Publicaciones en colaboración con investigadores/as de Wrocław University of Technology (25)

2022

  1. Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams

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

2021

  1. How to design the fair experimental classifier evaluation

    Applied Soft Computing, Vol. 104

2020

  1. Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems

    Neurocomputing

2019

  1. Instance reduction for one-class classification

    Knowledge and Information Systems, Vol. 59, Núm. 3, pp. 601-628

  2. Monotonic classification: An overview on algorithms, performance measures and data sets

    Neurocomputing, Vol. 341, pp. 168-182

  3. Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference – Editorial

    Neurocomputing

2018

  1. Dynamic ensemble selection for multi-class classification with one-class classifiers

    Pattern Recognition, Vol. 83, pp. 34-51

  2. Multi-class imbalanced data oversampling for vertebral column pathologies classification

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

2017

  1. A survey on data preprocessing for data stream mining: Current status and future directions

    Neurocomputing, Vol. 239, pp. 39-57

  2. Multimodal optimization: An effective framework for model calibration

    Information Sciences, Vol. 375, pp. 79-97

  3. Nearest neighbor classification for high-speed big data streams using spark

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 47, Núm. 10, pp. 2727-2739

2016

  1. Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets

    Pattern Recognition, Vol. 57, pp. 164-178

  2. Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data

    Knowledge-Based Systems, Vol. 106, pp. 251-263

  3. Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy

    Applied Soft Computing Journal, Vol. 38, pp. 714-726

  4. INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control

    Information Fusion, Vol. 27, pp. 19-32

  5. On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods

    Applied Artificial Intelligence, Vol. 30, Núm. 6, pp. 590-609

  6. Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines

    2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016

2015

  1. On the usefulness of one-class classifier ensembles for decomposition of multi-class problems

    Pattern Recognition, Vol. 48, Núm. 12, pp. 3969-3982

  2. SRCS: Statistical ranking color scheme for visualizing parameterized multiple pairwise comparisons with R

    R Journal, Vol. 7, Núm. 2, pp. 89-104

  3. Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

    Knowledge-Based Systems, Vol. 90, pp. 153-164