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Sebastián Ventura

Sebastián Ventura

Award Badge
Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
24329
World Ranking
3166
National Ranking
41

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2013 - ACM Senior Member

Overview

Sebastián Ventura is affiliated with the University of Córdoba in Spain and has conducted extensive research primarily in the field of Computer Science. Their publication record includes 141 works with a focus on several subfields such as Artificial Intelligence, Molecular Biology, Information Systems, Computer Science Applications, and Electrical and Electronic Engineering.

The main topics of their research have covered:

  • Online Learning and Analytics
  • Data Mining Algorithms and Applications
  • Machine Learning and Data Classification
  • Imbalanced Data Classification Techniques
  • Educational Technology and Assessment
  • RNA Research and Splicing
  • Rough Sets and Fuzzy Logic

Recent publications include:

  • Educational data mining and learning analytics: An updated survey, 2020, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • Epigenetic reprogramming at estrogen-receptor binding sites alters 3D chromatin landscape in endocrine-resistant breast cancer, 2020, Nature Communications
  • Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer, 2020, EBioMedicine
  • Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3, 2020, Brain
  • Handling imbalanced medical datasets: review of a decade of research, 2024, Artificial Intelligence Review

They have frequently published in venues such as:

  • IEEE Access
  • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • Information Sciences
  • Artificial Intelligence in Medicine
  • Knowledge-Based Systems

Among their book publications are:

  • Smart Applications and Data Analysis, 2022, Springer Science+Business Media
  • Genetic Algorithms, 2022, IntechOpen

Frequent coauthors include:

  • José María Luna
  • Jaime Meza
  • Justo P. Castaño
  • Raúl M. Luque
  • Krzysztof J. Cios

Ventura was awarded the ACM Senior Member distinction in 2013.

Best Publications

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

    Cristóbal Romero;Sebastián Ventura

  • Educational data mining: A survey from 1995 to 2005

    C. Romero;S. Ventura

  • KEEL: a software tool to assess evolutionary algorithms for data mining problems

    J. Alcalá-Fdez;L. Sánchez;S. García;M. J. del Jesus

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

    Cristóbal Romero;Sebastián Ventura;Enrique García

  • Data mining in education

    Cristobal Romero;Sebastian Ventura

  • Educational data mining and learning analytics: An updated survey

    Cristobal Romero;Sebastian Ventura

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

    Cristóbal Romero;Manuel-Ignacio López;Jose-María Luna;Sebastián Ventura

  • A Survey on the Application of Genetic Programming to Classification

    P.G. Espejo;S. Ventura;F. Herrera

  • Handbook of Educational Data Mining

    Cristobal Romero;Sebastian Ventura;Mykola Pechenizkiy;Ryan S.J.d. Baker

  • A Tutorial on Multilabel Learning

    Eva Gibaja;Sebastián Ventura

  • Data Mining Algorithms to Classify Students

    Cristóbal Romero;Sebastián Ventura;Pedro G. Espejo;César Hervás

  • Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records

    Beata Strack;Jonathan P. DeShazo;Chris Gennings;Juan L. Olmo

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

    Cristobal Romero;Cristobal Romero;Pedro G. Espejo;Amelia Zafra;Amelia Zafra;Jose Raul Romero

  • Early dropout prediction using data mining: a case study with high school students

    Carlos Márquez-Vera;Alberto Cano;Cristobal Romero;Amin Yousef Mohammad Noaman

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

    Carlos Márquez-Vera;Alberto Cano;Cristóbal Romero;Sebastián Ventura

  • Knowledge Discovery with Genetic Programming for Providing Feedback to Courseware Authors

    Cristóbal Romero;Sebastián Ventura;Paul De Bra

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

    Eva Gibaja;Sebastián Ventura;Sebastián Ventura

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

    Cristóbal Romero;Sebastián Ventura;Amelia Zafra;Paul de Bra

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

    Oscar Reyes;Carlos Morell;Sebastián Ventura

  • JCLEC: a Java framework for evolutionary computation

    Sebastián Ventura;Cristóbal Romero;Amelia Zafra;José A. Delgado

Frequent Co-Authors

Cristóbal Romero
Cristóbal Romero University of Córdoba
Mykola Pechenizkiy
Mykola Pechenizkiy Eindhoven University of Technology
Francisco Herrera
Francisco Herrera University of Granada
Krzysztof J. Cios
Krzysztof J. Cios Virginia Commonwealth University
Chris Cornelis
Chris Cornelis Ghent University
Toon Calders
Toon Calders University of Antwerp
Philippe Fournier-Viger
Philippe Fournier-Viger Shenzhen University
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Raúl M. Luque
Raúl M. Luque University of Córdoba
Justo P. Castaño
Justo P. Castaño University of Córdoba

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