-
1
-
-
84947041871
-
Imagenet large scale visual recognition challenge
-
)
-
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M. and Berg, A.C.: Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 115(3), pp.211-252 (2015)
-
(2015)
International Journal of Computer Vision
, vol.115
, Issue.3
, pp. 211-252
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
-
2
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K. and Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In IEEE Conference on Computer Vision and Pattern Recognition, pp. 248-255 (2009)
-
(2009)
IEEE Conference on Computer Vision and Pattern Recognition
, pp. 248-255
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.J.4
Li, K.5
Fei-Fei, L.6
-
3
-
-
84874557714
-
Label-noise reduction with support vector machines
-
Fefilatyev, S., Shreve, M., Kramer, K., Hall, L., Goldgof, D., Kasturi, R., Daly, K., Remsen, A. and Bunke, H.: Label-noise reduction with support vector machines. In IEEE International Conference on Pattern Recognition. pp. 3504-3508. (2012)
-
(2012)
IEEE International Conference on Pattern Recognition
, pp. 3504-3508
-
-
Fefilatyev, S.1
Shreve, M.2
Kramer, K.3
Hall, L.4
Goldgof, D.5
Kasturi, R.6
Daly, K.7
Remsen, A.8
Bunke, H.9
-
4
-
-
84955644173
-
Active cleaning of label noise
-
Ekambaram, R., Fefilatyev, S., Shreve, M., Kramer, K., Hall, L.O., Goldgof, D.B. and Kasturi, R.: Active cleaning of label noise. Pattern Recognition, 51, pp.463-480. (2016)
-
(2016)
Pattern Recognition
, vol.51
, pp. 463-480
-
-
Ekambaram, R.1
Fefilatyev, S.2
Shreve, M.3
Kramer, K.4
Hall, L.O.5
Goldgof, D.B.6
Kasturi, R.7
-
6
-
-
19544372918
-
Class noise vs. Attribute noise: A quantitative study
-
)
-
Zhu, X. and Wu, X.: Class noise vs. attribute noise: A quantitative study. Artificial Intelligence Review, 22(3), pp.177-210 (2004)
-
(2004)
Artificial Intelligence Review
, vol.22
, Issue.3
, pp. 177-210
-
-
Zhu, X.1
Wu, X.2
-
7
-
-
0034276320
-
Randomizing outputs to increase prediction accuracy
-
Breiman, L.: Randomizing outputs to increase prediction accuracy. Machine Learning, 40(3), pp.229-242. (2000)
-
(2000)
Machine Learning
, vol.40
, Issue.3
, pp. 229-242
-
-
Breiman, L.1
-
8
-
-
56449095607
-
Class-switching neural network ensembles
-
)
-
Martnez-Muoz, G., Snchez-Martnez, A., Hernndez-Lobato, D. and Surez, A.: Class-switching neural network ensembles. Neurocomputing, 71(13), pp.2521-2528. (2008)
-
(2008)
Neurocomputing
, vol.71
, Issue.13
, pp. 2521-2528
-
-
Martnez-Muoz, G.1
Snchez-Martnez, A.2
Hernndez-Lobato, D.3
Surez, A.4
-
10
-
-
24644505329
-
Pruning training sets for learning of object categories
-
(
-
Angelova, A., Abu-Mostafam, Y. and Perona, P.: Pruning training sets for learning of object categories. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 1, pp. 494-501). (2005)
-
(2005)
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
, vol.1
, pp. 494-501
-
-
Angelova, A.1
Abu-Mostafam, Y.2
Perona, P.3
-
11
-
-
85099427126
-
Support vector machine for outlier detection in breast cancer survivability prediction
-
In Springer Berlin Heidelberg
-
Thongkam, J., Xu, G., Zhang, Y. and Huang, F.: Support vector machine for outlier detection in breast cancer survivability prediction. In Asia-Pacific Web Conference (pp. 99-109). Springer Berlin Heidelberg. (2008)
-
(2008)
Asia-Pacific Web Conference
, pp. 99-109
-
-
Thongkam, J.1
Xu, G.2
Zhang, Y.3
Huang, F.4
-
12
-
-
77956266577
-
Noise reduction for instance-based learning with a local maximal margin approach
-
)
-
Segata, N., Blanzieri, E., Delany, S.J. and Cunningham, P.: Noise reduction for instance-based learning with a local maximal margin approach. Journal of Intelligent Information Systems, 35(2), pp.301-331 (2010)
-
(2010)
Journal of Intelligent Information Systems
, vol.35
, Issue.2
, pp. 301-331
-
-
Segata, N.1
Blanzieri, E.2
Delany, S.J.3
Cunningham, P.4
-
14
-
-
85044368584
-
-
Submitted for publication
-
Li, Y., Wei, F., Ekambaram, R., Xinming, Ou, Hall, L.: Zero-Day Android Malware Detection Through Label Noise Identication. Submitted for publication.
-
Zero-Day Android Malware Detection Through Label Noise Identication
-
-
Li, Y.1
Wei, F.2
Ekambaram, R.3
Xinming, O.4
Hall, L.5
-
15
-
-
34249753618
-
Support-vector networks
-
)
-
Cortes, C. and Vapnik, V.: Support-vector networks. Machine learning, 20(3), pp.273-297 (1995)
-
(1995)
Machine Learning
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
17
-
-
84937522268
-
Going deeper with convolutions
-
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V. and Rabinovich, A.: Going deeper with convolutions. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 1-9) (2015)
-
(2015)
Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition
, pp. 1-9
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
20
-
-
80555140075
-
Scikit-learn: Machine learning in python
-
Oct
-
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V. and Vanderplas, J.: Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12(Oct), pp.2825-2830 (2011)
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
Vanderplas, J.11
-
22
-
-
76749092270
-
The WEKA data mining software: An update
-
)
-
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten, I.H.: The WEKA data mining software: an update. ACM SIGKDD explorations newsletter, 11(1), pp.10-18. (2009)
-
(2009)
ACM SIGKDD Explorations Newsletter
, vol.11
, Issue.1
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
|