-
1
-
-
27144549260
-
Editorial: Special issue on learning from imbalance data sets
-
N. V. Chawla, N. Japkowicz, and A. Kotcz, "Editorial: Special issue on learning from imbalance data sets," SIGKDD explorations, vol. 6, no. 1, pp. 1-6, 2004.
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 1-6
-
-
Chawla, N.V.1
Japkowicz, N.2
Kotcz, A.3
-
2
-
-
33845536164
-
The class imbalance problem: A sistematic study
-
N. Japkowicz and S. Stephen, "The class imbalance problem: A sistematic study," Intelligent Data Analysis, vol. 6, no. 5, pp. 429-449, 2002.
-
(2002)
Intelligent Data Analysis
, vol.6
, Issue.5
, pp. 429-449
-
-
Japkowicz, N.1
Stephen, S.2
-
3
-
-
1442356040
-
A multiple resampling method for learning from imbalanced data sets
-
A. Estabrooks, T. Jo, and N. Japkowicz, "A multiple resampling method for learning from imbalanced data sets," Computational Intelligence, vol. 20, no. 1, pp. 18-36, 2004.
-
(2004)
Computational Intelligence
, vol.20
, Issue.1
, pp. 18-36
-
-
Estabrooks, A.1
Jo, T.2
Japkowicz, N.3
-
4
-
-
27144531570
-
A study of the behavior of several methods for balancing machine learning training data
-
G. Batista, "A study of the behavior of several methods for balancing machine learning training data," SIGKDD explorations, vol. 6, no. 1, pp. 20-29, 2004.
-
(2004)
SIGKDD Explorations
, vol.6
, Issue.1
, pp. 20-29
-
-
Batista, G.1
-
5
-
-
0343081513
-
Reduction techniques for exemplar-based learning algorithms
-
A. Wilson and T. R. Martinez, "Reduction techniques for exemplar-based learning algorithms," Machine learning, vol. 38, no. 3, pp. 257-286, 2000.
-
(2000)
Machine Learning
, vol.38
, Issue.3
, pp. 257-286
-
-
Wilson, A.1
Martinez, T.R.2
-
6
-
-
0030688627
-
Training of neural networks for classification of imbalanced remote-sensing data
-
S. B. Serpico and L. Bruzzone, "Training of neural networks for classification of imbalanced remote-sensing data," in Geoscience and Remote Sensing, IGARSS97, vol. 3, 1997, pp. 1202-1204.
-
(1997)
Geoscience and Remote Sensing, IGARSS97
, vol.3
, pp. 1202-1204
-
-
Serpico, S.B.1
Bruzzone, L.2
-
7
-
-
38049120179
-
Improving the performance of the rbf neural networks trained with imbalanced samples
-
Proceedings IWANN 2007
-
R. Alejo, V. Garca, J. M. Sotoca, R. A. Mollineda, and J. S. Snchez, "Improving the performance of the rbf neural networks trained with imbalanced samples," LNCS, Proceedings IWANN 2007, vol. 4507, pp. 162-169, 2007.
-
(2007)
LNCS
, vol.4507
, pp. 162-169
-
-
Alejo, R.1
Garca, V.2
Sotoca, J.M.3
Mollineda, R.A.4
Snchez, J.S.5
-
8
-
-
55349129292
-
An empirical study for the multi-class imbalance problem with neural networks
-
Proc. of CIARP08
-
R. Alejo, J. Martinez Sotoca, and G. Casan, "An empirical study for the multi-class imbalance problem with neural networks," in LNCS, Proc. of CIARP08, vol. 5197, 2008, pp. 479-486.
-
(2008)
LNCS
, vol.5197
, pp. 479-486
-
-
Alejo, R.1
Martinez Sotoca, J.2
Casan, G.3
-
9
-
-
67449124371
-
A novel fitness function in genetic algorithms to optimize neural networks for imbalanced data sets
-
Los Alamitos, CA, USA: IEEE Computer Society
-
K.-C. Huang, Y.-H. Kuo, and I.-C. Yeh, "A novel fitness function in genetic algorithms to optimize neural networks for imbalanced data sets," in Proc. of International Conference on Intelligent Systems Design and Applications, vol. 2. Los Alamitos, CA, USA: IEEE Computer Society, 2008, pp. 647-650.
-
(2008)
Proc. of International Conference on Intelligent Systems Design and Applications
, vol.2
, pp. 647-650
-
-
Huang, K.-C.1
Kuo, Y.-H.2
Yeh, I.-C.3
-
10
-
-
33846046907
-
A kernel-based two-class classifier for imbalanced data sets
-
Jan.
-
X. Hong, S. Chen, and C. Harris, "A kernel-based two-class classifier for imbalanced data sets," IEEE Transactions on Neural Networks, vol. 18, no. 1, pp. 28-41, Jan. 2007.
-
(2007)
IEEE Transactions on Neural Networks
, vol.18
, Issue.1
, pp. 28-41
-
-
Hong, X.1
Chen, S.2
Harris, C.3
-
11
-
-
31344442851
-
Training cost-sensitive neural networks with methods addressing the class imbalance problem
-
X.-Y. Liu, "Training cost-sensitive neural networks with methods addressing the class imbalance problem," IEEE Trans. on Knowl. and Data Eng., vol. 18, no. 1, pp. 63-77, 2006.
-
(2006)
IEEE Trans. on Knowl. and Data Eng.
, vol.18
, Issue.1
, pp. 63-77
-
-
Liu, X.-Y.1
-
12
-
-
67349126516
-
A novel modular neural network for imbalanced classification problems
-
vol. In Press
-
Z.-Q. Zhao, "A novel modular neural network for imbalanced classification problems," Pattern Recognition Letters, vol. In Press, 2009.
-
(2009)
Pattern Recognition Letters
-
-
Zhao, Z.-Q.1
-
13
-
-
38349079707
-
Efficient classification of multi-label and imbalanced data using min-max modular classifiers
-
K. Chen, B.-L. Lu, and J. Kwok, "Efficient classification of multi-label and imbalanced data using min-max modular classifiers," in Proc. International Joint Conference on Neural Networks IJCNN'06., 2006, pp. 1770-1775.
-
Proc. International Joint Conference on Neural Networks IJCNN'06., 2006
, pp. 1770-1775
-
-
Chen, K.1
Lu, B.-L.2
Kwok, J.3
-
15
-
-
85180619228
-
Speaker recognition using neural networks and conventional classifiers
-
A. K. T. Farrel K. R., Mammone R. J., "Speaker recognition using neural networks and conventional classifiers," IEEE Transations on Speech and Audio Processing, vol. 2, No. 1, part II, 1994.
-
(1994)
IEEE Transations on Speech and Audio Processing
, vol.2
, Issue.1 PART II
-
-
Farrel, A.K.T.1
R, K.2
Mammone, R.J.3
-
16
-
-
63649136563
-
A comparative study of mlp-bsed artificial neural networks in text-indenpendent speaker verification against gmm-based systems
-
B. L. Paul Dalsgaard and H. Benner, Eds., ISCA, 3-7 September
-
C. Vivaracho-Pascual, J. Ortega-Garcia, L. Alonso-Romero, and Q. Moro-Sancho, "A comparative study of mlp-bsed artificial neural networks in text-indenpendent speaker verification against gmm-based systems," in Proc. of Eurospeech01, B. L. Paul Dalsgaard and H. Benner, Eds., vol. 3. ISCA, 3-7 September 2001, pp. 1753-1756.
-
(2001)
Proc. of Eurospeech01
, vol.3
, pp. 1753-1756
-
-
Vivaracho-Pascual, C.1
Ortega-Garcia, J.2
Alonso-Romero, L.3
Moro-Sancho, Q.4
-
17
-
-
33750305698
-
Improving svm training by means of ntil when the data sets are imbalanced
-
Foundations of Intelligent Systems, 16th Iternational Symposium ISMIS
-
C. E. Vivaracho, "Improving svm training by means of ntil when the data sets are imbalanced," Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence, Foundations of Intelligent Systems, 16th Iternational Symposium ISMIS, no. 4203, pp. 111-120, 2006.
-
(2006)
Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence
, Issue.4203
, pp. 111-120
-
-
Vivaracho, C.E.1
-
18
-
-
0036522693
-
Strategies for learning in class imbalance problems
-
R. Barandela, V. Sanchez, J. S. andj Garcia, and E. Rangel, "Strategies for learning in class imbalance problems," Pattern Recognition, vol. 36, no. 3, pp. 335-337, 2003.
-
(2003)
Pattern Recognition
, vol.36
, Issue.3
, pp. 335-337
-
-
Barandela, R.1
Sanchez, V.2
Garcia, J.S.3
Rangel, E.4
-
19
-
-
51649117751
-
An efficient low cost approach for on-line signature recognition based on length normalization and fractional distances
-
C. Vivaracho-Pascual, M. Faundez-Zanuy, and J. M. Pascual, "An efficient low cost approach for on-line signature recognition based on length normalization and fractional distances," Pattern Recognition, vol. 42, no. 1, pp. 183-193, 2009.
-
(2009)
Pattern Recognition
, vol.42
, Issue.1
, pp. 183-193
-
-
Vivaracho-Pascual, C.1
Faundez-Zanuy, M.2
Pascual, J.M.3
-
20
-
-
0035989168
-
AANN: An alternative to gmm for pattern recognition
-
April
-
B. Yegnanarayana and S. Kishore, "AANN: an alternative to gmm for pattern recognition," Neural Networks, vol. 15, no. 3, pp. 459-469, April 2002.
-
(2002)
Neural Networks
, vol.15
, Issue.3
, pp. 459-469
-
-
Yegnanarayana, B.1
Kishore, S.2
-
21
-
-
7444250249
-
Extracting the most discriminant subset from a pool of candidates to optimize discriminant classifier training
-
Foundations of Intelligent Systems, 14th Iternational Symposium ISMIS
-
C. E. Vivaracho, J. Ortega-Garcia, L. Alonso, and Q. I. Moro, "Extracting the most discriminant subset from a pool of candidates to optimize discriminant classifier training," Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence, Foundations of Intelligent Systems, 14th Iternational Symposium ISMIS, no. 2871, pp. 640-645, 2003.
-
(2003)
Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence
, Issue.2871
, pp. 640-645
-
-
Vivaracho, C.E.1
Ortega-Garcia, J.2
Alonso, L.3
Moro, Q.I.4
-
22
-
-
0032204147
-
Are multilayer perceptrons adequate for pattern recognition and verification?
-
November
-
M. Gori, "Are multilayer perceptrons adequate for pattern recognition and verification?" IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 20, no. 11, pp. 1121-1132, November 1998.
-
(1998)
IEEE Trans. on Pattern Analysis and Machine Intelligence
, vol.20
, Issue.11
, pp. 1121-1132
-
-
Gori, M.1
-
23
-
-
0001924639
-
Neural networks classification and prior class probabilities
-
S. Lawrence, I. Burns, A. Back, A. Chung Tsoi, and C. L. Giles, "Neural networks classification and prior class probabilities," Lecture Notes in Computer Science State-of-the-Art Surveys, pp. 299-314, 1998.
-
(1998)
Lecture Notes in Computer Science State-of-the-Art Surveys
, pp. 299-314
-
-
Lawrence, S.1
Burns, I.2
Back, A.3
Chung Tsoi, A.4
Giles, C.L.5
|