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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

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Reference TypeJournal (article/letter/editorial)
TitleDRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems
JournalPattern Recognition
AuthorsGalar, MikelAuthor
Fernández, AlbertoAuthor
Barrenechea, EdurneAuthor
Herrera, FranciscoAuthor
Year2015 (January)Volume48
Issue1
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2014.07.023Search in ResearchGate
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Mindat Ref. ID9366002Long-form Identifiermindat:1:5:9366002:0
GUID0
Full ReferenceGalar, 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
Plain TextGalar, 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
In(2015, January) Pattern Recognition Vol. 48 (1) Elsevier BV

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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
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
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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, 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
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