-
1
-
-
84897548936
-
Surrogate regret bounds for the area under the ROC curve via strongly proper losses
-
Agarwal, S. Surrogate regret bounds for the area under the ROC curve via strongly proper losses. In COLT, 2013.
-
(2013)
COLT
-
-
Agarwal, S.1
-
2
-
-
33645505792
-
Convexity, classification, and risk bounds
-
DOI 10.1198/016214505000000907
-
Bartlett, P.L., Jordan, M.I., and McAuliffe, J.D. Convexity, classification, and risk bounds. Journal of the American Statistical Association, 101(473):138-56, 2006. (Pubitemid 43500031)
-
(2006)
Journal of the American Statistical Association
, vol.101
, Issue.473
, pp. 138-156
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
4
-
-
0002500236
-
Improving minority class prediction using case-specific feature weights
-
Cardie, C. and Howe, N. Improving minority class prediction using case-specific feature weights. In ICML, 1997.
-
(1997)
ICML
-
-
Cardie, C.1
Howe, N.2
-
5
-
-
1942482069
-
Learning with non-uniform class and cost distributions: Effects and a distributed multi-classifier approach
-
Chan, P.K. and Stolfo, S.J. Learning with non-uniform class and cost distributions: Effects and a distributed multi-classifier approach. In KDD-98 Workshop on Distributed Data Mining, 1998.
-
KDD-98 Workshop on Distributed Data Mining, 1998
-
-
Chan, P.K.1
Stolfo, S.J.2
-
6
-
-
0346586663
-
SMOTE: Synthetic minority over-sampling technique
-
Chawla, N.V., Bowyer, K.W., Hall, L.O., and Kegelmeyer, W.P. SMOTE: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16:321-357, 2002.
-
(2002)
Journal of Artificial Intelligence Research
, vol.16
, pp. 321-357
-
-
Chawla, N.V.1
Bowyer, K.W.2
Hall, L.O.3
Kegelmeyer, W.P.4
-
8
-
-
27144549260
-
Editorial: Special issue on learning from imbalanced data sets
-
Chawla, N.V., Japkowicz, N., and Kotcz, A. Editorial: Special issue on learning from imbalanced data sets. SIGKDD Explorations Newsletter, 6(1):1-6, 2004.
-
(2004)
SIGKDD Explorations Newsletter
, vol.6
, Issue.1
, pp. 1-6
-
-
Chawla, N.V.1
Japkowicz, N.2
Kotcz, A.3
-
9
-
-
50549101751
-
Automatically countering imbalance and its empirical relationship to cost
-
Chawla, N.V., Cieslak, D.A., Hall, L.O., and Joshi, A. Automatically countering imbalance and its empirical relationship to cost. Data Mining & Knowledge Discovery, 17(2):225-252, 2008.
-
(2008)
Data Mining & Knowledge Discovery
, vol.17
, Issue.2
, pp. 225-252
-
-
Chawla, N.V.1
Cieslak, D.A.2
Hall, L.O.3
Joshi, A.4
-
10
-
-
1442305691
-
KDD Cup 2001 report
-
Cheng, J., Hatzis, C., Hayashi, H., Krogel, M-A., Morishita, S., Page, D., and Sese, J. KDD Cup 2001 report. ACM SIGKDD Explorations Newsletter, 3(2):47-64, 2002.
-
(2002)
ACM SIGKDD Explorations Newsletter
, vol.3
, Issue.2
, pp. 47-64
-
-
Cheng, J.1
Hatzis, C.2
Hayashi, H.3
Krogel, M.-A.4
Morishita, S.5
Page, D.6
Sese, J.7
-
11
-
-
33646421421
-
Evaluation of classifiers for an uneven class distribution problem
-
Daskalaki, S., Kopanas, I., and Avouris, N. Evaluation of classifiers for an uneven class distribution problem. Applied Artificial Intelligence, 20:381-417, 2006.
