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LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

, , , , , , , и . DASFAA (3), том 12683 из Lecture Notes in Computer Science, стр. 617-621. Springer, (2021)

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Philip Iosifidis

Vasileios Mavromatis

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Vasileios Giotsas

 

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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 and Knowledge Discovery, (февраля 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)FABBOO - Online Fairness-Aware Learning Under Class Imbalance., и . DS, том 12323 из Lecture Notes in Computer Science, стр. 159-174. Springer, (2020)Simple-ML: Towards a Framework for Semantic Data Analytics Workflows., , , , , и . SEMANTiCS, том 11702 из Lecture Notes in Computer Science, стр. 359-366. Springer, (2019)A Data-driven Human Responsibility Management System., , , , , , , , и . IEEE BigData, стр. 5834-5838. IEEE, (2020)Über Diskriminierung durch Künstliche Intelligenz.. Ausgezeichnete Informatikdissertationen, том D-21 из LNI, GI, (2020)Semi-supervised learning and fairness-aware learning under class imbalance.. University of Hanover, Hannover, Germany, (2020)