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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)Transductive Event Classification through Heterogeneous Networks., , and . WebMedia, page 285-292. ACM, (2017)Identification of Brazilian Portuguese Causative Verbs through a Weighted Graph Classification Strategy., , and . PROPOR, volume 8775 of Lecture Notes in Computer Science, page 274-279. Springer, (2014)Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts., , and . Inf. Process. Manag., 52 (2): 217-257 (2016)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)Towards Automatic Evaluation of Asphalt Irregularity Using Smartphone's Sensors., , , and . IDA, volume 10584 of Lecture Notes in Computer Science, page 322-333. Springer, (2017)Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data., , , and . Intell. Data Anal., 21 (5): 1061-1095 (2017)Inductive Model Generation for Text Classification Using a Bipartite Heterogeneous Network., , , and . J. Comput. Sci. Technol., 29 (3): 361-375 (2014)