Publikationen in Zusammenarbeit mit Forschern von Universidad Central de Las Villas (29)

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. Incremental maintenance of discovered fuzzy association rules

    Fuzzy Optimization and Decision Making, Vol. 20, Núm. 4, pp. 429-449

  2. 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. Self-labeling techniques for semi-supervised time series classification: an empirical study

    Knowledge and Information Systems, Vol. 55, Núm. 2, pp. 493-528

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

    BMC Bioinformatics, Vol. 19, Núm. 1

2017

  1. DRIMS: A software tool to incrementally maintain previous discovered rules

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

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

  5. On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems

    Information Sciences, Vol. 328, pp. 42-59

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