-
3
-
-
84904400137
-
Dynamic selection of classifiers - A comprehensive review
-
A.S. Britto, Jr., R. Sabourin, L.E.S. de Oliveira, Dynamic selection of classifiers - a comprehensive review, Pattern Recognit. 47 (11) (2014) 3665-3680.
-
(2014)
Pattern Recognit.
, vol.47
, Issue.11
, pp. 3665-3680
-
-
Britto, A.S.1
Sabourin, R.2
De Oliveira, L.E.S.3
-
4
-
-
38349135448
-
From dynamic classifier selection to dynamic ensemble selection
-
A.H.R. Ko, R. Sabourin, and A.S. Britto Jr. From dynamic classifier selection to dynamic ensemble selection Pattern Recognit. 41 2008 1735 1748
-
(2008)
Pattern Recognit.
, vol.41
, pp. 1735-1748
-
-
Ko, A.H.R.1
Sabourin, R.2
Britto, Jr.A.S.3
-
5
-
-
45549107002
-
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
-
E.M. Dos Santos, R. Sabourin, and P. Maupin A dynamic overproduce-and-choose strategy for the selection of classifier ensembles Pattern Recognit. 41 2008 2993 3009
-
(2008)
Pattern Recognit.
, vol.41
, pp. 2993-3009
-
-
Dos Santos, E.M.1
Sabourin, R.2
Maupin, P.3
-
6
-
-
84874022028
-
Dynamic selection approaches for multiple classifier systems
-
P.R. Cavalin, R. Sabourin, and C.Y. Suen Dynamic selection approaches for multiple classifier systems Neural Comput. Appl. 22 3-4 2013 673 688
-
(2013)
Neural Comput. Appl.
, vol.22
, Issue.34
, pp. 673-688
-
-
Cavalin, P.R.1
Sabourin, R.2
Suen, C.Y.3
-
7
-
-
84861630536
-
Logid an adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs
-
P.R. Cavalin, R. Sabourin, and C.Y. Suen Logid an adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs Pattern Recognit. 45 9 2012 3544 3556
-
(2012)
Pattern Recognit.
, vol.45
, Issue.9
, pp. 3544-3556
-
-
Cavalin, P.R.1
Sabourin, R.2
Suen, C.Y.3
-
8
-
-
79958833224
-
A probabilistic model of classifier competence for dynamic ensemble selection
-
T. Woloszynski, and M. Kurzynski A probabilistic model of classifier competence for dynamic ensemble selection Pattern Recognit. 44 2011 2656 2668
-
(2011)
Pattern Recognit.
, vol.44
, pp. 2656-2668
-
-
Woloszynski, T.1
Kurzynski, M.2
-
9
-
-
80255137251
-
Dynamic classifier ensemble model for customer classification with imbalanced class distribution
-
J. Xiao, L. Xie, C. He, and X. Jiang Dynamic classifier ensemble model for customer classification with imbalanced class distribution Expert Syst. Appl. 39 2012 3668 3675
-
(2012)
Expert Syst. Appl.
, vol.39
, pp. 3668-3675
-
-
Xiao, J.1
Xie, L.2
He, C.3
Jiang, X.4
-
10
-
-
80054716523
-
A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence
-
R.M.O. Cruz, G.D.C. Cavalcanti, T.I. Ren, A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence, in: Proceedings of the International Joint Conference on Neural Networks, 2011, pp. 1126-1133.
-
(2011)
Proceedings of the International Joint Conference on Neural Networks
, pp. 1126-1133
-
-
Cruz, R.M.O.1
Cavalcanti, G.D.C.2
Ren, T.I.3
-
11
-
-
84994037050
-
Dynamic classifier selection based on multiple classifier behaviour
-
G. Giacinto, and F. Roli Dynamic classifier selection based on multiple classifier behaviour Pattern Recognit. 34 2001 1879 1881
-
(2001)
Pattern Recognit.
, vol.34
, pp. 1879-1881
-
-
Giacinto, G.1
Roli, F.2
-
13
-
-
0036532571
-
Switching between selection and fusion in combining classifiers an experiment
-
L. Kuncheva Switching between selection and fusion in combining classifiers an experiment IEEE Trans. Syst. Man Cybern. 32 2 2002 146 156
-
(2002)
IEEE Trans. Syst. Man Cybern.
, vol.32
, Issue.2
, pp. 146-156
-
-
Kuncheva, L.1
-
14
-
-
19544364128
-
Dynamic classifier selection for effective mining from noisy data streams
-
X. Zhu, X. Wu, Y. Yang, Dynamic classifier selection for effective mining from noisy data streams, in: Proceedings of the 4th IEEE International Conference on Data Mining, 2004, pp. 305-312.
