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Sentiment analysis on big sparse data streams with limited labels

, and . Knowledge and Information Systems, (2019)

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Bias in data-driven artificial intelligence systems—An introductory survey, , , , , , , , , and 13 other author(s). WIREs Data Mining and Knowledge Discovery, (February 2020)Bias in data-driven artificial intelligence systems - An introductory survey., , , , , , , , , and 13 other author(s). WIREs Data Mining Knowl. Discov., (2020)FairNN - Conjoint Learning of Fair Representations for Fair Decisions., , , , , , and . Discovery Science, volume 12323 of Lecture Notes in Computer Science, Springer International Publishing, (2020)Fairness-Enhancing Interventions in Stream Classification., , and . DEXA (1), volume 11706 of Lecture Notes in Computer Science, page 261-276. Springer, (2019)LSTM Based Sentiment Analysis for Cryptocurrency Prediction., , , , , , , and . DASFAA (3), volume 12683 of Lecture Notes in Computer Science, page 617-621. Springer, (2021)AdaCC: cumulative cost-sensitive boosting for imbalanced classification, , , and . Knowledge and Information Systems, (October 2022)FairNN - Conjoint Learning of Fair Representations for Fair Decisions, , , , , , and . 23rd International Conference on Discovery Science, (October 2020)Code available: https://github.com/wtliao/FairNN.A survey on datasets for fairness-aware machine learning., , , , and . WIREs Data Mining Knowl. Discov., (2022)AdaCC: cumulative cost-sensitive boosting for imbalanced classification., , , and . Knowl. Inf. Syst., 65 (2): 789-826 (February 2023)FAE: A Fairness-Aware Ensemble Framework., , and . IEEE BigData, page 1375-1380. IEEE, (2019)