-
2
-
-
0032021555
-
On combining classifiers
-
J. Kittler, M. Hatef, R.P.W. Duin, and J. Matas On combining classifiers IEEE Transactions on Pattern Analysis and Machine Intelligence 20 3 1998 226 239 (Pubitemid 128741312)
-
(1998)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.3
, pp. 226-239
-
-
Kittler, J.1
Hatef, M.2
Duin, R.P.W.3
Matas, J.4
-
3
-
-
34547462683
-
Application of combining classifiers using dynamic weights to the protein secondary structure prediction - Comparative analysis of fusion methods
-
Biological and Medical Data Analysis - 7th International Symposium, ISBMDA 2006, Proceedings LNBI
-
T. Woloszynski, M. Kurzynski, Application of combining classifiers using dynamic weights to the protein secondary structure prediction - comparative analysis of fusion methods, in: Proceedings of the 7th International Symposium on Biological and Medical Data Analysis, 2006, pp. 83-91. (Pubitemid 47163844)
-
(2006)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4345
, pp. 83-91
-
-
Woloszynski, T.1
Kurzynski, M.2
-
4
-
-
33845506212
-
Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles
-
DOI 10.1016/j.patrec.2006.09.001, PII S0167865506002339
-
A.M.P. Canuto, M.C.C. Abreu, L.M. Oliveira, J.C. Xavier Jr., and A.M. Santos Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles Pattern Recognition Letters 28 4 2007 472 486 (Pubitemid 44918135)
-
(2007)
Pattern Recognition Letters
, vol.28
, Issue.4
, pp. 472-486
-
-
Canuto, A.M.P.1
Abreu, M.C.C.2
De Melo Oliveira, L.3
Xavier Jr., J.C.4
Santos, A.D.M.5
-
5
-
-
0030211964
-
Bagging predictors
-
L. Breiman Bagging predictors Machine Learning 24 2 1996 123 140 (Pubitemid 126724382)
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
6
-
-
0031211090
-
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
-
Y. Freund, and R.E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 55 1 1997 119 139 (Pubitemid 127433398)
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
7
-
-
0032139235
-
The random subspace method for constructing decision forests
-
T.K. Ho The random subspace method for constructing decision forests IEEE Transactions on Pattern Analysis and Machine Intelligence 20 8 1998 832 844 (Pubitemid 128741345)
-
(1998)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.8
, pp. 832-844
-
-
Ho, T.K.1
-
9
-
-
10444241978
-
Ensemble diversity measures and their application to thinning
-
R.E. Banfield, L.O. Hall, K.W. Bowyer, and W.P. Kegelmeyer Ensemble diversity measures and their application to thinning Information Fusion 6 1 2005 49 62
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 49-62
-
-
Banfield, R.E.1
Hall, L.O.2
Bowyer, K.W.3
Kegelmeyer, W.P.4
-
10
-
-
10444224737
-
Classifier selection for majority voting
-
D. Ruta, and B. Gabrys Classifier selection for majority voting Information Fusion 6 1 2005 63 81
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 63-81
-
-
Ruta, D.1
Gabrys, B.2
-
13
-
-
11144281845
-
Aggregation ordering in bagging
-
411-151, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (as part of the 22nd IASTED International Multi-Conference on Applied Informatics)
-
G. Martinez-Munoz, A. Suarez, Aggregation ordering in bagging, in: Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2004, pp. 258-263. (Pubitemid 40027393)
