-
1
-
-
3042597440
-
Learning multi-label scene classification
-
DOI 10.1016/j.patcog.2004.03.009, PII S0031320304001074
-
M. R. Boutell, J. Luo, X. Shen, and C. M. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):1757-1771, 2004. (Pubitemid 38804465)
-
(2004)
Pattern Recognition
, vol.37
, Issue.9
, pp. 1757-1771
-
-
Boutell, M.R.1
Luo, J.2
Shen, X.3
Brown, C.M.4
-
2
-
-
79955570175
-
On label dependence in multi-label classification
-
Haifa, Israel, June
-
K. Dembczyński, W. Waegeman, W. Cheng, and E. Hüllermeier. On label dependence in multi-label classification. In Workshop Proceedings of Learning from Multi-Label Data, pages 5-12, Haifa, Israel, June 2010.
-
(2010)
Workshop Proceedings of Learning from Multi-Label Data
, pp. 5-12
-
-
Dembczyński, K.1
Waegeman, W.2
Cheng, W.3
Hüllermeier, E.4
-
3
-
-
70350370227
-
An empirical study of multi-label learning methods for video annotation
-
Washington, DC, USA, IEEE Computer Society
-
A. Dimou, G. Tsoumakas, V. Mezaris, I. Kompatsiaris, and I. Vlahavas. An empirical study of multi-label learning methods for video annotation. In Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing, pages 19-24, Washington, DC, USA, 2009. IEEE Computer Society.
-
(2009)
Proceedings of the 2009 Seventh International Workshop on Content-Based Multimedia Indexing
, pp. 19-24
-
-
Dimou, A.1
Tsoumakas, G.2
Mezaris, V.3
Kompatsiaris, I.4
Vlahavas, I.5
-
5
-
-
52949105710
-
Multilabel classification via calibrated label ranking
-
J. Fürnkranz, E. Hüllermeier, E. L. Mencía, and K. Brinker. Multilabel classification via calibrated label ranking. Machine Learning, 73:133-153, 2008.
-
(2008)
Machine Learning
, vol.73
, pp. 133-153
-
-
Fürnkranz, J.1
Hüllermeier, E.2
Mencía, E.L.3
Brinker, K.4
-
7
-
-
77956528679
-
Multi-label prediction via compressed sensing
-
Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Neural Information Processing Systems (NIPS) Foundation
-
D. Hsu, S. Kakade, J. Langford, and T. Zhang. Multi-label prediction via compressed sensing. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 772-780. Neural Information Processing Systems (NIPS) Foundation, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 772-780
-
-
Hsu, D.1
Kakade, S.2
Langford, J.3
Zhang, T.4
-
9
-
-
48349110118
-
The boolean column and column-row matrix decompositions
-
P. Miettinen. The boolean column and column-row matrix decompositions. Data Mining and Knowledge Discovery, 17(1):39-56, 2008.
-
(2008)
Data Mining and Knowledge Discovery
, vol.17
, Issue.1
, pp. 39-56
-
-
Miettinen, P.1
-
10
-
-
85031008452
-
A shared task involving multi-label classification of clinical free text
-
Morristown, NJ, USA, Association for Computational Linguistics
-
J. P. Pestian, C. Brew, P. Matykiewicz, D. J. Hovermale, N. Johnson, K. B. Cohen, and W. Duch. A shared task involving multi-label classification of clinical free text. In BioNLP '07: Proceedings of the Workshop on BioNLP 2007, pages 97-104, Morristown, NJ, USA, 2007. Association for Computational Linguistics.
-
(2007)
BioNLP '07: Proceedings of the Workshop on BioNLP 2007
, pp. 97-104
-
-
Pestian, J.P.1
Brew, C.2
Matykiewicz, P.3
Hovermale, D.J.4
Johnson, N.5
Cohen, K.B.6
Duch, W.7
-
12
-
-
70349968175
-
Classifier chains for multi-label classification
-
J. Read, B. Pfahringer, G. Holmes, and E. Frank. Classifier chains for multi-label classification. In In Proceedings of 20th European Conference on Machine Learning (ECML 2009), pages 254-269, 2009.
