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Bias in data-driven artificial intelligence systems—An introductory survey, , , , , , , , , и 13 other автор(ы). WIREs Data Mining and Knowledge Discovery, (февраля 2020)FairNN - Conjoint Learning of Fair Representations for Fair Decisions., , , , , , и . Discovery Science, том 12323 из Lecture Notes in Computer Science, Springer International Publishing, (2020)Bias in data-driven artificial intelligence systems - An introductory survey., , , , , , , , , и 13 other автор(ы). WIREs Data Mining Knowl. Discov., (2020)Fairness-Enhancing Interventions in Stream Classification., , и . DEXA (1), том 11706 из Lecture Notes in Computer Science, стр. 261-276. Springer, (2019)LSTM Based Sentiment Analysis for Cryptocurrency Prediction., , , , , , , и . DASFAA (3), том 12683 из Lecture Notes in Computer Science, стр. 617-621. Springer, (2021)FAE: A Fairness-Aware Ensemble Framework., , и . CoRR, (2020)AdaCC: cumulative cost-sensitive boosting for imbalanced classification, , , и . Knowledge and Information Systems, (октября 2022)FairNN - Conjoint Learning of Fair Representations for Fair Decisions, , , , , , и . 23rd International Conference on Discovery Science, (октября 2020)Code available: https://github.com/wtliao/FairNN.A survey on datasets for fairness‐aware machine learning, , , и . (01.10.2021)A survey on datasets for fairness-aware machine learning, , , , и . WIREs Data Mining and Knowledge Discovery, (марта 2022)