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Multimodal Representation Learning for Recommendation in Internet of Things., , , , and . IEEE Internet Things J., 6 (6): 10675-10685 (2019)The Dynamically Efficient Mechanism of HDFS Data Prefetching., , , , , and . GreenCom/iThings/CPScom, page 2188-2193. IEEE, (2013)Optimizing Weighted Extreme Learning Machines for imbalanced classification and application to credit card fraud detection., , , , , and . Neurocomputing, (2020)A Spatial-temporal Gated Network for Credit Card Fraud Detection., , , , , and . ICNSC, page 1-6. IEEE, (2023)Multiple User Characteristic Models for Online Survey Based on FP-Tree Algorithm., , , and . UIC/ATC/ScalCom, page 1786-1791. IEEE Computer Society, (2015)NUS: Noisy-Sample-Removed Undersampling Scheme for Imbalanced Classification and Application to Credit Card Fraud Detection., , , , , and . IEEE Trans. Comput. Soc. Syst., 11 (2): 1793-1804 (April 2024)The Sample Selection Model Based on Improved Autoencoder for the Online Questionnaire Investigation., , and . ICONIP (1), volume 10634 of Lecture Notes in Computer Science, page 175-184. Springer, (2017)A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection., , , and . IEEE CAA J. Autom. Sinica, 11 (2): 377-390 (February 2024)Research On Pre-Training Method and Generalization Ability of Big Data Recognition Model of the Internet of Things., , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 20 (5): 72:1-72:15 (2021)An Efficient Group Recommendation Model With Multiattention-Based Neural Networks., , , and . IEEE Trans. Neural Networks Learn. Syst., 31 (11): 4461-4474 (2020)