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Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets.

, , , and . FedCSIS, volume 2 of Annals of Computer Science and Information Systems, page 387-394. (2014)

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Evaluation of Different Data-Derived Label Hierarchies in Multi-label Classification., , , and . NFMCP, volume 8983 of Lecture Notes in Computer Science, page 19-37. Springer, (2014)Regression Trees from Data Streams with Drift Detection., , , and . Discovery Science, volume 5808 of Lecture Notes in Computer Science, page 121-135. Springer, (2009)An extensive experimental comparison of methods for multi-label learning., , , and . Pattern Recognit., 45 (9): 3084-3104 (2012)Static analysis of source code written by novice programmers., and . EDUCON, page 825-830. IEEE, (2017)Sarcasm and Irony Detection in English Tweets., , , and . ICT Innovations, volume 940 of Communications in Computer and Information Science, page 120-131. Springer, (2018)Efficient Two Stage Voting Architecture for Pairwise Multi-label Classification., , and . Australasian Conference on Artificial Intelligence, volume 6464 of Lecture Notes in Computer Science, page 164-173. Springer, (2010)Robust histogram-based feature engineering of time series data., , , , and . FedCSIS, volume 5 of Annals of Computer Science and Information Systems, page 381-388. IEEE, (2015)Addressing Item-Cold Start Problem in Recommendation Systems Using Model Based Approach and Deep Learning., , , and . ICT Innovations, volume 778 of Communications in Computer and Information Science, page 176-185. Springer, (2017)Evaluation of Distance Measures for Multi-class Classification in Binary SVM Decision Tree., and . ICAISC (1), volume 6113 of Lecture Notes in Computer Science, page 437-444. Springer, (2010)Two Stage Classifier Chain Architecture for efficient pair-wise multi-label learning., and . MLSP, page 1-6. IEEE, (2011)