Selected Publications

Recent Publications

More Publications

  • A semantically enriched text mining system for clinical decision support | 2020

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  • Combining multi-label classifiers based on projections of the output space using Evolutionary algorithms | 2020

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  • Distributed multi-label feature selection using individual mutual information measures | 2020

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  • Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer | 2020

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

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  • Heuristics for interesting class association rule mining a colorectal cancer database | 2020

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  • LAC: Library for associative classification | 2020

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  • Multi-view learning and genetic programming to obtain interpretable rule-based classifiers for semi-supervised contexts. Lessons learnt. | 2020

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  • Predicting literature's early impact with sentiment Analysis in Twitter | 2020

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  • A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data | 2019

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Recent & Upcoming Talks

Recent PhD students & graduates

More PhD students & graduates

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

  • 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

  • Paolo Cachi (started 2019) - New spiking neural network models for incremental learning applied to image classification and object recognition problems

  • Eduardo Perez (started 2018) - Automatic Diagnosis of Melanoma with Modern Machine Learning Techniques

  • Hermes Robles (started 2016) - New Clustering Methods Based on Evolutionary Computation

  • José Antonio Delgado (started 2016) - New Machine Learning Methods in Biomedicine

  • 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

Professional Activities

More Activities

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

  • Information Fusion - Editorial Board Member (since 2019)

  • Progress in Artificial Intelligence - Editorial Board Member (since 2019)

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

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

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

  • Eighth International Conference on Information Science and Technology - General Chair (2018)

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

  • Twelve International Conference on Hybrid Intelligent System - Advisory Board Member (2012)

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

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

  • Fourth International Conference on Educational Data Mining - Program Chair (2011)

  • Second International Conference on Educational Data Mining - General Chair (2009)

Teaching

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

  • Scientific Programming (BSc Physics)
  • Complex Data Mining (MSc Computer Science)
  • Web Intelligence (MSc Computer Science)
  • High Performance Programming (MSc Advanced Physics)
  • Metaheuristics (BSc Computing)

and at Menéndez Pelayo International University:

  • Unsupervised Methods (MSc Research in Artificial Intelligence)

Contact

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