Coordinador en Ciencia de datos y Big Data

Sebastián Ventura Soto

Coordinación de Áreas, Highly Cited Researcher

Universidad de Córdoba

SCOPUS Highly Cited Research en el año 2020

En 2020 ha sido incluido en el listado de investigadores «World Scientist: World´s Top 2% Scientists” publicado en la prestigiosa revista Plos Biology en la que se recoge la elite mundial en el mundo de la investigación científica.

Publicaciones

An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis
AUTHORS: Eduardo Pérez; Sebastián Ventura

Neural Computing and Applications

Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers
AUTHORS: Jose M. Moyano; Sebastián Ventura

Information Fusion

Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns
AUTHORS: Mohammed Ibrahim Al-Twijri; José María Luna; Francisco Herrera; Sebastián Ventura

Cognitive Computation

Data mining in predictive maintenance systems: A taxonomy and systematic review

WIREs Data Mining and Knowledge Discovery

Facing Up Fare War: Generating Competitive Price Models With Gene Expression Programming
AUTHORS: Marco Antonio Barron; Jose Maria Luna; Sebastian Ventura

IEEE Access

Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach
AUTHORS: Antonio Manuel Trasierras; José María Luna; Sebastián Ventura

International Journal of Intelligent Systems

Modeling and predicting students’ engagement behaviors using mixture Markov models

Knowledge and Information Systems

Reducing the Label Space a Predefined Ratio for a More Efficient Multilabel Classification
AUTHORS: Jose M. Moyano; Jose M. Luna; Sebastian Ventura

IEEE Access

Smart Operators for Inducing Colorectal Cancer Classification Trees with PonyGE2 Grammatical Evolution Python Package
AUTHORS: Jose A. Delgado-Osuna; Carlos Garcia-Martinez; Sebastian Ventura
Subgroup discovery in MOOCs: a big data application for describing different types of learners

Interactive Learning Environments

Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach
AUTHORS: Mario Frias; Jose M Moyano; Antonio Rivero-Juarez; Jose M Luna; Ángela Camacho; Habib M Fardoun; Isabel Machuca; Mohamed Al-Twijri; Antonio Rivero; Sebastian Ventura

Journal of Medical Internet Research

Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules
AUTHORS: Eduardo Pérez; Sebastián Ventura

Cancers

Mining local periodic patterns in a discrete sequence
AUTHORS: Philippe Fournier-Viger; Peng Yang; Rage Uday Kiran; Sebastian Ventura; José María Luna

Information Sciences

Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach (Preprint)
AUTHORS: Mario Frias; Jose M Moyano; Antonio Rivero-Juarez; Jose M Luna; Ángela Camacho; Habib M Fardoun; Isabel Machuca; Mohamed Al-Twijri; Antonio Rivero; Sebastian Ventura
Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms
AUTHORS: Moyano, J.M.; Gibaja, E.L.; Cios, K.J.; Ventura, S.

Knowledge-Based Systems

Educational data mining and learning analytics: An updated survey

WIREs Data Mining and Knowledge Discovery

Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios
AUTHORS: Jose Maria Luna; Mykola Pechenizkiy; Wouter Duivesteijn; Sebastian Ventura

IEEE Access

Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records
AUTHORS: Jose Maria Luna; Philippe Fournier-Viger; Sebastian Ventura

IEEE Access

Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization
AUTHORS: Paolo Gabriel Cachi; Sebastián Ventura; Krzysztof Jozef Cios
Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3
AUTHORS: Antonio C Fuentes-Fayos; Mari C Vázquez-Borrego; Juan M Jiménez-Vacas; Leire Bejarano; Sergio Pedraza-Arévalo; Fernando L.-López; Cristóbal Blanco-Acevedo; Rafael Sánchez-Sánchez; Oscar Reyes; Sebastián Ventura; Juan Solivera; Joshua J Breunig; María A Blasco; Manuel D Gahete; Justo P Castaño; Raúl M Luque

Brain

A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data
AUTHORS: Padillo, F.; Luna, J.M.; Ventura, S.

Cognitive Computation

An evolutionary approach to build ensembles of multi-label classifiers
AUTHORS: Jose M. Moyano; Eva L. Gibaja; Krzysztof J. Cios; Sebastián Ventura

Information Fusion

Distributed Selection of Continuous Features in Multilabel Classification Using Mutual Information
AUTHORS: Jorge Gonzalez-Lopez; Sebastian Ventura; Alberto Cano

IEEE Transactions on Neural Networks and Learning Systems

Evaluating associative classification algorithms for Big Data
AUTHORS: Francisco Padillo; José María Luna; Sebastián Ventura

Big Data Analytics

Frequent itemset mining: A 25 years review
AUTHORS: José María Luna; Philippe Fournier‐Viger; Sebastián Ventura

WIREs Data Mining and Knowledge Discovery

WordificationMI: multi-relational data mining through multiple-instance propositionalization
AUTHORS: Luis A. Quintero-Domínguez; Carlos Morell; Sebastián Ventura

Progress in Artificial Intelligence

Apriori versions based on mapreduce for mining frequent patterns on big data
AUTHORS: Luna, J.M.; Padillo, F.; Pechenizkiy, M.; Ventura, S.