-
(2004)
Proceedings of the 4th IEEE International Conference on Data Mining
, pp. 305-312
-
-
Zhu, X.1
Wu, X.2
Yang, Y.3
-
15
-
-
13544267516
-
A dynamic classifier selection and combination approach to image region labelling
-
S. Singh, and M. Singh A dynamic classifier selection and combination approach to image region labelling Signal Process. Image Commun. 20 3 2005 219 231
-
(2005)
Signal Process. Image Commun.
, vol.20
, Issue.3
, pp. 219-231
-
-
Singh, S.1
Singh, M.2
-
16
-
-
0036543957
-
Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection
-
P.C. Smits Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection IEEE Trans. Geosci. Remote Sens. 40 4 2002 801 813
-
(2002)
IEEE Trans. Geosci. Remote Sens.
, vol.40
, Issue.4
, pp. 801-813
-
-
Smits, P.C.1
-
18
-
-
40649107213
-
Using accuracy and diversity to select classifiers to build ensembles
-
R.G.F. Soares, A. Santana, A.M.P. Canuto, M.C.P. de Souto, Using accuracy and diversity to select classifiers to build ensembles, in: Proceedings of the International Joint Conference on Neural Networks, 2006, pp. 1310-1316.
-
(2006)
Proceedings of the International Joint Conference on Neural Networks
, pp. 1310-1316
-
-
Soares, R.G.F.1
Santana, A.2
Canuto, A.M.P.3
De Souto, M.C.P.4
-
19
-
-
0036472946
-
A theoretical study on six classifier fusion strategies
-
L.I. Kuncheva A theoretical study on six classifier fusion strategies IEEE Trans. Pattern Anal. Mach. Intell. 24 2 2002 281 286
-
(2002)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.24
, Issue.2
, pp. 281-286
-
-
Kuncheva, L.I.1
-
21
-
-
45549107002
-
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
-
E.M. dos Santos, R. Sabourin, and P. Maupin A dynamic overproduce-and-choose strategy for the selection of classifier ensembles Pattern Recognit. 41 10 2008 2993 3009
-
(2008)
Pattern Recognit.
, vol.41
, Issue.10
, pp. 2993-3009
-
-
Dos Santos, E.M.1
Sabourin, R.2
Maupin, P.3
-
22
-
-
84910028027
-
Analyzing dynamic ensemble selection techniques using dissimilarity analysis
-
R.M.O. Cruz, R. Sabourin, G.D.C. Cavalcanti, Analyzing dynamic ensemble selection techniques using dissimilarity analysis, in: Artificial Neural Networks in Pattern Recognition ANNPR, 2014, pp. 59-70.
-
(2014)
Artificial Neural Networks in Pattern Recognition ANNPR
, pp. 59-70
-
-
Cruz, R.M.O.1
Sabourin, R.2
Cavalcanti, G.D.C.3
-
23
-
-
84874576203
-
Improving cross-validation based classifier selection using meta-learning
-
J.H. Krijthe, T.K. Ho, M. Loog, Improving cross-validation based classifier selection using meta-learning, in: International Conference on Pattern Recognition, 2012, pp. 2873-2876.
-
(2012)
International Conference on Pattern Recognition
, pp. 2873-2876
-
-
Krijthe, J.H.1
Ho, T.K.2
Loog, M.3
-
24
-
-
0035420134
-
Design of effective neural network ensembles for image classification purposes
-
G. Giacinto, and F. Roli Design of effective neural network ensembles for image classification purposes Image Vis. Comput. 19 9-10 2001 699 707
-
(2001)
Image Vis. Comput.
, vol.19
, Issue.910
, pp. 699-707
-
-
Giacinto, G.1
Roli, F.2
-
25
-
-
84874654480
-
Feature representation selection based on classifier projection space and oracle analysis
-
R.M.O. Cruz, G.D. Cavalcanti, I.R. Tsang, and R. Sabourin Feature representation selection based on classifier projection space and oracle analysis Exp. Syst. Appl. 40 9 2013 3813 3827
-
(2013)
Exp. Syst. Appl.
, vol.40
, Issue.9
, pp. 3813-3827
-
-
Cruz, R.M.O.1
Cavalcanti, G.D.2
Tsang, I.R.3
Sabourin, R.4
-
26
-
-
40649122292
-
Single and multi-objective genetic algorithms for the selection of ensemble of classifiers
-
E.M. dos Santos, R. Sabourin, P. Maupin, Single and multi-objective genetic algorithms for the selection of ensemble of classifiers, in: Proceedings of the International Joint Conference on Neural Networks, 2006, pp. 3070-3077.