-
(2006)
Applied Artificial Intelligence
, vol.20
, pp. 381-417
-
-
Daskalaki, S.1
Kopanas, I.2
Avouris, N.3
-
12
-
-
33749249600
-
The relationship between precision-recall and ROC curves
-
Davis, J. and Goadrich, M. The relationship between precision-recall and ROC curves. In Proc. ICML, 2006.
-
Proc. ICML, 2006
-
-
Davis, J.1
Goadrich, M.2
-
13
-
-
33750343060
-
Severe class imbalance: Why better algorithms aren't the answer
-
Drummond, C. and Holte, R.C. Severe class imbalance: Why better algorithms aren't the answer. In Proc. ECML, 2005.
-
Proc. ECML, 2005
-
-
Drummond, C.1
Holte, R.C.2
-
14
-
-
33748991193
-
Cost curves: An improved method for visualizing classifier performance
-
DOI 10.1007/s10994-006-8199-5
-
Drummond, C. and Holte, R.C. Cost curves: An improved method for visualizing classifier performance. Machine Learning, 65(1):95-130, 2006. (Pubitemid 44451195)
-
(2006)
Machine Learning
, vol.65
, Issue.1
, pp. 95-130
-
-
Drummond, C.1
Holte, R.C.2
-
15
-
-
84867577175
-
The foundations of cost-sensitive learning
-
Elkan, C. The foundations of cost-sensitive learning. In Proc. IJCAI, 2001.
-
Proc. IJCAI, 2001
-
-
Elkan, C.1
-
17
-
-
73349136777
-
Evaluation measures of the classification performance of imbalanced data sets
-
Gu, Q., Zhu, L., and Cai, Z. Evaluation measures of the classification performance of imbalanced data sets. In Computational Intelligence and Intelligent Systems, volume 51, pp. 461-471. 2009.
-
(2009)
Computational Intelligence and Intelligent Systems
, vol.51
, pp. 461-471
-
-
Gu, Q.1
Zhu, L.2
Cai, Z.3
-
19
-
-
0005255842
-
The class imbalance problem: Significance and strategies
-
Japkowicz, N. The class imbalance problem: Significance and strategies. In In Proc. ICAI, 2000.
-
Proc. ICAI, 2000
-
-
Japkowicz, N.1
-
20
-
-
33845536164
-
The class imbalance problem: A systematic study
-
Japkowicz, N. and Stephen, S. The class imbalance problem: A systematic study. Intelligent Data Analysis, 6(5):429-449, 2002.
-
(2002)
Intelligent Data Analysis
, vol.6
, Issue.5
, pp. 429-449
-
-
Japkowicz, N.1
Stephen, S.2
-
21
-
-
84897563084
-
Learning without default: A study of one-class classification and the low-default portfolio problem
-
Kennedy, K., Namee, B.M., and Delany, S.J. Learning without default: a study of one-class classification and the low-default portfolio problem. In ICAICS, 2009.
-
(2009)
ICAICS
-
-
Kennedy, K.1
Namee, B.M.2
Delany, S.J.3
-
22
-
-
80053441004
-
Bipartite ranking through minimization of univariate loss
-
Kotlowski, W., Dembczynski, K., and Hüllermeier, E. Bipartite ranking through minimization of univariate loss. In Proc. ICML, 2011.
-
Proc. ICML, 2011
-
-
Kotlowski, W.1
Dembczynski, K.2
Hüllermeier, E.3
-
23
-
-
0001972236
-
Addressing the curse of imbalanced training sets: One-sided selection
-
Kubat, M. and Matwin, S. Addressing the curse of imbalanced training sets: One-sided selection. In ICML, 1997.
-
(1997)
ICML
-
-
Kubat, M.1
Matwin, S.2
-
24
-
-
0001924639
-
Neural network classification and prior class probabilities
-
Neural Networks: Tricks of the Trade
-
Lawrence, S., Burns, I., Back, A., Tsoi, A-C., and Giles, C.L. Neural network classification and prior class probabilities. In Neural Networks: Tricks of the Trade, Lecture Notes in Computer Science, pp. 1524:299-313. 1998.
