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Microscope: mobile service traffic decomposition for network slicing as a service., , , и . MobiCom, стр. 38:1-38:14. ACM, (2020)A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks, , , , и . IEEE Commun. Mag., 58 (6): 20--25 (2020)AdnFM: An Attentive DenseNet based Factorization Machine for Click-Through-Rate Prediction., , , и . ICCDE, стр. 1-7. ACM, (2022)QuickSkill: Novice Skill Estimation in Online Multiplayer Games., , , , , , и . CIKM, стр. 3644-3653. ACM, (2022)CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting., , , и . AAAI, стр. 10851-10858. AAAI Press, (2021)Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection., , , , , , , , и . CoRR, (2024)Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction., , , и . GLOBECOM, стр. 1-6. IEEE, (2021)Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls., , , , и . MLN, том 11407 из Lecture Notes in Computer Science, стр. 146-165. Springer, (2018)Field-aware Variational Autoencoders for Billion-scale User Representation Learning., , , , , , , и . ICDE, стр. 3413-3425. IEEE, (2022)QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction., , , , , , и . ACL (1), стр. 5014-5035. Association for Computational Linguistics, (2024)