Publicacións en colaboración con investigadores/as de University of Bari Aldo Moro (18)

2021

  1. An Overview of Fuzzy Systems

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 25-47

  2. Design and Validation of an Explainable Fuzzy Beer Style Classifier

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 169-217

  3. Designing Interpretable Fuzzy Systems

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 119-168

  4. Interpretability Constraints and Criteria for Fuzzy Systems

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 49-89

  5. Remarks and Prospects on Explainable Fuzzy Systems

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 219-225

  6. Revisiting Indexes for Assessing Interpretability of Fuzzy Systems

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 91-118

  7. Toward Explainable Artificial Intelligence Through Fuzzy Systems

    Studies in Computational Intelligence (Springer Science and Business Media Deutschland GmbH), pp. 1-23

2019

  1. Explainable Artificial Intelligence for Human-Centric Data Analysis in Virtual Learning Environments

    Communications in Computer and Information Science

  2. Paving the Way to Explainable Artificial Intelligence with Fuzzy Modeling: Tutorial

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Py4JFML: A Python wrapper for using the IEEE Std 1855-2016 through JFML

    IEEE International Conference on Fuzzy Systems

  4. The role of interpretable fuzzy systems in designing cognitive cities

    Studies in Systems, Decision and Control (Springer International Publishing), pp. 131-152

2015

  1. Interpretability of fuzzy systems: Current research trends and prospects

    Springer Handbook of Computational Intelligence (Springer Berlin Heidelberg), pp. 219-237

2012

  1. Modeling interpretable fuzzy rule-based classifiers for medical decision support

    Medical Applications of Intelligent Data Analysis: Research Advancements (IGI Global), pp. 255-272

2011

  1. An empirical study on interpretability indexes through multi-objective evolutionary algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Multi-objective design of highly interpretable fuzzy rule-based classifiers with semantic cointension

    IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems