-
1
-
-
27144549260
-
Editorial: Special Issue on Learning from Imbalanced Data Sets
-
Chawla, N.V., Japkowicz, N., Kotcz, A.: Editorial: Special Issue on Learning from Imbalanced Data Sets. SIKDD Explorations Newsletters 6, 1-6 (2004)
-
(2004)
SIKDD Explorations Newsletters
, vol.6
, pp. 1-6
-
-
Chawla, N.V.1
Japkowicz, N.2
Kotcz, A.3
-
2
-
-
59149090747
-
-
Weiss, G.M.: Mining with Rarity: A Unifying Framework. Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining 6, 7-19 (2004)
-
Weiss, G.M.: Mining with Rarity: A Unifying Framework. Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining 6, 7-19 (2004)
-
-
-
-
7
-
-
27144489164
-
A Tutorial on Support Vector Machines for Pattern Recognition
-
Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2, 121-167 (1998)
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
8
-
-
0002648330
-
Controlling the Sensitivity of Support Vector Machines
-
Stockholm, Sweden, pp
-
Veropoulos, K., Campbell, C., Cristianini, N.: Controlling the Sensitivity of Support Vector Machines. In: International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 55-60 (1999)
-
(1999)
International Joint Conference on Artificial Intelligence
, pp. 55-60
-
-
Veropoulos, K.1
Campbell, C.2
Cristianini, N.3
-
9
-
-
0346586663
-
SMOTE: Synthetic Minority Over-sampling Technique
-
Chawla, N., Bowyer, K., Hall, L., Kegelmeyer, 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.1
Bowyer, K.2
Hall, L.3
Kegelmeyer, P.4
-
10
-
-
22944452794
-
-
Akbani, R., Kwek, S., Japkowicz, N.: Applying Support Vector Machines to Imbalanced Datasets. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), 3201, pp. 39-50. Springer, Heidelberg (2004)
-
Akbani, R., Kwek, S., Japkowicz, N.: Applying Support Vector Machines to Imbalanced Datasets. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), vol. 3201, pp. 39-50. Springer, Heidelberg (2004)
-
-
-
-
11
-
-
35048860377
-
-
Cohen, G., Hilario, M., Pellegrini, C.: One-Class Support Vector Machines with a Conformal Kernel - A Case Study in Handling Class Imbalance. In: Fred, A.L.N., Caelli, T., Duin, R.P.W., Campilho, A.C., Ridder, D. (eds.) SSPR&SPR 2004. LNCS, 3138, pp. 850-858. Springer, Heidelberg (2004)
-
Cohen, G., Hilario, M., Pellegrini, C.: One-Class Support Vector Machines with a Conformal Kernel - A Case Study in Handling Class Imbalance. In: Fred, A.L.N., Caelli, T., Duin, R.P.W., Campilho, A.C., Ridder, D. (eds.) SSPR&SPR 2004. LNCS, vol. 3138, pp. 850-858. Springer, Heidelberg (2004)
-
-
-
-
12
-
-
24344490308
-
Support Vector Machines for Candidate Nodules Classification
-
Campadelli, P., Casiraghi, E., Valentini, G.: Support Vector Machines for Candidate Nodules Classification. Neurocomputing 68, 281-289 (2005)
-
(2005)
Neurocomputing
, vol.68
, pp. 281-289
-
-
Campadelli, P.1
Casiraghi, E.2
Valentini, G.3
-
13
-
-
0034860736
-
Classification of Imbalanced Data with Transparent Kernels
-
IEEE Press, Washington
-
Lee, K.K., Gunn, S.R., Harris, C.J., Reed, P.A.S.: Classification of Imbalanced Data with Transparent Kernels. In: INNS-IEEE International Joint Conference on Neural Networks, pp. 2410-2415. IEEE Press, Washington (2001)
-
(2001)
INNS-IEEE International Joint Conference on Neural Networks
, pp. 2410-2415
-
-
Lee, K.K.1
Gunn, S.R.2
Harris, C.J.3
Reed, P.A.S.4
-
15
-
-
33144459635
-
Response Modeling with Support Vector Machines
-
Shin, H., Cho, S.B.: Response Modeling with Support Vector Machines. Expert Systems with Applications 30, 746-760 (2006)
-
(2006)
Expert Systems with Applications
, vol.30
, pp. 746-760
-
-
Shin, H.1
Cho, S.B.2
-
19
-
-
33646023117
-
An Introduction to ROC Analysis
-
Fawcett, T.: An Introduction to ROC Analysis. Pattern Recognition Letters 27, 861-874 (2006)
-
(2006)
Pattern Recognition Letters
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
20
-
-
84947918649
-
-
Kubat, M., Holte, R., Matwin, S.: Learning when Negative Examples Abound. In: Someren, M.V., Widmer, G. (eds.) ECML 1997. LNCS, 1224, pp. 146-153. Springer, Heidelberg (1997)
-
Kubat, M., Holte, R., Matwin, S.: Learning when Negative Examples Abound. In: Someren, M.V., Widmer, G. (eds.) ECML 1997. LNCS, vol. 1224, pp. 146-153. Springer, Heidelberg (1997)
-
-
-
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