IEEE Transactions on Cybernetics

Distributed nearest neighbor classification for large-scale multi-label data on spark
AUTHORS: Jorge Gonzalez-Lopez; Sebastián Ventura; Alberto Cano

Future Generation Computer Systems

Effective active learning strategy for multi-label learning
AUTHORS: Oscar Reyes; Carlos Morell; Sebastián Ventura

Neurocomputing

Evolutionary Strategy to Perform Batch-Mode Active Learning on Multi-Label Data
AUTHORS: Oscar Reyes; Sebastián Ventura

ACM Transactions on Intelligent Systems and Technology

Interactive multi-objective evolutionary optimization of software architectures

Information Sciences

Mining context-aware association rules using grammar-based genetic programming
AUTHORS: Luna, J.M.; Pechenizkiy, M.; Del Jesus, M.J.; Ventura, S.

IEEE Transactions on Cybernetics

MIRSVM: Multi-instance support vector machine with bag representatives
AUTHORS: Gabriella Melki; Alberto Cano; Sebastián Ventura

Pattern Recognition

OLLAWV: OnLine Learning Algorithm using Worst-Violators
AUTHORS: Gabriella Melki; Vojislav Kecman; Sebastián Ventura; Alberto Cano

Applied Soft Computing

Statistical comparisons of active learning strategies over multiple datasets
AUTHORS: Oscar Reyes; Abdulrahman H. Altalhi; Sebastián Ventura

Knowledge-Based Systems

Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark
AUTHORS: Padillo, F.; Luna, J.M.; Ventura, S.

Progress in Artificial Intelligence

MLDA: A tool for analyzing multi-label datasets
AUTHORS: Moyano, Jose M.; Gibaja, Eva L.; Ventura, Sebastian

Knowledge-Based Systems

An ensemble-based approach for multi-view multi-label classification
AUTHORS: Eva L. Gibaja; Jose M. Moyano; Sebastián Ventura

Progress in Artificial Intelligence

Discovering useful patterns from multiple instance data
AUTHORS: Luna, J.M.; Cano, A.; Sakalauskas, V.; Ventura, S.

Information Sciences

Effective lazy learning algorithm based on a data gravitation model for multi-label learning
AUTHORS: Oscar Reyes; Carlos Morell; Sebastián Ventura

Information Sciences

LAIM discretization for multi-label data
AUTHORS: Cano, Alberto; Maria Luna, Jose; Gibaja, Eva L.; Ventura, Sebastian

Information Sciences

Speeding-Up Association Rule Mining with Inverted Index Compression
AUTHORS: Luna, J.M.; Cano, A.; Pechenizkiy, M.; Ventura, S.

IEEE Transactions on Cybernetics

A Tutorial on Multilabel Learning
AUTHORS: Gibaja, Eva; Ventura, Sebastian

Acm Computing Surveys

An approach for the evolutionary discovery of software architectures

Information Sciences

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

Applied Intelligence

Multi-objective genetic programming for feature extraction and data visualization
AUTHORS: Alberto Cano; Sebastián Ventura; Krzysztof J. Cios

Soft Comput

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

Neurocomputing

Evolutionary feature weighting to improve the performance of multi-label lazy algorithms
AUTHORS: Reyes, Oscar; Morell, Carlos; Ventura, Sebastian

Integrated Computer-Aided Engineering

Foreword: Intelligent data analysis

Journal of Computer and System Sciences

Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records
AUTHORS: Strack, Beata; DeShazo, Jonathan P.; Gennings, Chris; Olmo, Juan L.; Ventura, Sebastian; Cios, Krzysztof J.; Clore, John N.

Biomed Research International

On the adaptability of G3PARM to the extraction of rare association rules
AUTHORS: Luna, J.M.; Romero, J.R.; Ventura, S.

Knowledge and Information Systems

Parallel evaluation of Pittsburgh rule-based classifiers on GPUs

Neurocomputing

An interpretable classification rule mining algorithm

Information Sciences

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

Expert Systems

Data mining in education

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

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

Knowledge and Information Systems

Grammar-based multi-objective algorithms for mining association rules
AUTHORS: Luna, J.M.; Romero, J.R.; Ventura, S.

