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One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning., , , , , , и . CoRR, (2023)An experimental analysis of limitations of MapReduce for iterative algorithms on Spark., и . Clust. Comput., 20 (4): 3593-3604 (2017)MoveMine: Mining moving object data for discovery of animal movement patterns., , , , , , , и . ACM Trans. Intell. Syst. Technol., 2 (4): 37:1-37:32 (2011)User acceptance on content optimization algorithms: predicting filter bubbles in conversational AI services., , и . Univers. Access Inf. Soc., 22 (4): 1325-1338 (ноября 2023)Hello There! Is Now a Good Time to Talk?: Opportune Moments for Proactive Interactions with Smart Speakers., , , , , , , и . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 4 (3): 74:1-74:28 (2020)Meta-Learning for Online Update of Recommender Systems., , , , , и . AAAI, стр. 4065-4074. AAAI Press, (2022)COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies., , , , , , и . AAAI, стр. 11971-11981. AAAI Press, (2022)SocialKeyboard: Proofreading Everyday Writings in Mobile Phones., , , и . CHI Extended Abstracts, стр. 1591-1596. ACM, (2015)Quality-Based Automatic Classification for Presentation Slides., , , , и . ECIR, том 8416 из Lecture Notes in Computer Science, стр. 638-643. Springer, (2014)Temporal Convolutional Network-Based Time-Series Segmentation., и . BigComp, стр. 269-276. IEEE, (2023)