Publicaciones en colaboración con investigadores/as de Universidad Central de Las Villas (19)

2024

  1. REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image

    Information Sciences, Vol. 654

2021

  1. Multiple instance classification: Bag noise filtering for negative instance noise cleaning

    Information Sciences, Vol. 579, pp. 388-400

2019

  1. Preface

    Studies in Fuzziness and Soft Computing

  2. Whale counting in satellite and aerial images with deep learning

    Scientific Reports, Vol. 9, Núm. 1

2018

  1. Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers

    BMC Bioinformatics, Vol. 19, Núm. 1

2016

  1. Fuzzy multi-instance classifiers

    IEEE Transactions on Fuzzy Systems, Vol. 24, Núm. 6, pp. 1395-1409

  2. Fuzzy rough classifiers for class imbalanced multi-instance data

    Pattern Recognition, Vol. 53, pp. 36-45

  3. Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm

    Engineering Applications of Artificial Intelligence, Vol. 48, pp. 134-139

  4. Multiple instance learning: Foundations and algorithms

    Springer International Publishing, pp. 1-233

2015

  1. An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species

    BioMed Research International, Vol. 2015

  2. IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification

    IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 5, pp. 1622-1637

2014

  1. A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation

    Knowledge-Based Systems, Vol. 59, pp. 173-181

  2. Knowledge engineering for rough sets based decision-making models

    International Journal of Intelligent Systems, Vol. 29, Núm. 9, pp. 823-835

2012

  1. Rough sets in the Soft Computing environment

    Information Sciences, Vol. 212, pp. 1-14

  2. SMOTE-FRST: A new resampling method using fuzzy rough set theory

    World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.

  3. SMOTE-RSB*: A hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

    Knowledge and Information Systems, Vol. 33, Núm. 2, pp. 245-265

  4. Variable mesh optimization for continuous optimization problems

    Soft Computing, Vol. 16, Núm. 3, pp. 511-525

2011

  1. Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems

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

2010

  1. SIFT-SS: An advanced steady-state multi-objective genetic fuzzy system

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