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피인용 상위 논문
A review on multi-label learning algorithms.
Zhang, M.-L., Zhou, Z.-H.
(2014) IEEE Transactions on Knowledge and Data Engineering, 26 (8), pp. 1819-1837.
Robust structured subspace learning for data representation.
Li, Z., Liu, J., Tang, J. and 1 more (2015) IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (10), pp. 2085-2098.
Lift: Multi-label learning with label-specific features.
Zhang, M.-L., Wu, L.
(2015) IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (1), pp. 107-120.
A tutorial on multilabel learning.
Gibaja, E., Ventura, S.
(2015) ACM Computing Surveys, 47 (3).
Sparse local embeddings for extreme multi-label classification.
Bhatia, K., Jain, H., Kar, P. and 2 more (2015) Advances in Neural Information Processing Systems, 2015-, pp. 730-738.