-
(2006)
Proceedings of the International Joint Conference on Neural Networks
, pp. 3070-3077
-
-
Dos Santos, E.M.1
Sabourin, R.2
Maupin, P.3
-
27
-
-
85052001384
-
Focused ensemble selection: A diversity-based method for greedy ensemble selection
-
I. Partalas, G. Tsoumakas, I. Vlahavas, Focused ensemble selection: a diversity-based method for greedy ensemble selection, in: Proceeding of the 18th European Conference on Artificial Intelligence, 2008, pp. 117-121.
-
(2008)
Proceeding of the 18th European Conference on Artificial Intelligence
, pp. 117-121
-
-
Partalas, I.1
Tsoumakas, G.2
Vlahavas, I.3
-
28
-
-
0034830461
-
Decision templates for multiple classifier fusion an experimental comparison
-
L.I. Kuncheva, J.C. Bezdek, and R.P.W. Duin Decision templates for multiple classifier fusion an experimental comparison Pattern Recognit. 34 2001 299 314
-
(2001)
Pattern Recognit.
, vol.34
, pp. 299-314
-
-
Kuncheva, L.I.1
Bezdek, J.C.2
Duin, R.P.W.3
-
29
-
-
0010947411
-
Classifier combination for handprinted digit recognition
-
M. Sabourin, A. Mitiche, D. Thomas, G. Nagy, Classifier combination for handprinted digit recognition, in: Proceedings of the Second International Conference on Document Analysis and Recognition, 1993, pp. 163-166.
-
(1993)
Proceedings of the Second International Conference on Document Analysis and Recognition
, pp. 163-166
-
-
Sabourin, M.1
Mitiche, A.2
Thomas, D.3
Nagy, G.4
-
30
-
-
24044449939
-
A study on the performances of dynamic classifier selection based on local accuracy estimation
-
L. Didaci, G. Giacinto, F. Roli, and G.L. Marcialis A study on the performances of dynamic classifier selection based on local accuracy estimation Pattern Recognit. 38 11 2005 2188 2191
-
(2005)
Pattern Recognit.
, vol.38
, Issue.11
, pp. 2188-2191
-
-
Didaci, L.1
Giacinto, G.2
Roli, F.3
Marcialis, G.L.4
-
32
-
-
0030211964
-
Bagging predictors
-
L. Breiman Bagging predictors Mach. Learn. 24 1996 123 140
-
(1996)
Mach. Learn.
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
36
-
-
79951829331
-
KEEL data-mining software tool data set repository, integration of algorithms and experimental analysis framework
-
J. Alcalá-Fdez, A. Fernández, J. Luengo, J. Derrac, and S. García KEEL data-mining software tool data set repository, integration of algorithms and experimental analysis framework Multiple-Valued Logic Soft Comput. 17 2-3 2011 255 287
-
(2011)
Multiple-Valued Logic Soft Comput.
, vol.17
, Issue.23
, pp. 255-287
-
-
Alcalá-Fdez, J.1
Fernández, A.2
Luengo, J.3
Derrac, J.4
García, S.5
-
38
-
-
0003663755
-
-
R.P.W. Duin, P. Juszczak, D. de Ridder, P. Paclik, E. Pekalska, D.M. Tax, Prtools, a matlab toolbox for pattern recognition, 2004. URL 〈 http://www.prtools.org 〉.
-
(2004)
Prtools, A Matlab Toolbox for Pattern Recognition
-
-
Duin, R.P.W.1
Juszczak, P.2
De Ridder, D.3
Paclik, P.4
Pekalska, E.5
Tax, D.M.6
-
39
-
-
77952024193
-
Dynamic selection of ensembles of classifiers using contextual information
-
P.R. Cavalin, R. Sabourin, and C.Y. Suen Dynamic selection of ensembles of classifiers using contextual information Multiple Classif. Syst. (2010 145 154
-
(2010)
Multiple Classif. Syst.
, pp. 145-154
-
-
Cavalin, P.R.1
Sabourin, R.2
Suen, C.Y.3
-
41
-
-
10444224737
-
Classifier selection for majority voting
-
D. Ruta, and B. Gabrys Classifier selection for majority voting Inf. Fusion 6 1 2005 63 81
-
(2005)
Inf. Fusion
, vol.6
, Issue.1
, pp. 63-81
-
-
Ruta, D.1
Gabrys, B.2
|