-
1
-
-
22944452794
-
Applying support vector machines to imbalanced datasets
-
In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.), Springer, Heidelberg
-
Akbani, R., Kwek, S.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)
-
(2004)
ECML 2004. LNCS (LNAI)
, vol.3201
, pp. 39-50
-
-
Akbani, R.1
Kwek, S.S.2
Japkowicz, N.3
-
3
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Boser, B.E., Guyon, I.M., Vapnik, V.N.: A training algorithm for optimal margin classifiers. In: Proceedings of the 5th Annual Workshop on Computational Learning Theory, COLT 1992, pp. 144-152. ACM (1992)
-
(1992)
Proceedings of the 5th Annual Workshop on Computational Learning Theory, COLT 1992
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
5
-
-
0346586663
-
Smote: Synthetic minority over-sampling technique
-
Chawla, N.V., Bowyer, K.W., Hall, L.O., 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
-
6
-
-
9444297357
-
SMOTEBoost: Improving prediction of the minority class in boosting
-
Chawla, N.V., Lazarevic, A., Hall, L.O., Bowyer, K.W.: SMOTEBoost: Improving prediction of the minority class in boosting. Proceedings of the Principles of Knowledge Discovery in Databases (PKDD), 107-119 (2003)
-
(2003)
Proceedings of the Principles of Knowledge Discovery in Databases (PKDD)
, pp. 107-119
-
-
Chawla, N.V.1
Lazarevic, A.2
Hall, L.O.3
Bowyer, K.W.4
-
7
-
-
0242372103
-
Data imbalance in surveillance of nosocomial infections
-
In: Perner, P., Brause, R., Holzhütter, H.-G. (eds.), Springer, Heidelberg
-
Cohen, G., Hilario, M., Sax, H., Hugonnet, S.: Data imbalance in surveillance of nosocomial infections. In: Perner, P., Brause, R., Holzhütter, H.-G. (eds.) ISMDA 2003. LNCS, vol. 2868, pp. 109-117. Springer, Heidelberg (2003)
-
(2003)
ISMDA 2003. LNCS
, vol.2868
, pp. 109-117
-
-
Cohen, G.1
Hilario, M.2
Sax, H.3
Hugonnet, S.4
-
8
-
-
78149481675
-
Support vectors selection for supervised learning using an ensemble approach
-
Guo, L., Boukir, S., Chehata, N.: Support vectors selection for supervised learning using an ensemble approach. In: Proceedings of the International Conference on Pattern Recognition (ICPR), pp. 37-40 (August 2010)
-
(2010)
Proceedings of the International Conference on Pattern Recognition (ICPR)
, pp. 37-40
-
-
Guo, L.1
Boukir, S.2
Chehata, N.3
-
9
-
-
27144501672
-
Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning
-
In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.), Springer, Heidelberg
-
Han, H., Wang, W.-Y., Mao, B.-H.: Borderline-SMOTE: A new over-sampling method in imbalanced data sets learning. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005. LNCS, vol. 3644, pp. 878-887. Springer, Heidelberg (2005)
-
(2005)
ICIC 2005. LNCS
, vol.3644
, pp. 878-887
-
-
Han, H.1
Wang, W.-Y.2
Mao, B.-H.3
-
10
-
-
33846046907
-
A kernel-based two-class classifier for imbalanced data sets
-
Hong, X., Chen, S., Harris, C.: A kernel-based two-class classifier for imbalanced data sets. IEEE Transactions on Neural Networks 18(1), 28-41 (2007)
-
(2007)
IEEE Transactions on Neural Networks
, vol.18
, Issue.1
, pp. 28-41
-
-
Hong, X.1
Chen, S.2
Harris, C.3
-
11
-
-
84902358176
-
Fusion of audiovisual features using hierarchical classifier systems for the recognition of affective states and the state of depression
-
De Marsico, M., Tabbone, A., Fred, A. (eds.), SciTePress
-
