-
2
-
-
0003802343
-
-
Wadsworth and Brooks, Monterey, CA
-
L. Breiman, J. Friedman, R. Olshen, and C. Stone. Classification and Regression Trees. Wadsworth and Brooks, Monterey, CA, 1984.
-
(1984)
Classification and Regression Trees.
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
3
-
-
70350214936
-
Using resampling techniques for better quality discretization
-
Berlin, Heidelberg, Springer-Verlag
-
T. Qureshi and D. A. Zighed. Using resampling techniques for better quality discretization. In Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition,MLDM '09, pages 68-81, Berlin, Heidelberg, 2009. Springer-Verlag.
-
(2009)
Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition,MLDM '09
, pp. 68-81
-
-
Qureshi, T.1
Zighed, D.A.2
-
4
-
-
0346586663
-
SMOTE: Synthetic minority over-sampling technique
-
N.V. Chawla, K.W. Bowyer, L.O. Hall, and W.P. Kegelmeyer. SMOTE: synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16(1):321-357, 2002.
-
(2002)
Journal of Artificial Intelligence Research
, vol.16
, Issue.1
, pp. 321-357
-
-
Chawla, N.V.1
Bowyer, K.W.2
Hall, L.O.3
Kegelmeyer, W.P.4
-
5
-
-
61549114384
-
SVMs modeling for highly imbalanced classification. Systems, man, and cybernetics, part B: Cybernetics
-
February
-
Y. Tang, Y.Q. Zhang, N.V. Chawla, and S. Krasser. SVMs modeling for highly imbalanced classification. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, 39(1):281-288, February 2009.
-
(2009)
IEEE Transactions on
, vol.39
, Issue.1
, pp. 281-288
-
-
Tang, Y.1
Zhang, Y.Q.2
Chawla, N.V.3
Krasser, S.4
-
6
-
-
34249753618
-
Support-vector networks
-
C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20:273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
8
-
-
20844441675
-
KBA: Kernel boundary alignment considering imbalanced data distribution
-
June
-
G. Wu and E.Y. Chang. KBA: kernel boundary alignment considering imbalanced data distribution. IEEE Transactions on Knowledge and Data Engineering, 17(6):786-795, June 2005.
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.6
, pp. 786-795
-
-
Wu, G.1
Chang, E.Y.2
-
9
-
-
0003260442
-
Combining statistical learning with a knowledge-based approach-a case study in intensive care monitoring
-
Citeseer
-
K. Morik, P. Brockhausen, and T. Joachims. Combining statistical learning with a knowledge-based approach-a case study in intensive care monitoring. In Proceedings of 16th ICML, pages 268-277. Citeseer, 1999.
-
(1999)
Proceedings of 16th ICML
, pp. 268-277
-
-
Morik, K.1
Brockhausen, P.2
Joachims, T.3
-
11
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. In Machine Learning, pages 105-139, 1998.
-
(1998)
Machine Learning
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
13
-
-
79953830965
-
Detection of breast cancer using an asymmetric entropy measure
-
Springer
-
S. Marcellin, D.A. Zighed, and G. Ritschard. Detection of breast cancer using an asymmetric entropy measure. In Computational Statistics, volume 25, pages 975-982. Springer, 2006.
-
(2006)
Computational Statistics
, vol.25
, pp. 975-982
-
-
Marcellin, S.1
Zighed, D.A.2
Ritschard, G.3
-
14
-
-
84873579825
-
A robust decision tree algorithms for imbalanced data sets
-
Society for Industrial and Applied Mathematics
-
W. Liu, S. Chawla, D.A. Cieslak, and N.V. Chawla. A robust decision tree algorithms for imbalanced data sets. In Proceedings of the Tenth SIAM International Conference on Data Mining, pages 766-777. Society for Industrial and Applied Mathematics, 2010.
-
(2010)
Proceedings of the Tenth SIAM International Conference on Data Mining
, pp. 766-777
-
-
Liu, W.1
Chawla, S.2
Cieslak, D.A.3
Chawla, N.V.4
-
15
-
-
33646542067
-
Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: Cohort study
-
May
-
A. Bauer, J.W. Kantelhardt, P Barthel, R. Schneider, T. Mäkikallio, K. Ulm, K. Hnatkova, A. Schömig, H. Huikuri, Bunde A., M. Malik, and G. Schmidt. Deceleration capacity of heart rate as a predictor of mortality after myocardial infarction: cohort study. The Lancet, 367(9523):1674-81, May 2006.
-
(2006)
The Lancet
, vol.367
, Issue.9523
, pp. 1674-1681
-
-
Bauer, A.1
Kantelhardt, J.W.2
Barthel, P.3
Schneider, R.4
Mäkikallio, T.5
Ulm, K.6
Hnatkova, K.7
Schömig, A.8
Huikuri, H.9
Bunde, A.10
Malik, M.11
Schmidt, G.12
-
16
-
-
0029928495
-
Heart rate variability: Standards of measurement, physiological interpretation and clinical use
-
March
-
M. Malik. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation, 93(5):1043-1065, March 1996.
-
(1996)
Circulation
, vol.93
, Issue.5
, pp. 1043-1065
-
-
Malik, M.1
-
17
-
-
58749102774
-
Mohanavelu. Relation of death within 90 days of non-st-elevation acute coronary syndromes to variability in electrocardiographic morphology
-
Feb
-
Z. Syed, B. M. Scirica, and S. et. al. Mohanavelu. Relation of death within 90 days of non-st-elevation acute coronary syndromes to variability in electrocardiographic morphology. American Journal of Cardiology, 103(3):307-11, Feb 2009.
-
(2009)
American Journal of Cardiology
, vol.103
, Issue.3
, pp. 307-311
-
-
Syed, Z.1
Scirica, B.M.2
-
20
-
-
0001884644
-
Individual comparisons by ranking methods
-
F.Wilcoxon. Individual Comparisons by Ranking Methods. Biometrics Bulletin, 1(6):80-83, 1945.
-
(1945)
Biometrics Bulletin
, vol.1
, Issue.6
, pp. 80-83
-
-
Wilcoxon, F.1
|