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Whose Reviews Are Most Valuable for Predicting Default Risk of Peer-to-peer Lending Platforms? Evidence from China., , , и . PACIS, стр. 95. (2020)Decoupled EPS Control Utilizing Magnetizing Current to Achieve Full Load Range ZVS for Dual Active Bridge Converters., , , , , и . IEEE Trans. Ind. Electron., 69 (5): 4801-4813 (2022)Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces., , , , , и . Medical Biol. Eng. Comput., 55 (10): 1809-1818 (2017)Optimized EPS Control to Achieve Full Load Range ZVS With Seamless Transition for Dual Active Bridge Converters., , , , , и . IEEE Trans. Ind. Electron., 68 (9): 8379-8390 (2021)The value of backers' word-of-mouth in crowdfunding projects filtering: an empirical investigation., , , , и . Electron. Commer. Res., 20 (4): 757-782 (2020)Verbal vs. Nonverbal Cues in Static and Dynamic Contexts of Fraud Detection in Crowdsourcing: A Comparative Study., , , и . J. Glob. Inf. Manag., 30 (1): 1-28 (2022)Not only Online Review but also its Helpfulness is Manipulated: Evidence from Peer to Peer Lending Forum., , , и . PACIS, стр. 186. (2019)The Impacts of Machines on the Prediction Accuracy of Human-machine Hybrid Information Market., и . WHICEB, стр. 33. Association for Information Systems, (2022)Robust Few-Shot Graph Anomaly Detection via Graph Coarsening., , , и . KSEM (1), том 14117 из Lecture Notes in Computer Science, стр. 414-429. Springer, (2023)Human-machine hybrid prediction market: A promising sales forecasting solution for E-commerce enterprises., , , и . Electron. Commer. Res. Appl., (2022)