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Krawczyk, Bartosz, Galar, Mikel, Woźniak, Michał, Bustince, Humberto, Herrera, Francisco (2018) Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognition, 83. 34-51 doi:10.1016/j.patcog.2018.05.015

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Reference TypeJournal (article/letter/editorial)
TitleDynamic ensemble selection for multi-class classification with one-class classifiers
JournalPattern Recognition
AuthorsKrawczyk, BartoszAuthor
Galar, MikelAuthor
Woźniak, MichałAuthor
Bustince, HumbertoAuthor
Herrera, FranciscoAuthor
Year2018 (November)Volume83
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2018.05.015Search in ResearchGate
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Mindat Ref. ID9367492Long-form Identifiermindat:1:5:9367492:6
GUID0
Full ReferenceKrawczyk, Bartosz, Galar, Mikel, Woźniak, Michał, Bustince, Humberto, Herrera, Francisco (2018) Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognition, 83. 34-51 doi:10.1016/j.patcog.2018.05.015
Plain TextKrawczyk, Bartosz, Galar, Mikel, Woźniak, Michał, Bustince, Humberto, Herrera, Francisco (2018) Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognition, 83. 34-51 doi:10.1016/j.patcog.2018.05.015
In(2018) Pattern Recognition Vol. 83. Elsevier BV

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Galar, Mikel, Fernández, Alberto, Barrenechea, Edurne, Bustince, Humberto, Herrera, Francisco (2013) Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers. Pattern Recognition, 46 (12). 3412-3424 doi:10.1016/j.patcog.2013.04.018
Galar, Mikel, Fernández, Alberto, Barrenechea, Edurne, Bustince, Humberto, Herrera, Francisco (2011) An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes. Pattern Recognition, 44 (8). 1761-1776 doi:10.1016/j.patcog.2011.01.017
Krawczyk, Bartosz, Woźniak, Michał, Herrera, Francisco (2015) On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. Pattern Recognition, 48 (12). 3969-3982 doi:10.1016/j.patcog.2015.06.001
Galar, Mikel, Fernández, Alberto, Barrenechea, Edurne, Herrera, Francisco (2015) DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems. Pattern Recognition, 48 (1). 28-42 doi:10.1016/j.patcog.2014.07.023
Sáez, José A., Krawczyk, Bartosz, Woźniak, Michał (2016) Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets. Pattern Recognition, 57. 164-178 doi:10.1016/j.patcog.2016.03.012
Krawczyk, Bartosz, Woźniak, Michał, Cyganek, Bogusław (2014) Clustering-based ensembles for one-class classification. Information Sciences, 264. 182-195 doi:10.1016/j.ins.2013.12.019
Galar, Mikel, Fernández, Alberto, Barrenechea, Edurne, Bustince, Humberto, Herrera, Francisco (2016) Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets. Information Sciences, 354. 178-196 doi:10.1016/j.ins.2016.02.056
Vluymans, Sarah, Sánchez Tarragó, Dánel, Saeys, Yvan, Cornelis, Chris, Herrera, Francisco (2016) Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognition, 53. 36-45 doi:10.1016/j.patcog.2015.12.002
Elkano, Mikel, Galar, Mikel, Sanz, Jose, Bustince, Humberto (2016) Fuzzy Rule-Based Classification Systems for multi-class problems using binary decomposition strategies: On the influence of n-dimensional overlap functions in the Fuzzy Reasoning Method. Information Sciences, 332. 94-114 doi:10.1016/j.ins.2015.11.006
Galar, Mikel, Fernández, Alberto, Barrenechea, Edurne, Herrera, Francisco (2014) Empowering difficult classes with a similarity-based aggregation in multi-class classification problems. Information Sciences, 264. 135-157 doi:10.1016/j.ins.2013.12.053
Uriz, Mikel, Paternain, Daniel, Bustince, Humberto, Galar, Mikel (2023) A supervised fuzzy measure learning algorithm for combining classifiers. Information Sciences, 622. 490-511 doi:10.1016/j.ins.2022.11.161
 
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