K. Brinker, M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nurnberger et al., On active learning in multi-label classification From Data and Information Analysis to Knowledge Engineering, Studies in Classification, Data Analysis, and Knowledge Organization, pp.206-213, 2006.

A. Esuli and F. Sebastiani, Active Learning Strategies for Multi-Label Text Classification, Proceedings of the 31st European Conference on IR Research. pp. 102?113. ECIR '09, 2009.
DOI : 10.1145/1135777.1135870

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

C. W. Hung and H. T. Lin, Multi-label active learning with auxiliary learner, 3rd Asian Conference on Machine Learning, 2011.

S. Nowak, K. Nagel, and J. Liebetrau, The clef 2011 photo annotation and conceptbased retrieval tasks, In: CLEF, pp.1-25, 2011.

G. J. Qi, X. S. Hua, Y. Rui, J. Tang, and H. J. Zhang, Two-Dimensional Multilabel Active Learning with an Efficient Online Adaptation Model for Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, pp.1880-1897218, 2008.

B. Settles, Active learning literature survey, 2010.

M. Singh, A. Brew, D. Greene, and P. Cunningham, Score Normalization and Aggregation for Active Learning in Multi-label Classification, 2010.

G. Tsoumakas, E. Spyromitros-xioufis, J. Vilcek, and I. Vlahavas, Mulan: A java library for multi-label learning, Journal of Machine Learning Research, vol.12, pp.2411-2414, 2011.

G. Tsoumakas, M. L. Zhang, and Z. H. Zhou, Introduction to the special issue on learning from multi-label data, Machine Learning, vol.7, issue.4, pp.1-4, 2012.
DOI : 10.1109/TASL.2010.2064164

B. Yang, J. T. Sun, T. Wang, and Z. Chen, Effective multi-label active learning for text classification, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, pp.917-926, 2009.
DOI : 10.1145/1557019.1557119

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=