Biography

Sebastián Ventura is Professor of Computing Sciences and Artificial Intelligence in the University of Córdoba. His teaching is devoted to computer programming, artificial intelligence and data mining in undergraduate and graduate (doctoral) studies. His research labor is developed as head of the Knowledge Discovery and Intelligent Systems (KDIS) research group, and it is focused on computational intelligence, data science and their applications.

• Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study | 2021

  Details PDF DOI

• Educational data mining and learning analytics: An updated survey | 2020

  Details DOI

• Review of ensembles of multi-label classifiers: Models, experimental study and prospects | 2018

  Details DOI

• Supervised Descriptive Pattern Mining | 2018

  Details DOI

• Evaluation and comparison of open source software suites for data mining and knowledge discovery | 2017

  Details DOI

• A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming | 2021

  Details PDF DOI

• Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers | 2021

  Details PDF DOI

• Classification Accuracy of Hepatitis C Virus Infection Outcome: Data Mining Approach | 2021

  Details PDF DOI

• Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study | 2021

  Details PDF DOI

• CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks | 2021

  Details PDF DOI

• Design of peer assessment rubrics for ICT topics | 2021

  Details PDF DOI

• Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug | 2021

  Details PDF DOI

• Improving the understanding of cancer in a descriptive way: An emerging pattern mining-based approach | 2021

  Details PDF DOI

• Introduction to the special issue on Methods and applications in the analysis of social data in healthcare | 2021

  Details PDF DOI

• Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules | 2021

  Details PDF DOI

• Ciencia de Datos Educativos

  Nov, 2019, I Campus de Formación en Biomedicina

• Ciencia de Datos y Mejora del Aprendizaje

  Mar, 2019, SYMDEX

• Big Data en los estudios de diabetes

  Jul, 2017, I Campus de Formación en Biomedicina

• More flexible representations in Data Mining. Plenary Talk

  Oct, 2016, SITA’16

• Data Analysis in Educational Systems. Plenary Talk

  Feb, 2016, NCC 2016

• Multiple Instance Learning: An Introduction. Big Data Meets Machine Learning

  May, 2015, Summer Training Workshop

• Mustafa A. Shafeea (started 2020) - Deep Learning Models with Multiple Instance Data

• Yaser M. Alasady (started 2020) - Design of an intelligent system for detection, identification, monitoring, forecasting and controlling of tomato pest Tuta Absoluta by using deep learning algorithms

• Ghaidaa Ali (started 2020) - Graph Representation by Using Machine Learning

• Roula Khafaji (started 2020) - Improving Predictive Analysis with Longitudinal Data using Deep Learning Models

• Antonio R. Moya (started 2020) - Improving the architecture and interpretability of Deep Neural Networks: an evolutionary computing approach.

• Zaid Zubair (started 2020) - New Challenges in the development of reusable machine learning models

• Aurora Esteban (started 2020) - Outiliers detection from an active learning perspective

• Mohammed Al-Twijri (started 2019) - Mode lling Course Difficulty Indexes to Enhance Students Performance and Course Study Plans

• Juan A. Marín (started 2019) - New Advances in Sequential Pattern Mining

• Mohammed Yahya (started 2019) - New Deep Learning Approaches in Anomaly Detection. Applications

• Francisco Padillo (2020) - New Challenges in Associative Classification: Big Data and Applications

• Carmen Luque-Guzman (2020) - Text Mining y Medicina: Una Aproximación a la Detección Temprana de Enfermedades

• José María Moyano (2020) - Multi-label Classification Models for Heterogeneous Data: an Ensemble-Based Approach

• Jorge Gonzalez-Lopez (2019) - Distributed Multi-Label Learning on Apache Spark

• Aurora Ramírez (2018) - Metaheuristic models to the development of decision support systems in software construction

• Gabriella Melki (2018) - Novel Support Vector Machines for Diverse Learning Paradigms

• Óscar G. Reyes (2016) - New hybrid learning models for multi-label classification and label ranking

• Carlos Marquez-Vera (2015) - Prediction of Student Dropout by Data Mining Techniques

• José M. Luna (2014) - New challenges in association rule mining: An approach based on genetic programming

• Alberto Cano (2014) - New Classification Models Based on Evolutionary Algorithms

• Knowledge and Information Systems - Associate Editor (since December 1, 2021)

• Progress in Artificial Intelligence - Editor in Chief (since January 1, 2020)

• Engineering Applications of Artificial Intelligente - Editorial Board Member (since January 1, 2019)

• Information Fusion - Editorial Board Member (since January 1, 2019)

• IEEE Transactions on Cybernetics - Associate editor (since January 1, 2015)

• Applied Computational Intelligence and Soft Computing - Associate editor (since January 1, 2011)

• 32nd IEEE International Symposium on Computer-Based Medical Systems - General Chair (June 5, 2019 - June 7, 2019)

• Eighth International Conference on Information Science and Technology - General Chair (June 30, 2018 - July 6, 2018)

• Fourth World Congress on Nature and Bioinspired Computing - International Advisory Board Member (December 5, 2012 - December 9, 2012)

• Twelve International Conference on Hybrid Intelligent System - Advisory Board Member (December 4, 2012 - December 7, 2012)

• Twelve International Conference on Intelligent Systems Design and Applications - General Chair (November 27, 2012 - November 29, 2012)

• Eleventh International Conference on Intelligent Systems Design and Applications - General Chair (November 22, 2011 - November 24, 2011)

• Fourth International Conference on Educational Data Mining - Program Chair (July 6, 2011 - July 8, 2011)

• Second International Conference on Educational Data Mining - General Chair (July 1, 2009 - July 3, 2009)

I am a teaching instructor for the following courses at University of Córdoba:

• Machine Learning (BSc Computer Science)
• Big Data (MSc Computer Science)

and at Menéndez Pelayo International University:

• Unsupervised Methods (MSc Research in Artificial Intelligence)

• sventura@uco.es
• +34-957212218
• Department of Computer Science and Numerical Analysis. University of Córdoba. Campus of Rabanales, Albert Einstein building, 3rd floor