-
1
-
-
67650706774
-
Classification of imbalanced data: A review
-
Y. Sun, A. K. C. Wong, and M. S. Kamel, "Classification of imbalanced data: A review," International Journal of Pattern Recognition and Artificial Intelligence, vol. 23, no. 4, pp. 687-719, 2009.
-
(2009)
International Journal of Pattern Recognition and Artificial Intelligence
, vol.23
, Issue.4
, pp. 687-719
-
-
Sun, Y.1
Wong, A.K.C.2
Kamel, M.S.3
-
2
-
-
68549133155
-
Learning from imbalanced data
-
H. He and E. A. Garcia, "Learning from imbalanced data," IEEE Transactions on Knowledge and Data Engineering, vol. 21, no. 9, pp. 1263-1284, 2009.
-
(2009)
IEEE Transactions on Knowledge and Data Engineering
, vol.21
, Issue.9
, pp. 1263-1284
-
-
He, H.1
Garcia, E.A.2
-
3
-
-
84883447718
-
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
-
V. López, A. Fernández, S. García, V. Palade, and F. Herrera, "An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics," Inf. Sci., vol. 250, pp. 113-141, 2013.
-
(2013)
Inf. Sci.
, vol.250
, pp. 113-141
-
-
López, V.1
Fernández, A.2
García, S.3
Palade, V.4
Herrera, F.5
-
4
-
-
77951257705
-
Iterative boolean combination of classifiers in the roc space: An application to anomaly detection with hmms
-
W. Khreich, E. Granger, A. Miri, and R. Sabourin, "Iterative boolean combination of classifiers in the roc space: An application to anomaly detection with hmms," Pattern Recognition, vol. 43, no. 8, pp. 2732-2752, 2010.
-
(2010)
Pattern Recognition
, vol.43
, Issue.8
, pp. 2732-2752
-
-
Khreich, W.1
Granger, E.2
Miri, A.3
Sabourin, R.4
-
5
-
-
77955092273
-
Association rule mining-based dissolved gas analysis for fault diagnosis of power transformers
-
Z. Yang, W. H. Tang, A. Shintemirov, and Q. H. Wu, "Association rule mining-based dissolved gas analysis for fault diagnosis of power transformers," IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, vol. 39, no. 6, pp. 597-610, 2009.
-
(2009)
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
, vol.39
, Issue.6
, pp. 597-610
-
-
Yang, Z.1
Tang, W.H.2
Shintemirov, A.3
Wu, Q.H.4
-
6
-
-
33846063260
-
Face recognition using total margin-based adaptive fuzzy support vector machines
-
Y. Liu and Y. Chen, "Face recognition using total margin-based adaptive fuzzy support vector machines," IEEE Transactions on Neural Networks, vol. 18, no. 1, pp. 178-192, 2007.
-
(2007)
IEEE Transactions on Neural Networks
, vol.18
, Issue.1
, pp. 178-192
-
-
Liu, Y.1
Chen, Y.2
-
7
-
-
84887613816
-
Diversity measures for one-class classifier ensembles
-
B. Krawczyk and M. Woźniak, "Diversity measures for one-class classifier ensembles," Neurocomputing, vol. 126, pp. 36-44, 2014.
-
(2014)
Neurocomputing
, vol.126
, pp. 36-44
-
-
Krawczyk, B.1
Woźniak, M.2
-
8
-
-
84880808111
-
Diversity in ensembles for one-class classification
-
M. Pechenizkiy and M. Wojciechowski, Eds. Springer Berlin Heidelberg
-
B. Krawczyk, "Diversity in ensembles for one-class classification," in New Trends in Databases and Information Systems, ser. Advances in Intelligent Systems and Computing, M. Pechenizkiy and M. Wojciechowski, Eds. Springer Berlin Heidelberg, 2012, vol. 185, pp. 119-129.
-
(2012)
New Trends in Databases and Information Systems, Ser. Advances in Intelligent Systems and Computing
, vol.185
, pp. 119-129
-
-
Krawczyk, B.1
-
9
-
-
84859537598
-
Frac: A feature-modeling approach for semi-supervised and unsupervised anomaly detection
-
K. Noto, C. Brodley, and D. Slonim, "Frac: A feature-modeling approach for semi-supervised and unsupervised anomaly detection," Data Mining and Knowledge Discovery, vol. 25, no. 1, pp. 109-133, 2012.
-
(2012)
Data Mining and Knowledge Discovery
, vol.25
, Issue.1
, pp. 109-133
-
-
Noto, K.1
Brodley, C.2
Slonim, D.3
-
11
-
-
84858834586
-
Identification of different types of minority class examples in imbalanced data
-
K. Napierala and J. Stefanowski, "Identification of different types of minority class examples in imbalanced data," ser. Lecture Notes in Computer Science, vol. 7209 LNAI, no. PART 2, 2012, pp. 139-150.
