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Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data.

, , , and . Intell. Data Anal., 21 (5): 1061-1095 (2017)

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MMWA-ae: boosting knowledge from Multimodal Interface Design, Reuse and Usability Evaluation., , , and . SEKE, page 355-360. Knowledge Systems Institute Graduate School, (2010)A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification., , and . SAC, page 79-84. ACM, (2014)Unsupervised Instance Selection from Text Streams., , and . J. Inf. Data Manag., 5 (1): 114-123 (2014)Applying neural networks to determine vibration parameters in a turbine., , , , and . IJCNN, page 3371-3376. IEEE, (1999)On the use of fuzzy rules to text document classification., , and . HIS, page 19-24. IEEE, (2010)Evaluation of latent dirichlet allocation for document organization in different levels of semantic complexity., , and . SSCI, page 1-8. IEEE, (2017)Aspect-based Sentiment Analysis using Semi-supervised Learning in Bipartite Heterogeneous Networks., , , and . J. Inf. Data Manag., 7 (2): 141-154 (2016)A Heterogeneous Network-Based Positive and Unlabeled Learning Approach to Detect Fake News., , , , and . BRACIS (2), volume 13074 of Lecture Notes in Computer Science, page 3-18. Springer, (2021)An active learning approach to frequent itemset-based text clustering., , and . ICPR, page 3529-3532. IEEE Computer Society, (2012)Mining unstructured content for recommender systems: an ensemble approach., , , , , , , and . Inf. Retr. J., 19 (4): 378-415 (2016)