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Oliveira, Dayvid V.R., Cavalcanti, George D.C., Sabourin, Robert (2017) Online pruning of base classifiers for Dynamic Ensemble Selection. Pattern Recognition, 72. 44-58 doi:10.1016/j.patcog.2017.06.030

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Reference TypeJournal (article/letter/editorial)
TitleOnline pruning of base classifiers for Dynamic Ensemble Selection
JournalPattern Recognition
AuthorsOliveira, Dayvid V.R.Author
Cavalcanti, George D.C.Author
Sabourin, RobertAuthor
Year2017 (December)Volume72
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.06.030Search in ResearchGate
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Mindat Ref. ID9367088Long-form Identifiermindat:1:5:9367088:7
GUID0
Full ReferenceOliveira, Dayvid V.R., Cavalcanti, George D.C., Sabourin, Robert (2017) Online pruning of base classifiers for Dynamic Ensemble Selection. Pattern Recognition, 72. 44-58 doi:10.1016/j.patcog.2017.06.030
Plain TextOliveira, Dayvid V.R., Cavalcanti, George D.C., Sabourin, Robert (2017) Online pruning of base classifiers for Dynamic Ensemble Selection. Pattern Recognition, 72. 44-58 doi:10.1016/j.patcog.2017.06.030
In(2017) Pattern Recognition Vol. 72. Elsevier BV

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Cruz, Rafael M.O., Oliveira, Dayvid V.R., Cavalcanti, George D.C., Sabourin, Robert (2019) FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection. Pattern Recognition, 85. 149-160 doi:10.1016/j.patcog.2018.07.037
Souza, Mariana A., Cavalcanti, George D.C., Cruz, Rafael M.O., Sabourin, Robert (2019) Online local pool generation for dynamic classifier selection. Pattern Recognition, 85. 132-148 doi:10.1016/j.patcog.2018.08.004
Cruz, Rafael M.O., Sabourin, Robert, Cavalcanti, George D.C., Ing Ren, Tsang (2015) META-DES: A dynamic ensemble selection framework using meta-learning. Pattern Recognition, 48 (5). 1925-1935 doi:10.1016/j.patcog.2014.12.003
Britto, Alceu S., Sabourin, Robert, Oliveira, Luiz E.S. (2014) Dynamic selection of classifiers—A comprehensive review. Pattern Recognition, 47 (11). 3665-3680 doi:10.1016/j.patcog.2014.05.003
Ko, Albert H.R., Sabourin, Robert, Britto, Jr., Alceu Souza (2008) From dynamic classifier selection to dynamic ensemble selection. Pattern Recognition, 41 (5). 1718-1731 doi:10.1016/j.patcog.2007.10.015
Cruz, Rafael M. O., Souza, Mariana A., Sabourin, Robert, Cavalcanti, George D. C. (2019) Dynamic Ensemble Selection and Data Preprocessing for Multi-Class Imbalance Learning. International Journal of Pattern Recognition and Artificial Intelligence, 33. 1940009pp. doi:10.1142/s0218001419400093
Ko, Albert H.R., Sabourin, Robert, Britto, Alceu de Souza, Oliveira, Luiz (2007) Pairwise fusion matrix for combining classifiers. Pattern Recognition, 40 (8). 2198-2210 doi:10.1016/j.patcog.2007.01.031
Bertolini, D., Oliveira, L.S., Justino, E., Sabourin, R. (2010) Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers. Pattern Recognition, 43 (1). 387-396 doi:10.1016/j.patcog.2009.05.009
Brun, André L., Britto, Alceu S., Oliveira, Luiz S., Enembreck, Fabricio, Sabourin, Robert (2018) A framework for dynamic classifier selection oriented by the classification problem difficulty. Pattern Recognition, 76. 175-190 doi:10.1016/j.patcog.2017.10.038
Batista, Luana, Granger, Eric, Sabourin, Robert (2012) Dynamic selection of generative–discriminative ensembles for off-line signature verification. Pattern Recognition, 45 (4). 1326-1340 doi:10.1016/j.patcog.2011.10.011
Bashbaghi, Saman, Granger, Eric, Sabourin, Robert, Bilodeau, Guillaume-Alexandre (2017) Dynamic ensembles of exemplar-SVMs for still-to-video face recognition. Pattern Recognition, 69. 61-81 doi:10.1016/j.patcog.2017.04.014
 
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