-
1
-
-
84867580242
-
DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets
-
M. Alibeigi, S. Hashemi, and A. Hamzeh DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets Data Knowl. Eng. 2012 67 103
-
(2012)
Data Knowl. Eng.
, pp. 67-103
-
-
Alibeigi, M.1
Hashemi, S.2
Hamzeh, A.3
-
2
-
-
84874667219
-
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches
-
F. Alberto, L. Victoria, G. Mikel, and et al. Analysing the classification of imbalanced data-sets with multiple classes: binarization techniques and ad-hoc approaches Knowl.-Based Syst. 42 2013 97 110
-
(2013)
Knowl.-Based Syst.
, vol.42
, pp. 97-110
-
-
Alberto, F.1
Victoria, L.2
Mikel, G.3
-
3
-
-
0030211964
-
Bagging predictors
-
L. Breiman Bagging predictors Mach. Learn. 24 2 1996 123 140
-
(1996)
Mach. Learn.
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
4
-
-
84857049821
-
A binary particle swarm optimization algorithm inspired by multi-level organizational learning behavior
-
W. Bin, P. Qinke, Z. Jing, and et al. A binary particle swarm optimization algorithm inspired by multi-level organizational learning behavior Eur. J. Oper. Res. 219 2012 224 233
-
(2012)
Eur. J. Oper. Res.
, vol.219
, pp. 224-233
-
-
Bin, W.1
Qinke, P.2
Jing, Z.3
-
5
-
-
84886567160
-
-
University of California, School of Information and Computer Science Irvine, CA
-
K. Bache, and M. Lichman UCI Machine Learning Repository 2013 University of California, School of Information and Computer Science Irvine, CA
-
(2013)
UCI Machine Learning Repository
-
-
Bache, K.1
Lichman, M.2
-
6
-
-
84908219488
-
Statistical methods for assessing agreement between two methods of clinical measurement
-
J.M. Bland, and D.G. Altman Statistical methods for assessing agreement between two methods of clinical measurement Lancet 8476 1986 307 310
-
(1986)
Lancet
, vol.8476
, pp. 307-310
-
-
Bland, J.M.1
Altman, D.G.2
-
8
-
-
84879871165
-
Advance and prospects of AdaBoost algorithm
-
Cao, Miao, Liu, and et al. Advance and prospects of AdaBoost algorithm Acta Autom. Sin. 39 6 2013 745 758
-
(2013)
Acta Autom. Sin.
, vol.39
, Issue.6
, pp. 745-758
-
-
Cao1
Miao2
Liu3
-
9
-
-
27144549260
-
Editorial: Special Issue on Learning from Imbalanced Data Sets
-
N.V. Chawla, N. Japkowicz, and A. Kotcz Editorial: Special Issue on Learning from Imbalanced Data Sets ACM SIGKDD Explor. Newsl. 6 1 2004 1 6
-
(2004)
ACM SIGKDD Explor. Newsl.
, vol.6
, Issue.1
, pp. 1-6
-
-
Chawla, N.V.1
Japkowicz, N.2
Kotcz, A.3
-
10
-
-
0003562954
-
A Simple generalization of the area under the ROC curve for multiple class classification problems
-
J.H. David, and J.T. Robert A Simple generalization of the area under the ROC curve for multiple class classification problems Mach. Learn. 45 2001 171 186
-
(2001)
Mach. Learn.
, vol.45
, pp. 171-186
-
-
David, J.H.1
Robert, J.T.2
-
13
-
-
52149095977
-
Application of fuzzy closeness degree in reservoir recognition
-
G.Q. Feng, Y. Li, and D.H. Tan Application of fuzzy closeness degree in reservoir recognition J. Southwest Petrol. Ins. 21 4 1999 46 49
-
(1999)
J. Southwest Petrol. Ins.
, vol.21
, Issue.4
, pp. 46-49
-
-
Feng, G.Q.1
Li, Y.2
Tan, D.H.3
-
14
-
-
58149321460
-
Boosting a weak learning algorithm by majority
-
Yoav Freund Boosting a weak learning algorithm by majority Inf. Comput. 121 2 1995 256 285
-
(1995)
Inf. Comput.
, vol.121
, Issue.2
, pp. 256-285
-
-
Freund, Y.1
-
16
-
-
33646023117
-
An introduction to ROC analysis
-
Tom Fawcett An introduction to ROC analysis Pattern Recognit. Lett. 27 2006 861 874
-
(2006)
Pattern Recognit. Lett.
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
17
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Yoav Freund, and Robert E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting J. Comput. Syst. Sci. 55 1 1997 119 139
-
(1997)
J. Comput. Syst. Sci.
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
18
-
-
9444288762
-
Volume under the ROC Surface for Multi-class Problems. Exact computation and evaluation of approximations
-
Ferri, C., Hernández-orallo, J., Salido, M.A., 2003. Volume under the ROC Surface for Multi-class Problems. Exact computation and evaluation of approximations. In: Proceedings of 14th European Conference on Machine Learning, pp. 108-120.
