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Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.

, , , , , , и . IEEE Trans. Knowl. Data Eng., 28 (8): 1986-1999 (2016)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

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A Survey on Truth Discovery., , , , , , , и . SIGKDD Explor., 17 (2): 1-16 (2015)TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data., , , , и . KDD, стр. 2729-2737. ACM, (2018)Deep Skip-Gram Networks for Text Classification., , , и . SDM, стр. 145-153. SIAM, (2019)A Survey on Causal Inference., , , , , и . ACM Trans. Knowl. Discov. Data, 15 (5): 74:1-74:46 (2021)Uncorrelated Patient Similarity Learning., , , , , и . SDM, стр. 270-278. SIAM, (2018)Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge., , , , , и . ACM Trans. Inf. Syst., 40 (1): 2:1-2:33 (2022)Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling., , , , и . ACM Trans. Inf. Syst., 40 (4): 87:1-87:28 (2022)VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition., , , , , , , , , и 1 other автор(ы). Proc. VLDB Endow., 14 (11): 2167-2176 (2021)FederatedScope: A Flexible Federated Learning Platform for Heterogeneity., , , , , , , , и . Proc. VLDB Endow., 16 (5): 1059-1072 (2023)FS-Real: A Real-World Cross-Device Federated Learning Platform., , , , , , , и . Proc. VLDB Endow., 16 (12): 4046-4049 (2023)