-
(2009)
Proceedings of 20th European Conference on Machine Learning (ECML 2009)
, pp. 254-269
-
-
Read, J.1
Pfahringer, B.2
Holmes, G.3
Frank, E.4
-
13
-
-
0033905095
-
BoosTexter: A boosting-based system for text categorization
-
R. Schapire and Y. Singer. Boostexter: a boosting-based system for text categorization. Machine Learning, 39(2/3):135-168, 2000. (Pubitemid 30594821)
-
(2000)
Machine Learning
, vol.39
, Issue.2
, pp. 135-168
-
-
Schapire, R.E.1
Singer, Y.2
-
14
-
-
84861452189
-
Multi-label classification with principle label space transformation
-
G. Tsoumakas, M.-L. Zhang, and Z.-H. Zhou, editors
-
F. Tai and H.-T. Lin. Multi-label classification with principle label space transformation. In G. Tsoumakas, M.-L. Zhang, and Z.-H. Zhou, editors, Proceedings of the second International Workshop on Learning from Multi-Label data, pages 45-52, 2010.
-
(2010)
Proceedings of the Second International Workshop on Learning from Multi-Label Data
, pp. 45-52
-
-
Tai, F.1
Lin, H.-T.2
-
15
-
-
79955562745
-
Identification of label dependencies for multi-label classification
-
G. Tsoumakas, M.-L. Zhang, and Z.-H. Zhou, editors
-
L. Tenenboim-Chekina, L. Rokach, and B. Shapira. Identification of label dependencies for multi-label classification. In G. Tsoumakas, M.-L. Zhang, and Z.-H. Zhou, editors, Proceedings of the second International Workshop on Learning from Multi-Label data, pages 53-60, 2010.
-
(2010)
Proceedings of the Second International Workshop on Learning from Multi-Label Data
, pp. 53-60
-
-
Tenenboim-Chekina, L.1
Rokach, L.2
Shapira, B.3
-
16
-
-
84873447495
-
Multilabel classification of music into emotions
-
K. Trohidis, G. Tsoumakas, G. Kalliris, and I. Vlahavas. Multilabel classification of music into emotions. In Proc. 9th International Conference on Music Information Retrieval (ISMIR 2008), Philadelphia, PA, USA, 2008, 2008.
-
(2008)
Proc. 9th International Conference on Music Information Retrieval (ISMIR 2008), Philadelphia, PA, USA, 2008
-
-
Trohidis, K.1
Tsoumakas, G.2
Kalliris, G.3
Vlahavas, I.4
-
17
-
-
77955908068
-
Correlation-based pruning of stacked binary relevance models for multi-label learning
-
G. Tsoumakas, M.-L. Zhang, and Z.-H. Zhou, editors, Bled, Slovenia
-
G. Tsoumakas, A. Dimou, E. Spyromitros, V. Mezaris, I. Kompatsiaris, and I. Vlahavas. Correlation-based pruning of stacked binary relevance models for multi-label learning. In G. Tsoumakas, M.-L. Zhang, and Z.-H. Zhou, editors, Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD'09), pages 101-116, Bled, Slovenia, 2009.
-
(2009)
Proceedings of the 1st International Workshop on Learning from Multi-Label Data (MLD'09)
, pp. 101-116
-
-
Tsoumakas, G.1
Dimou, A.2
Spyromitros, E.3
Mezaris, V.4
Kompatsiaris, I.5
Vlahavas, I.6
-
18
-
-
52949141834
-
Decision trees for hierarchical multi-label classification
-
C. Vens, J. Struyf, L. Schietgat, S. Džeroski, and H. Blockeel. Decision trees for hierarchical multi-label classification. Machine Learning, 2:185-214, 2008.
-
(2008)
Machine Learning
, vol.2
, pp. 185-214
-
-
Vens, C.1
Struyf, J.2
Schietgat, L.3
Džeroski, S.4
Blockeel, H.5
-
19
-
-
33750260525
-
A k-nearest neighbor based algorithm for multi-label classification
-
Vol. 2. The IEEE Computational Intelligence Society
-
M.-L. Zhang and Z.-H. Zhou. A k-nearest neighbor based algorithm for multi-label classification. In IEEE International Conference on Granular Computing, volume 2, pages 718-721 Vol. 2. The IEEE Computational Intelligence Society, 2005.
-
(2005)
IEEE International Conference on Granular Computing
, vol.2
, pp. 718-721
-
-
Zhang, M.-L.1
Zhou, Z.-H.2
|