-
(2003)
Proceedings of 14th European Conference on Machine Learning
, pp. 108-120
-
-
Ferri, C.1
Hernández-Orallo, J.2
Salido, M.A.3
-
19
-
-
84881072864
-
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling
-
M. Galar, A. Fernández, E. Barrenechea, and et al. EUSBoost: enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling Pattern Recognit. 46 2013 3460 3471
-
(2013)
Pattern Recognit.
, vol.46
, pp. 3460-3471
-
-
Galar, M.1
Fernández, A.2
Barrenechea, E.3
-
20
-
-
77957900643
-
Optimizing reservoir features in oil exploration management based on fusion of soft computing
-
H.X. Guo, X.W. Liao, K.J. Zhu, and et al. Optimizing reservoir features in oil exploration management based on fusion of soft computing Appl. Soft Comput. 11 2011 1144 1155
-
(2011)
Appl. Soft Comput.
, vol.11
, pp. 1144-1155
-
-
Guo, H.X.1
Liao, X.W.2
Zhu, K.J.3
-
21
-
-
84862515469
-
A review on ensembles for the class imbalance problem: Bagging-, boosting-, and hybrid-based approaches
-
M. Galar, A. Fernández, and E. Barrenechea A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches IEEE Trans. Syst. Man Cybern C: Appl. Rev. 42 4 2012 463 484
-
(2012)
IEEE Trans. Syst. Man Cybern C: Appl. Rev.
, vol.42
, Issue.4
, pp. 463-484
-
-
Galar, M.1
Fernández, A.2
Barrenechea, E.3
-
22
-
-
84914167532
-
Construcion of neurofuzzy models for imbalanced data classification
-
Ming Gao, Xia Hong, and J. Chris Construcion of neurofuzzy models for imbalanced data classification IEEE Trans. Fuzzy Syst. 22 6 2014 1473 1488
-
(2014)
IEEE Trans. Fuzzy Syst.
, vol.22
, Issue.6
, pp. 1473-1488
-
-
Gao, M.1
Hong, X.2
Chris, J.3
-
23
-
-
84953640238
-
A novel scalable multi-class ROC for effective visualization and computation
-
June, 21-24
-
Md Hassan, Kotagiri, R., Chandan, K. et.al., June, 21-24, 2010. A novel scalable multi-class ROC for effective visualization and computation. Advances in Knowledge Discovery and Data Mining. 14th Pacific-Asia Conference,.
-
(2010)
Advances in Knowledge Discovery and Data Mining. 14th Pacific-Asia Conference
-
-
Hassan, Md.1
Kotagiri, R.2
Chandan, K.3
-
25
-
-
0002294347
-
A simple sequentially rejective multiple test procedure, Scand
-
S. Holm A simple sequentially rejective multiple test procedure, Scand J. Stat 6 1979 65 70
-
(1979)
J. Stat
, vol.6
, pp. 65-70
-
-
Holm, S.1
-
26
-
-
84887826239
-
Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis
-
H. Inbarani, A. Azar, and G. Jothi Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis Comput. Methods Progr. Biomed. 113 2014 175 185
-
(2014)
Comput. Methods Progr. Biomed.
, vol.113
, pp. 175-185
-
-
Inbarani, H.1
Azar, A.2
Jothi, G.3
-
27
-
-
84889092504
-
Cost-sensitive decision tree ensembles for effective imbalanced classification
-
B. Krawczyk, M. Wozniak, and G. Schaefer Cost-sensitive decision tree ensembles for effective imbalanced classification Appl. Soft Comput. 14 2014 554 562
-
(2014)
Appl. Soft Comput.
, vol.14
, pp. 554-562
-
-
Krawczyk, B.1
Wozniak, M.2
Schaefer, G.3
-
31
-
-
84925071406
-
Weighted one-class classification for different types of minority class examples in imbalanced data, Computational Intelligence and Data Mining (CIDM)
-
B. Krawczyk, M. Wozniak, and F. Herrera Weighted one-class classification for different types of minority class examples in imbalanced data, Computational Intelligence and Data Mining (CIDM) IEEE Symposium on 2014 337 344
-
(2014)
IEEE Symposium on
, pp. 337-344
-
-
Krawczyk, B.1
Wozniak, M.2
Herrera, F.3
-
32
-
-
84906309048
-
Hypertension type classification using hierarchical ensemble of one-class classifiers for imbalanced data
-
Krawczyk, B., Woźniak, M., 2015. Hypertension type classification using hierarchical ensemble of one-class classifiers for imbalanced data. Advances in Intelligent Systems Computing.