-
(2004)
Proceedings of the IASTED International Conference. Applied Informatics
, pp. 258-263
-
-
Martinez-Munoz, G.1
Suarez, A.2
-
15
-
-
61849098236
-
Pruning an ensemble of classifiers via reinforcement learning
-
I. Partalas, G. Tsoumakas, and I. Vlahavas Pruning an ensemble of classifiers via reinforcement learning Neurocomputing 72 7-9 2009 1900 1909
-
(2009)
Neurocomputing
, vol.72
, Issue.79
, pp. 1900-1909
-
-
Partalas, I.1
Tsoumakas, G.2
Vlahavas, I.3
-
16
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
DOI 10.1016/S0004-3702(02)00190-X, PII S000437020200190X
-
Z.-H. Zhou, J. Wu, and W. Tang Ensembling neural networks: many could be better than all Artificial Intelligence 137 1-2 2002 239 263 (Pubitemid 34405220)
-
(2002)
Artificial Intelligence
, vol.137
, Issue.1-2
, pp. 239-263
-
-
Zhou, Z.-H.1
Wu, J.2
Tang, W.3
-
17
-
-
33745794076
-
Ensemble pruning via semi-definite programming
-
DOI 10.1016/j.jasms.2006.06.007
-
Y. Zhang, S. Burer, and W.N. Street Ensemble pruning via semi-definite programming Journal of Machine Learning Research 7 2006 1315 1338 (Pubitemid 44024598)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1315-1338
-
-
Zhang, Y.1
Burer, S.2
Street, W.N.3
-
19
-
-
0035457787
-
Multiple classifiers combination by clustering and selection
-
DOI 10.1016/S1566-2535(01)00033-1, PII S1566253501000331
-
R. Liu, and B. Yuan Multiple classifiers combination by clustering and selection Information Fusion 2 3 2001 163 168 (Pubitemid 33396498)
-
(2001)
Information Fusion
, vol.2
, Issue.3
, pp. 163-168
-
-
Liu, R.1
Yuan, B.2
-
20
-
-
0018465664
-
A composite classifier system design: Concepts and methodology
-
B.V. Dasarathy, and B.V. Sheela A composite classifier system design: concepts and methodology Proceedings of the IEEE 67 5 1979 708 713
-
(1979)
Proceedings of the IEEE
, vol.67
, Issue.5
, pp. 708-713
-
-
Dasarathy, B.V.1
Sheela, B.V.2
-
22
-
-
84994037050
-
Dynamic classifier selection based on multiple classifier behaviour
-
G. Giacinto, and F. Roli Dynamic classifier selection based on multiple classifier behaviour Pattern Recognition 34 2001 1879 1881
-
(2001)
Pattern Recognition
, vol.34
, pp. 1879-1881
-
-
Giacinto, G.1
Roli, F.2
-
23
-
-
24044449939
-
A study on the performances of dynamic classifier selection based on local accuracy estimation
-
DOI 10.1016/j.patcog.2005.02.010, PII S0031320305000956
-
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 Recognition 38 2005 2188 2191 (Pubitemid 41214654)
-
(2005)
Pattern Recognition
, vol.38
, Issue.11
, pp. 2188-2191
-
-
Didaci, L.1
Giacinto, G.2
Roli, F.3
Marcialis, G.L.4
-
24
-
-
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 Recognition 41 5 2008 1718 1731
-
(2008)
Pattern Recognition
, vol.41
, Issue.5
, pp. 1718-1731
-
-
Ko, A.H.R.1
Sabourin, R.2
Britto, Jr.A.S.3
-
26
-
-
56349116856
-
Empirical comparison of dynamic classifier selection methods based on diversity and accuracy for building ensembles
-
M.C.P. de Souto, R.G.F. Soares, A. Santana, A.M.P. Canuto, Empirical comparison of dynamic classifier selection methods based on diversity and accuracy for building ensembles, in: Proceedings of the International Joint Conference on Neural Networks, 2008, pp. 1480-1487.
