-
1
-
-
0001306637
-
Regression models for ordinal data
-
P. McCullagh, "Regression models for ordinal data," Journal of the Royal Statistical Society, vol. 42, no. 2, pp. 109-142, 1980.
-
(1980)
Journal of the Royal Statistical Society
, vol.42
, Issue.2
, pp. 109-142
-
-
McCullagh, P.1
-
3
-
-
77951766869
-
Kernel discriminant learning for ordinal regression
-
B.-Y. Sun, J. Li, D. D. Wu, X.-M. Zhang, and W.-B. Li, "Kernel discriminant learning for ordinal regression," IEEE Transactions on Knowledge and Data Engineering, vol. 22, pp. 906-910, 2010.
-
(2010)
IEEE Transactions on Knowledge and Data Engineering
, vol.22
, pp. 906-910
-
-
Sun, B.-Y.1
Li, J.2
Wu, D.D.3
Zhang, X.-M.4
Li, W.-B.5
-
4
-
-
33644747688
-
Characteristics associated with liver graft failure: The concept of a donor risk index
-
S. Feng, N. Goodrich, J. Bragg-Gresham, D. Dykstra, J. Punch, M. DebRoy, S. Greenstein, and R. Merion, "Characteristics associated with liver graft failure: the concept of a donor risk index," Am J Trans, vol. 6, no. 4, pp. 783-90, 2006.
-
(2006)
Am J Trans
, vol.6
, Issue.4
, pp. 783-790
-
-
Feng, S.1
Goodrich, N.2
Bragg-Gresham, J.3
Dykstra, D.4
Punch, J.5
Debroy, M.6
Greenstein, S.7
Merion, R.8
-
5
-
-
0033120319
-
Predicting cytomegalovirus disease after renal transplantation: An artificial neural network approach
-
D. Sheppard, D. McPhee, C. Darke, B. Shrethra, R. Moore, A. Jurewitz, and A. Gray, "Predicting cytomegalovirus disease after renal transplantation: an artificial neural network approach." Int J Med Inform, vol. 54, no. 1, pp. 55-76, 1999.
-
(1999)
Int J Med Inform
, vol.54
, Issue.1
, pp. 55-76
-
-
Sheppard, D.1
McPhee, D.2
Darke, C.3
Shrethra, B.4
Moore, R.5
Jurewitz, A.6
Gray, A.7
-
6
-
-
0029222724
-
Use of neural networks for prediction of graft failure following liver transplantation
-
S. Matis, D. H., I. Marino, R. Mural, and E. Uberbacher, "Use of neural networks for prediction of graft failure following liver transplantation," Computer-Based Medical Systems, IEEE Symposium on, p. 133, 1995.
-
(1995)
Computer-Based Medical Systems, IEEE Symposium on
, pp. 133
-
-
Matis, D.H.S.1
Marino, I.2
Mural, R.3
Uberbacher, E.4
-
7
-
-
80051933357
-
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients
-
M. Cruz-Ramírez, J. C. Fernández-Caballero, F. Fernández-Navarro, and C. Hervás-Martínez, "Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients," in Proceedings of the International Conference on Genetic and Evolutionary Computation (GECCO), 2011.
-
(2011)
Proceedings of the International Conference on Genetic and Evolutionary Computation (GECCO)
-
-
Cruz-Ramírez, M.1
Fernández-Caballero, J.C.2
Fernández-Navarro, F.3
Hervás-Martínez, C.4
-
9
-
-
75149176174
-
Ensemble-based classifiers
-
L. Rokach, "Ensemble-based classifiers," Artificial Intelligence Review, vol. 33, no. 1-2, pp. 1-39, 2009.
-
(2009)
Artificial Intelligence Review
, vol.33
, Issue.1-2
, pp. 1-39
-
-
Rokach, L.1
-
12
-
-
0003663926
-
-
2nd ed., ser. Monog. on Stat. and Applied Prob Chapman & Hall/CRC
-
P. McCullagh and J. A. Nelder, Generalized Linear Models, 2nd ed., ser. Monog. on Stat. and Applied Prob. Chapman & Hall/CRC, 1989.