-
(2015)
Advances in Intelligent Systems Computing
-
-
Krawczyk, B.1
Woźniak, M.2
-
33
-
-
84871621085
-
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets
-
V. López, A. Fernández, M.J. del Jesuse, and et al. A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets Knowl.-Based Syst. 38 2013 85 104
-
(2013)
Knowl.-Based Syst.
, vol.38
, pp. 85-104
-
-
López, V.1
Fernández, A.2
Del Jesuse, M.J.3
-
34
-
-
84883447718
-
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
-
V. López, A. Fernández, S. García, and et al. An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics Inf. Sci. 250 2013 113 141
-
(2013)
Inf. Sci.
, vol.250
, pp. 113-141
-
-
López, V.1
Fernández, A.2
García, S.3
-
35
-
-
84911445875
-
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data
-
V. López, S. Río, J.M. Benítez, and et al. Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data Fuzzy Sets and Syst 258 2015 5 38
-
(2015)
Fuzzy Sets and Syst
, vol.258
, pp. 5-38
-
-
López, V.1
Río, S.2
Benítez, J.M.3
-
37
-
-
84883447718
-
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
-
V. López, A. Fernández, S. García, and et al. An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics Inf. Sci. 250 2013 2006 113 141
-
(2006)
Inf. Sci.
, vol.250
, Issue.2013
, pp. 113-141
-
-
López, V.1
Fernández, A.2
García, S.3
-
39
-
-
84891860723
-
Training and assessing classification rules with imbalanced data
-
G. Menardi, and N. Torelli Training and assessing classification rules with imbalanced data Data Min. Knowl. Discov. 2014 92 122
-
(2014)
Data Min. Knowl. Discov.
, pp. 92-122
-
-
Menardi, G.1
Torelli, N.2
-
40
-
-
84906691312
-
Feature selection for high-dimensional class-imbalanced data sets using support vector machines
-
S. Maldonado, R. Weber, and F. Famili Feature selection for high-dimensional class-imbalanced data sets using support vector machines Inf. Sci. 286 2014 228 246
-
(2014)
Inf. Sci.
, vol.286
, pp. 228-246
-
-
Maldonado, S.1
Weber, R.2
Famili, F.3
-
42
-
-
9444297357
-
SMOTEBoost: Improving prediction of the minority class in boosting
-
Nitesh, V.C., Aleksandar, L., Lawrence, O.H., et.al., 2003. SMOTEBoost: improving prediction of the minority class in boosting. In: Proceedings of 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, pp. 107-119.
-
(2003)
Proceedings of 7th European Conference on Principles and Practice of Knowledge Discovery in Databases
, pp. 107-119
-
-
Nitesh, V.C.1
Aleksandar, L.2
Lawrence, O.H.3
-
43
-
-
84894304676
-
Covariance-guided One-Class Support Vector Machine
-
M.K. Naimul, K. Riadh, and S.A. Imran Covariance-guided One-Class Support Vector Machine Pattern Recognit. 47 6 2014 2165 2177
-
(2014)
Pattern Recognit.
, vol.47
, Issue.6
, pp. 2165-2177
-
-
Naimul, M.K.1
Riadh, K.2
Imran, S.A.3
-
44
-
-
7944220109
-
Ordered multiple-class ROC analysis with continuous measurements
-
C.T. Nakas, and C.T. Yiannoutsos Ordered multiple-class ROC analysis with continuous measurements Stat. Med. 23 22 2004 3437 3449
-
(2004)
Stat. Med.
, vol.23
, Issue.22
, pp. 3437-3449
-
-
Nakas, C.T.1
Yiannoutsos, C.T.2
-
45
-
-
84926525100
-
Coupling different methods for overcoming the class imbalance problem
-
L. Nanni, C. Fantozzi, and N. Lazzarini Coupling different methods for overcoming the class imbalance problem Neurocomputing 158 2015 48 61
-
(2015)
Neurocomputing
, vol.158
, pp. 48-61
-
-
Nanni, L.1
Fantozzi, C.2
Lazzarini, N.3
-
46
-
-
84942249246
-
Class imbalance revisited: A new experimental setup to assess the performance of treatment methods
-
R.C. Prati, E. Gustavo, and Diego F. Silva Class imbalance revisited: a new experimental setup to assess the performance of treatment methods Knowl. Inf. Syst. 2015 10.1007/s10115-014-0794-3
-
(2015)
Knowl. Inf. Syst.
-
-
Prati, R.C.1
Gustavo, E.2
Silva, D.F.3
-
47
-
-
33646054819
-
Multi-class ROC analysis from a multi-objective optimization perspective
-
M. Richard, and E. Jonathan Multi-class ROC analysis from a multi-objective optimization perspective Pattern Recognit. Lett. 27 2006 916 927
-
(2006)
Pattern Recognit. Lett.