Data and Knowledge Engineering

High performance evaluation of evolutionary-mined association rules on GPUs
AUTHORS: Cano, A.; Luna, J.M.; Ventura, S.

Journal of Supercomputing

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

Information Sciences

Mining association rules with single and multi-objective grammar guided ant programming
AUTHORS: Olmo, J.L.; Luna, J.M.; Romero, J.R.; Ventura, S.

Integrated Computer-Aided Engineering

On the Use of Ant Programming for Mining Rare Association Rules
AUTHORS: Luis Olmo, Juan; Raul Romero, Jose; Ventura, Sebastian; IEEE

2013 World Congress on Nature and Biologically Inspired Computing (Nabic)

Parallel multi-objective Ant Programming for classification using GPUs
AUTHORS: Cano, Alberto; Luis Olmo, Juan; Ventura, Sebastian

Journal of Parallel and Distributed Computing

Predicting student failure at school using genetic programming and different data mining approaches with high dimensional and imbalanced data

Applied Intelligence

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

Computers and Education

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

Computer Applications in Engineering Education

Weighted data gravitation classification for standard and imbalanced data

Ieee Transactions on Cybernetics

A Genetic Programming Free-Parameter Algorithm for Mining Association Rules
AUTHORS: Maria Luna, Jose; Raul Romero, Jose; Romero, Cristobal; Ventura, Sebastian; Abraham, A; Zomaya, A; Ventura, S; Yager, R; Snasel, V; Muda, AK; Samuel, P

2012 12th International Conference on Intelligent Systems Design and Applications (Isda)

Binary and Multiclass Imbalanced Classification Using Multi-Objective Ant Programming
AUTHORS: Luis Olmo, Juan; Cano, Alberto; Raul Romero, Jose; Ventura, Sebastian; Abraham, A; Zomaya, A; Ventura, S; Yager, R; Snasel, V; Muda, AK; Samuel, P

2012 12th International Conference on Intelligent Systems Design and Applications (Isda)

Classification rule mining using ant programming guided by grammar with multiple Pareto fronts
AUTHORS: Olmo, J. L.; Romero, J. R.; Ventura, S.

Soft Computing

Design and behavior study of a grammar-guided genetic programming algorithm for mining association rules
AUTHORS: Luna, J.M.; Romero, J.R.; Ventura, S.

Knowledge and Information Systems

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

Applied Soft Computing

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

Soft Computing

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

Neurocomputing

Speeding up the evaluation phase of GP classification algorithms on GPUs

Soft Computing

VisualJCLEC: a visual framework for evolutionary computation
AUTHORS: Ignacio Jaen, Juan; Raul Romero, Jose; Ventura, Sebastian; Abraham, A; Zomaya, A; Ventura, S; Yager, R; Snasel, V; Muda, AK; Samuel, P

2012 12th International Conference on Intelligent Systems Design and Applications (Isda)

A collaborative educational association rule mining tool

Internet and Higher Education

A Gene Expression Programming Algorithm for Multi-Label Classification
AUTHORS: Avila, JL; Gibaja, EL; Zafra, A; Ventura, S

Journal of Multiple-Valued Logic and Soft Computing

A Parallel Genetic Programming Algorithm for Classification
AUTHORS: Cano, Alberto; Zafra, Amelia; Ventura, Sebastian; Corchado, E; Kurzynski, M; Wozniak, M

Hybrid Artificial Intelligent Systems, Part I

JCLEC Meets WEKA!
AUTHORS: Cano, A.; Luna, J. M.; Olmo, J. L.; Ventura, S.; Corchado, E; Kurzynski, M; Wozniak, M

Hybrid Artificial Intelligent Systems, Part I

Multiple instance learning for classifying students in learning management systems

Expert Systems With Applications

Multiple instance learning with multiple objective genetic programming for web mining

Applied Soft Computing

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

User Modeling and User-Adapted Interaction

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

Advances in Engineering Software

Using Ant Programming Guided by Grammar for Building Rule-Based Classifiers
AUTHORS: Luis Olmo, Juan; Raul Romero, Jose; Ventura, Sebastian

Ieee Transactions on Systems Man and Cybernetics Part B-Cybernetics

A Grammar Based Ant Programming Algorithm for Mining Classification Rules
AUTHORS: Olmo, JL; Romero, JR; Ventura, S

2010 Ieee Congress on Evolutionary Computation (Cec)

A Survey on the Application of Genetic Programming to Classification
AUTHORS: Espejo, PG; Herrera, F; Ventura, S