-
(1998)
Lecture Notes in Computer Science
-
-
Lawrence, S.1
Burns, I.2
Back, A.3
Tsoi, A.-C.4
Giles, C.L.5
-
25
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
Lewis, D.D. and Gale, W.A. A sequential algorithm for training text classifiers. In Proc. SIGIR, 1994.
-
Proc. SIGIR, 1994
-
-
Lewis, D.D.1
Gale, W.A.2
-
26
-
-
85161651554
-
Data mining for direct marketing: Problems and solutions
-
Ling, C., Ling, C.X., and Li, C. Data mining for direct marketing: Problems and solutions. In Proc. KDD, 1998.
-
Proc. KDD, 1998
-
-
Ling, C.1
Ling, C.X.2
Li, C.3
-
27
-
-
84857182086
-
A quadratic mean based supervised learning model for managing data skewness
-
Liu, W. and Chawla, S. A quadratic mean based supervised learning model for managing data skewness. In Proc. SDM, 2011.
-
Proc. SDM, 2011
-
-
Liu, W.1
Chawla, S.2
-
28
-
-
0003243224
-
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
-
Platt, J.C. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Adv. Large Margin Classifiers, pp. 61-74, 1999.
-
(1999)
Adv. Large Margin Classifiers
, pp. 61-74
-
-
Platt, J.C.1
-
29
-
-
32344434489
-
Short term performance forecasting in enterprise systems
-
Powers, R., Goldszmidt, M., and Cohen, I. Short term performance forecasting in enterprise systems. In Proc. KDD, 2005.
-
Proc. KDD, 2005
-
-
Powers, R.1
Goldszmidt, M.2
Cohen, I.3
-
30
-
-
62749137418
-
Adaptive weighted learning for unbalanced multicategory classification
-
Qiao, X. and Liu, Y. Adaptive weighted learning for unbalanced multicategory classification. Biometrics, 65(1):159-168, 2009.
-
(2009)
Biometrics
, vol.65
, Issue.1
, pp. 159-168
-
-
Qiao, X.1
Liu, Y.2
-
33
-
-
84875390122
-
Calibrated asymmetric surrogate losses
-
Scott, C. Calibrated asymmetric surrogate losses. Electronic Journal of Statistics, 6:958-992, 2012.
-
(2012)
Electronic Journal of Statistics
, vol.6
, pp. 958-992
-
-
Scott, C.1
-
34
-
-
57649202036
-
Experimental perspectives on learning from imbalanced data
-
Van Hulse, J., Khoshgoftaar, T.M., and Napolitano, A. Experimental perspectives on learning from imbalanced data. In Proc. ICML, 2007.
-
Proc. ICML, 2007
-
-
Van Hulse, J.1
Khoshgoftaar, T.M.2
Napolitano, A.3
-
35
-
-
84857180411
-
Class imbalance, redux
-
Wallace, B.C., K.Small, Brodley, C.E., and Trikalinos, T.A. Class imbalance, redux. In Proc. ICDM, 2011.
-
Proc. ICDM, 2011
-
-
Wallace, B.C.1
Small, K.2
Brodley, C.E.3
Trikalinos, T.A.4
-
36
-
-
33749245586
-
Cost-sensitive learning by cost-proportionate example weighting
-
Zadrozny, Bianca, Langford, John, and Abe, Naoki. Cost-sensitive learning by cost-proportionate example weighting. In ICDM, 2003.
-
(2003)
ICDM
-
-
Zadrozny, B.1
Langford, J.2
Abe, N.3
-
37
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
DOI 10.1214/aos/1079120130
-
Zhang, T. Statistical behaviour and consistency of classification methods based on convex risk minimization. Annals of Mathematical Statistics, 32:56-134, 2004. (Pubitemid 41449305)
-
(2004)
Annals of Statistics
, vol.32
, Issue.1
, pp. 56-134
-
-
Zhang, T.1
|