Kächele, M., Glodek, M., Zharkov, D., Meudt, S., Schwenker, F.: Fusion of audiovisual features using hierarchical classifier systems for the recognition of affective states and the state of depression. In: De Marsico, M., Tabbone, A., Fred, A. (eds.) Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM), pp. 671-678. SciTePress (2014)
-
(2014)
Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM)
, pp. 671-678
-
-
Kächele, M.1
Glodek, M.2
Zharkov, D.3
Meudt, S.4
Schwenker, F.5
-
12
-
-
84910095079
-
Cascaded fusion of dynamic, spatial, and textural feature sets for person-independent facial emotion recognition
-
(to appear
-
Kächele, M., Schwenker, F.: Cascaded fusion of dynamic, spatial, and textural feature sets for person-independent facial emotion recognition. In: Proceedings of the International Conference on Pattern Recognition (ICPR) (to appear, 2014)
-
(2014)
Proceedings of the International Conference on Pattern Recognition (ICPR)
-
-
Kächele, M.1
Schwenker, F.2
-
13
-
-
38049091234
-
Candidate vectors selection for training support vector machines
-
August
-
Li, M., Chen, F., Kou, J.: Candidate vectors selection for training support vector machines. In: Third International Conference on Natural Computation, ICNC 2007, vol. 1, pp. 538-542 (August 2007)
-
(2007)
Third International Conference on Natural Computation, ICNC 2007
, vol.1
, pp. 538-542
-
-
Li, M.1
Chen, F.2
Kou, J.3
-
14
-
-
32344438970
-
Extreme re-balancing for svms: A case study
-
Raskutti, B., Kowalczyk, A.: Extreme re-balancing for svms: A case study. SIGKDD Explor. Newsl. 6(1), 60-69 (2004)
-
(2004)
SIGKDD Explor. Newsl
, vol.6
, Issue.1
, pp. 60-69
-
-
Raskutti, B.1
Kowalczyk, A.2
-
15
-
-
84874214581
-
On the discovery of events in EEG data utilizing information fusion
-
Schels, M., Scherer, S., Glodek, M., Kestler, H., Palm, G., Schwenker, F.: On the discovery of events in EEG data utilizing information fusion. Computational Statistics 28(1), 5-18 (2013)
-
(2013)
Computational Statistics
, vol.28
, Issue.1
, pp. 5-18
-
-
Schels, M.1
Scherer, S.2
Glodek, M.3
Kestler, H.4
Palm, G.5
Schwenker, F.6
-
16
-
-
0000487102
-
Estimating the support of a high-dimensional distribution
-
Schölkopf, B., Platt, J.C., Shawe-Taylor, J.C., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Computation 13(7), 1443-1471 (2001)
-
(2001)
Neural Computation
, vol.13
, Issue.7
, pp. 1443-1471
-
-
Schölkopf, B.1
Platt, J.C.2
Shawe-Taylor, J.C.3
Smola, A.J.4
Williamson, R.C.5
-
18
-
-
34547995826
-
Experimental perspectives on learning from imbalanced data
-
ACM, New York
-
Van Hulse, J., Khoshgoftaar, T.M., Napolitano, A.: Experimental perspectives on learning from imbalanced data. In: Proceedings of the International Conference on Machine Learning, ICML 2007, pp. 935-942. ACM, New York (2007)
-
(2007)
Proceedings of the International Conference on Machine Learning, ICML 2007
, pp. 935-942
-
-
Van Hulse, J.1
Khoshgoftaar, T.M.2
Napolitano, A.3
-
20
-
-
76649113406
-
Improving SVM classification with imbalance data set
-
In: Leung, C.S., Lee, M., Chan, J.H. (eds.), Springer, Heidelberg
-
Zeng, Z.-Q., Gao, J.: Improving SVM classification with imbalance data set. In: Leung, C.S., Lee, M., Chan, J.H. (eds.) ICONIP 2009, Part I. LNCS, vol. 5863, pp. 389-398. Springer, Heidelberg (2009)
-
(2009)
ICONIP 2009, Part I. LNCS
, vol.5863
, pp. 389-398
-
-
Zeng, Z.-Q.1
Gao, J.2
|