-
(2012)
Ser. Lecture Notes in Computer Science LNAI
, vol.7209
, pp. 139-150
-
-
Napierala, K.1
Stefanowski, J.2
-
12
-
-
50549093573
-
On the k-nn performance in a challenging scenario of imbalance and overlapping
-
V. Garcia, R. A. Mollineda, and J. S. Sanchez, "On the k-nn performance in a challenging scenario of imbalance and overlapping," Pattern Analysis and Applications, vol. 11, no. 3-4, pp. 269-280, 2008.
-
(2008)
Pattern Analysis and Applications
, vol.11
, Issue.3-4
, pp. 269-280
-
-
Garcia, V.1
Mollineda, R.A.2
Sanchez, J.S.3
-
13
-
-
0004094721
-
Learning with kernels: Support vector machines, regularization, optimization, and beyond
-
MIT Press
-
B. Schölkopf and A. Smola, Learning with kernels: support vector machines, regularization, optimization, and beyond, ser. Adaptive computation and machine learning. MIT Press, 2002.
-
(2002)
Ser. Adaptive Computation and Machine Learning
-
-
Schölkopf, B.1
Smola, A.2
-
14
-
-
51649108757
-
Soft clustering using weighted one-class support vector machines
-
M. Bicego and M. A. T. Figueiredo, "Soft clustering using weighted one-class support vector machines," Pattern Recognition, vol. 42, no. 1, pp. 27-32, 2009.
-
(2009)
Pattern Recognition
, vol.42
, Issue.1
, pp. 27-32
-
-
Bicego, M.1
Figueiredo, M.A.T.2
-
15
-
-
84863457581
-
One-class support vector ensembles for image segmentation and classification
-
B. Cyganek, "One-class support vector ensembles for image segmentation and classification," Journal of Mathematical Imaging and Vision, vol. 42, no. 2-3, pp. 103-117, 2012.
-
(2012)
Journal of Mathematical Imaging and Vision
, vol.42
, Issue.2-3
, pp. 103-117
-
-
Cyganek, B.1
-
16
-
-
0942266514
-
Support vector data description
-
D. M. J. Tax and R. P. W. Duin, "Support vector data description," Machine Learning, vol. 54, no. 1, pp. 45-66, 2004.
-
(2004)
Machine Learning
, vol.54
, Issue.1
, pp. 45-66
-
-
Tax, D.M.J.1
Duin, R.P.W.2
-
18
-
-
84856964446
-
Analysis of preprocessing vs. Cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
-
V. Lopez, A. Fernandez, J. G. Moreno-Torres, and F. Herrera, "Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. open problems on intrinsic data characteristics," Expert Systems with Applications, vol. 39, no. 7, pp. 6585-6608, 2012.
-
(2012)
Expert Systems with Applications
, vol.39
, Issue.7
, pp. 6585-6608
-
-
Lopez, V.1
Fernandez, A.2
Moreno-Torres, J.G.3
Herrera, F.4
-
19
-
-
79956285606
-
Integrating selective pre-processing of imbalanced data with ivotes ensemble
-
LNAI
-
J. Blaszczynski, M. Deckert, J. Stefanowski, and S. Wilk, "Integrating selective pre-processing of imbalanced data with ivotes ensemble," ser. Lecture Notes in Computer Science, 2010, vol. 6086 LNAI, pp. 148-157.
-
(2010)
Ser. Lecture Notes in Computer Science
, vol.6086
, pp. 148-157
-
-
Blaszczynski, J.1
Deckert, M.2
Stefanowski, J.3
Wilk, S.4
-
20
-
-
64049108468
-
Exploratory undersampling for class-imbalance learning
-
X. Liu, J. Wu, and Z. Zhou, "Exploratory undersampling for class-imbalance learning," IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol. 39, no. 2, pp. 539-550, 2009.
-
(2009)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
, vol.39
, Issue.2
, pp. 539-550
-
-
Liu, X.1
Wu, J.2
Zhou, Z.3
-
22
-
-
0033570831
-
Combined 5 x 2 cv f test for comparing supervised classification learning algorithms
-
E. Alpaydin, "Combined 5 x 2 cv f test for comparing supervised classification learning algorithms," Neural Computation, vol. 11, no. 8, pp. 1885-1892, 1999.
-
(1999)
Neural Computation
, vol.11
, Issue.8
, pp. 1885-1892
-
-
Alpaydin, E.1
-
23
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
J. Demšar, "Statistical comparisons of classifiers over multiple data sets," J. Mach. Learn. Res., vol. 7, pp. 1-30, 2006.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
24
-
-
77549084648
-
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
-
S. García, A. Fernández, J. Luengo, and F. Herrera, "Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power," Inf. Sci., vol. 180, no. 10, pp. 2044-2064, 2010.
-
(2010)
Inf. Sci.
, vol.180
, Issue.10
, pp. 2044-2064
-
-
García, S.1
Fernández, A.2
Luengo, J.3
Herrera, F.4
|