Comput. Appl. Eng. Educ., 2013
Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data.
Appl. Intell., 2013
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Genetic Programming - 16th European Conference, 2013
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
Proceedings of the 6th International Conference on Educational Data Mining, 2013
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
Soft Comput., 2012
Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules.
Knowl. Inf. Syst., 2012
Neurocomputing, 2012
Rev. Iberoam. de Tecnol. del Aprendiz., 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
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
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
User Model. User Adapt. Interact., 2011
IEEE Trans. Syst. Man Cybern. Part B, 2011
J. Multiple Valued Log. Soft Comput., 2011
Expert Syst. Appl., 2011
Multiple Instance Learning with Multiple Objective Genetic Programming for Web Mining.
Appl. Soft Comput., 2011
Adv. Eng. Softw., 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
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the 4th International Conference on Educational Data Mining, 2011
Proceedings of the 4th International Conference on Educational Data Mining, 2011
2010
IEEE Trans. Syst. Man Cybern. Part C, 2010
IEEE Trans. Syst. Man Cybern. Part C, 2010
Inf. Sci., 2010
Proceedings of the Trends in Practical Applications of Agents and Multiagent Systems, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the Trends in Applied Intelligent Systems, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
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
Proceedings of the Educational Data Mining 2010, 2010
Proceedings of the Educational Data Mining 2010, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
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
Soft Comput., 2009
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.
Comput. Educ., 2009
Comput. Appl. Eng. Educ., 2009
Proceedings of the User Modeling, 2009
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
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
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
Proceedings of the Educational Data Mining, 2009
2008
Sistema recomendador colaborativo usando minería de datos distribuida para la mejora continua de cursos e-learning.
Rev. Iberoam. de Tecnol. del Aprendiz., 2008
Comput. Educ., 2008
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
Proceedings of the Educational Data Mining 2008, 2008
Proceedings of the Educational Data Mining 2008, 2008
2007
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
Proceedings of the Machine Learning: ECML 2007, 2007
2006
Artif. Intell. Medicine, 2006
Inteligencia Artif., 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
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
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 9th European Symposium on Artificial Neural Networks, 2001
1998
Computational Neural Networks for Resolving Nonlinear Multicomponent Systems Based on Chemiluminescence Methods.
J. Chem. Inf. Comput. Sci., 1998
Reconocimiento de funciones de producción láctea mediante redes neuronales podadas y entrenadas con un algoritmo genético.
Inteligencia Artif., 1998
1997
Estimation of Parameters of Kinetic Compartmental Models by Use of Computational Neural Networks.
J. Chem. Inf. Comput. Sci., 1997
Computational Neural Networks in Conjunction with Principal Component Analysis for Resolving Highly Nonlinear Kinetics.
J. Chem. Inf. Comput. Sci., 1997