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Does the review deserve more helpfulness when its title resembles the content? Locating helpful reviews by text mining., , , , , и . Inf. Process. Manag., 57 (2): 102179 (2020)MLMSA: Multi-Label Multi-Side-Channel-Information enabled Deep Learning Attacks on APUF Variants., , , , , , и . CoRR, (2022)Imbalanced credit risk evaluation based on multiple sampling, multiple kernel fuzzy self-organizing map and local accuracy ensemble., , , и . Appl. Soft Comput., (2020)A hybrid model with novel feature selection method and enhanced voting method for credit scoring., , , , , и . J. Intell. Fuzzy Syst., 42 (3): 2565-2579 (2022)A novel federated learning approach with knowledge transfer for credit scoring., , , и . Decis. Support Syst., (февраля 2024)Systematically Evaluation of Challenge Obfuscated APUFs., , , , , , и . CoRR, (2022)Design and Evaluate Recomposited OR-AND-XOR-PUF., , , , , , и . IEEE Trans. Emerg. Top. Comput., 10 (2): 662-677 (2022)Design and Evaluate Recomposited OR-AND-XOR-PUF., , , , , и . CoRR, (2021)Understanding online review helpfulness in omnichannel retailing., , , , и . Ind. Manag. Data Syst., 119 (8): 1565-1580 (2019)MLMSA: Multilabel Multiside-Channel-Information Enabled Deep Learning Attacks on APUF Variants., , , , , , и . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (9): 2863-2876 (сентября 2023)