-
(2008)
Proceedings of the International Joint Conference on Neural Networks
, pp. 1480-1487
-
-
De Souto, M.C.P.1
Soares, R.G.F.2
Santana, A.3
Canuto, A.M.P.4
-
27
-
-
45549107002
-
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
-
E.M.D. Santos, R. Sabourin, and P. Maupin A dynamic overproduce-and- choose strategy for the selection of classifier ensembles Pattern Recognition 41 10 2008 2993 3009
-
(2008)
Pattern Recognition
, vol.41
, Issue.10
, pp. 2993-3009
-
-
Santos, E.M.D.1
Sabourin, R.2
Maupin, P.3
-
28
-
-
0035478854
-
Random forests
-
DOI 10.1023/A:1010933404324
-
L. Breiman Random forests Machine Learning 45 1 2001 5 32 (Pubitemid 32933532)
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
30
-
-
0036543957
-
Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection
-
DOI 10.1109/TGRS.2002.1006354, PII S0196289202046028
-
P.C. Smits Multiple classifier systems for supervised remote sensing image classification based on dynamics classifier selection IEEE Transactions on Geoscience and Remote Sensing 40 4 2002 801 813 (Pubitemid 34741654)
-
(2002)
IEEE Transactions on Geoscience and Remote Sensing
, vol.40
, Issue.4
, pp. 801-813
-
-
Smits, P.C.1
-
34
-
-
0035603046
-
Epistemic democracy: Generalizing the Condorcet Jury Theorem
-
C. List, and R.E. Goodin Epistemic democracy: generalizing the Condorcet Jury Theorem Journal of Political Philosophy 9 3 2001 277 306
-
(2001)
Journal of Political Philosophy
, vol.9
, Issue.3
, pp. 277-306
-
-
List, C.1
Goodin, R.E.2
-
36
-
-
0003663755
-
-
R.P. Duin, P. Juszczak, P. Paclik, E. Pekalska, D. de Ridder, D. Tax, S. Verzakov, PR-Tools4.1, A MATLAB Toolbox for Pattern Recognition, 2007. < http://prtools.org >.
-
(2007)
PR-Tools4.1, A MATLAB Toolbox for Pattern Recognition
-
-
Duin, R.P.1
Juszczak, P.2
Paclik, P.3
Pekalska, E.4
De Ridder, D.5
Tax, D.6
Verzakov, S.7
-
38
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demsar Statistical comparison of classifiers over multiple data sets Journal of Machine Learning Research 7 2006 1 30 (Pubitemid 43022939)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demsar, J.1
-
39
-
-
0033570831
-
Combined 5x2cv F test for comparing supervised classification learning algorithms
-
E. Alpaydin Combined 5x2cv F test for comparing supervised classification learning algorithms Neural Computation 11 8 1999 1885 1992
-
(1999)
Neural Computation
, vol.11
, Issue.8
, pp. 1885-1992
-
-
Alpaydin, E.1
-
40
-
-
67349239359
-
Human identification by quantifying similarity and dissimilarity in electrocardiogram phase space
-
S.-C. Fang, and H.-L. Chan Human identification by quantifying similarity and dissimilarity in electrocardiogram phase space Pattern Recognition 42 9 2009 1824 1831
-
(2009)
Pattern Recognition
, vol.42
, Issue.9
, pp. 1824-1831
-
-
Fang, S.-C.1
Chan, H.-L.2
-
41
-
-
0028928878
-
Measuring the dissimilarity between EEG recordings through a non-linear dynamical system approach
-
J.L. Hernandez, R. Biscay, J.C. Jimenez, P. Valdes, and R.G. de Peralta Measuring the dissimilarity between EEG recordings through a non-linear dynamical system approach International Journal of Bio-Medical Computing 38 2 1995 121 129
-
(1995)
International Journal of Bio-Medical Computing
, vol.38
, Issue.2
, pp. 121-129
-
-
Hernandez, J.L.1
Biscay, R.2
Jimenez, J.C.3
Valdes, P.4
De Peralta, R.G.5
-
42
-
-
0034307862
-
A novel quantitative EEG injury measure of global cerebral ischemia
-
R.G. Geocadin, R. Ghodadra, T. Kimura, H. Lei, D.L. Sherman, D.F. Hanley, and N.V. Thakor A novel quantitative EEG injury measure of global cerebral ischemia Clinical Neurophysiology 111 10 2000 1779 1787
-
(2000)
Clinical Neurophysiology
, vol.111
, Issue.10
, pp. 1779-1787
-
-
Geocadin, R.G.1
Ghodadra, R.2
Kimura, T.3
Lei, H.4
Sherman, D.L.5
Hanley, D.F.6
Thakor, N.V.7
-
43
-
-
77952410035
-
A signature dissimilarity measure for trabecular bone texture in knee radiographs
-
T. Woloszynski, P. Podsiadlo, G.W. Stachowiak, and M. Kurzynski A signature dissimilarity measure for trabecular bone texture in knee radiographs Medical Physics 37 5 2010 2030 2042
-
(2010)
Medical Physics
, vol.37
, Issue.5
, pp. 2030-2042
-
-
Woloszynski, T.1
Podsiadlo, P.2
Stachowiak, G.W.3
Kurzynski, M.4
|