-
(1989)
Generalized Linear Models
-
-
McCullagh, P.1
Nelder, J.A.2
-
13
-
-
0032635030
-
Ensemble classification by critic-driven combining
-
Washington, DC, USA: IEEE Computer Society
-
D. J. Miller and L. Yan, "Ensemble classification by critic-driven combining," in Proceedings of the Acoustics, Speech, and Signal Processing, IEEE International Conference - Volume 02, ser. ICASSP '99. Washington, DC, USA: IEEE Computer Society, pp. 1029-1032.
-
Proceedings of the Acoustics, Speech, and Signal Processing, IEEE International Conference - Volume 02, Ser. ICASSP '99
, pp. 1029-1032
-
-
Miller, D.J.1
Yan, L.2
-
14
-
-
0033485370
-
Ensemble learning via negative correlation
-
Y. Liu and X. Yao, "Ensemble learning via negative correlation," Neural Networks, vol. 12, no. 10, pp. 1399-1404, 1999.
-
(1999)
Neural Networks
, vol.12
, Issue.10
, pp. 1399-1404
-
-
Liu, Y.1
Yao, X.2
-
15
-
-
0346586663
-
Smote: Synthetic minority over-sampling technique
-
N. Chawla, K. Bowyer, L. Hall, and W. Kegelmeyer, "Smote: Synthetic minority over-sampling technique," Journal of Artificial Intelligence Research, vol. 16, pp. 321-357, 2002.
-
(2002)
Journal of Artificial Intelligence Research
, vol.16
, pp. 321-357
-
-
Chawla, N.1
Bowyer, K.2
Hall, L.3
Kegelmeyer, W.4
-
16
-
-
34249753618
-
Support-vector networks
-
C. Cortes and V. Vapnik, "Support-vector networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
19
-
-
76749092270
-
The weka data mining software: An update
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, "The weka data mining software: an update," ACM SIGKDD Explor. Newsletter, vol. 11, pp. 10-18, 2009.
-
(2009)
ACM SIGKDD Explor. Newsletter
, vol.11
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
20
-
-
77951937354
-
Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks
-
J. C. Fernández-Caballero, F. J. Martínez-Estudillo, C. Hervás-Martínez, and P. A. Gutiérrez, "Sensitivity versus accuracy in multiclass problems using memetic pareto evolutionary neural networks," IEEE Transactions on Neural Networks, vol. 21, no. 5, pp. 750-770, 2010.
-
(2010)
IEEE Transactions on Neural Networks
, vol.21
, Issue.5
, pp. 750-770
-
-
Fernández-Caballero, J.C.1
Martínez-Estudillo, F.J.2
Hervás-Martínez, C.3
Gutiérrez, P.A.4
-
21
-
-
77949512941
-
Evaluation measures for ordinal regression
-
Pisa, Italy
-
S. Baccianella, A. Esuli, and F. Sebastiani, "Evaluation measures for ordinal regression," in Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications (ISDA 09), Pisa, Italy.
-
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications (ISDA 09)
-
-
Baccianella, S.1
Esuli, A.2
Sebastiani, F.3
-
22
-
-
84857541956
-
A preliminary study of ordinal metrics to guide a multi- objective evolutionary algorithm
-
nov
-
M. Cruz-Ramírez, C. Hervás-Martínez, J. Sánchez-Monedero, and P. A. Gutiérrez, "A Preliminary Study of Ordinal Metrics to Guide a Multi- Objective Evolutionary Algorithm," in 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), nov 2011.
-
(2011)
11th International Conference on Intelligent Systems Design and Applications (ISDA 2011)
-
-
Cruz-Ramírez, M.1
Hervás-Martínez, C.2
Sánchez-Monedero, J.3
Gutiérrez, P.A.4
-
23
-
-
84855374161
-
Measuring the performance of ordinal classification
-
J. S. Cardoso and R. Sousa, "Measuring the performance of ordinal classification," International Journal of Pattern Recognition and Artificial Intelligence, vol. 25, no. 8, pp. 1173-1195, 2011.
-
(2011)
International Journal of Pattern Recognition and Artificial Intelligence
, vol.25
, Issue.8
, pp. 1173-1195
-
-
Cardoso, J.S.1
Sousa, R.2
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