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS

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

Ieee Transactions on Systems Man and Cybernetics Part C-Applications and Reviews

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

Information Sciences

G3PARM: A Grammar Guided Genetic Programming Algorithm for Mining Association Rules
AUTHORS: Luna, JM; Romero, JR; Ventura, S

2010 Ieee Congress on Evolutionary Computation (Cec)

G3PARM: A Grammar Guided Genetic Programming Algorithm for Mining Association Rules
AUTHORS: Luna, JM; Romero, JR; Ventura, S

2010 Ieee Congress on Evolutionary Computation (Cec)

A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning
AUTHORS: ZAFRA, A; VENTURA, S

4th International Workshop on Hybrid Artificial Intelligence Systems

A Comparison of Multi-objective Grammar-Guided Genetic Programming Methods to Multiple Instance Learning
AUTHORS: ZAFRA, A; VENTURA, S

4th International Workshop on Hybrid Artificial Intelligence Systems

An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering
AUTHORS: GARCIA, E; ROMERO, C; VENTURA, S; et al.

USER MODELING AND USER-ADAPTED INTERACTION

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

COMPUTERS & EDUCATION

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data
AUTHORS: ROMERO, C; GONZALEZ, P; VENTURA, S; et al.

EXPERT SYSTEMS WITH APPLICATIONS

KEEL: a software tool to assess evolutionary algorithms for data mining problems
AUTHORS: ALCALA-FDEZ, J; SANCHEZ, L; GARCIA, S; et al.

SOFT COMPUTING

KEEL: a software tool to assess evolutionary algorithms for data mining problems
AUTHORS: ALCALA-FDEZ, J; SANCHEZ, L; GARCIA, S; et al.

SOFT COMPUTING

Multi-instance genetic programming for web index recommendation

Expert Systems with Applications

Multi-label Classification with Gene Expression Programming
AUTHORS: AVILA, JL; GIBAJA, EL; VENTURA, S

4th International Workshop on Hybrid Artificial Intelligence Systems

Predicting Academic Achievement Using Multiple Instance Genetic Programming
AUTHORS: Zafra, A; Romero, C; Ventura, S

2009 9th International Conference on Intelligent Systems Design and Applications

Using Mobile and Web-Based Computerized Tests to Evaluate University Students

COMPUTER APPLICATIONS IN ENGINEERING EDUCATION

Data mining in course management systems: Moodle case study and tutorial
AUTHORS: ROMERO, C; VENTURA, S; GARCIA, E

COMPUTERS & EDUCATION

JCLEC: a Java framework for evolutionary computation
AUTHORS: VENTURA, S; ROMERO, C; ZAFRA, A; et al.

SOFT COMPUTING

Educational data mining: A survey from 1995 to 2005
AUTHORS: ROMERO, C; VENTURA, S

EXPERT SYSTEMS WITH APPLICATIONS

Evolutionary product-unit neural networks for classification
AUTHORS: MARTINEZ-ESTUDILLO, FJ; HERVAS-MARTINEZ, C; PENA, PAG; et al.

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS

Web-based adaptive training simulator system for cardiac life support

ARTIFICIAL INTELLIGENCE IN MEDICINE

Rule discovery in web-based educational systems using grammar-based genetic programming
AUTHORS: ROMERO, C; VENTURA, S; HERVAS, C; et al.

6th Conference on Data Mining - Text Mining and Their Business Applications

Knowledge discovery with genetic programming for providing feedback to courseware authors

USER MODELING AND USER-ADAPTED INTERACTION

Discovering prediction rules in AHA! courses
AUTHORS: ROMERO, C; VENTURA, S; DE BRA, P; DE CASTRO, C

9th International Conference on User Modeling

Computational neural networks for resolving nonlinear multicomponent systems based on chemiluminescence methods
AUTHORS: HERVAS, C; VENTURA, S; SILVA, M; PEREZ-BENDITO, D

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES

Computational neural networks in conjunction with principal component analysis for resolving highly nonlinear kinetics
AUTHORS: VENTURA, S; SILVA, M; PEREZBENDITO, D; et al.

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES

Estimation of parameters of kinetic compartmental models by use of computational neural networks
AUTHORS: VENTURA, S; SILVA, M; PEREZBENDITO, D; HERVAS, C

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES

ARTIFICIAL NEURAL NETWORKS FOR ESTIMATION OF KINETIC ANALYTICAL PARAMETERS
AUTHORS: VENTURA, S; SILVA, M; PEREZBENDITO, D; et al.

ANALYTICAL CHEMISTRY

MULTICOMPONENT KINETIC DETERMINATIONS USING ARTIFICIAL NEURAL NETWORKS
AUTHORS: VENTURA, S; SILVA, M; PEREZBENDITO, D; HERVAS, C

ANALYTICAL CHEMISTRY