, vol.27
, pp. 916-927
-
-
Richard, M.1
Jonathan, E.2
-
48
-
-
84921817000
-
A novel ensemble method for classifying imbalanced data
-
Z. Sun, Q. Song, X. Zhu, and et al. A novel ensemble method for classifying imbalanced data Pattern Recognit. 48 2015 1623 1637
-
(2015)
Pattern Recognit.
, vol.48
, pp. 1623-1637
-
-
Sun, Z.1
Song, Q.2
Zhu, X.3
-
50
-
-
0033281701
-
Improved boosting algorithms using confidence-rated pre-dictions
-
Robert E. Schapire, and Yoram Singer Improved boosting algorithms using confidence-rated pre-dictions Mach. Learn. 37 3 1999 297 336
-
(1999)
Mach. Learn.
, vol.37
, Issue.3
, pp. 297-336
-
-
Schapire, R.E.1
Singer, Y.2
-
51
-
-
80053143065
-
Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data
-
Shanab, A., Khoshgoftaar, T., Wald, R. et al., 2011. Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data. In: Proceedings of IEEE International Conference on Information Reuse and Integration, pp. 234-239.
-
(2011)
Proceedings of IEEE International Conference on Information Reuse and Integration
, pp. 234-239
-
-
Shanab, A.1
Khoshgoftaar, T.2
Wald, R.3
-
52
-
-
33745789043
-
Building support vector machines with reduced classifier complexity
-
K. Sathiya, C. Olivier, and D. Dennis Building support vector machines with reduced classifier complexity J. Mach. Learn. Res. 7 2006 1493 1515
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 1493-1515
-
-
Sathiya, K.1
Olivier, C.2
Dennis, D.3
-
53
-
-
79951771270
-
Imbalanced classification using support vector machine ensemble
-
J. Tian, H. Gu, and W. Liu Imbalanced classification using support vector machine ensemble Neural Comput. Appl. 20 2 2011 203 209
-
(2011)
Neural Comput. Appl.
, vol.20
, Issue.2
, pp. 203-209
-
-
Tian, J.1
Gu, H.2
Liu, W.3
-
54
-
-
79959486532
-
Cost-sensitive learning methods for imbalanced data
-
Thai-Nghe, N., Gantner, Z. Schmidt-Thieme, L., 2010. Cost-sensitive learning methods for imbalanced data. In: Proceedings of IEEE International Joint Conference Neural Networks (IJCNN), pp. 1-8.
-
(2010)
Proceedings of IEEE International Joint Conference Neural Networks (IJCNN)
, pp. 1-8
-
-
Thai-Nghe, N.1
Gantner, Z.2
Schmidt-Thieme, L.3
-
56
-
-
84921279740
-
Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms
-
P. Vorraboot, S. Rasmequan, K. Chinnasarn, and et al. Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms Neurocomputing 152 2015 429 443
-
(2015)
Neurocomputing
, vol.152
, pp. 429-443
-
-
Vorraboot, P.1
Rasmequan, S.2
Chinnasarn, K.3
-
57
-
-
84884493455
-
Cost-sensitive boosting algorithms for imbalanced multi-instance datasets
-
Wang, X., Matwin, S., Japkowicz, N., Liu, X., 2013. Cost-sensitive boosting algorithms for imbalanced multi-instance datasets. In: Proceedings of the Canadian Conference on Artificial Intelligence, pp. 174-186.
-
(2013)
Proceedings of the Canadian Conference on Artificial Intelligence
, pp. 174-186
-
-
Wang, X.1
Matwin, S.2
Japkowicz, N.3
Liu, X.4
-
58
-
-
0001884644
-
Individual comparisons by ranking methods
-
F. Wilcoxon Individual comparisons by ranking methods Biom. Bull. 6 1945 80 83
-
(1945)
Biom. Bull.
, vol.6
, pp. 80-83
-
-
Wilcoxon, F.1
-
59
-
-
84875404700
-
Feature selection for high-dimensional imbalanced data
-
L. Yin, Y. Ge, K. Xiao, and et al. Feature selection for high-dimensional imbalanced data Neurocomputing 105 2013 3 11
-
(2013)
Neurocomputing
, vol.105
, pp. 3-11
-
-
Yin, L.1
Ge, Y.2
Xiao, K.3
-
60
-
-
84875404700
-
Feature selection for high-dimensional imbalanced data
-
L. Yin, Y. Ge, and K. Xiao Feature selection for high-dimensional imbalanced data Neurocomputing 105 3 2013 3 11
-
(2013)
Neurocomputing
, vol.105
, Issue.3
, pp. 3-11
-
-
Yin, L.1
Ge, Y.2
Xiao, K.3
|