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A new system for Chinese sign language recognition., , и . ChinaSIP, стр. 534-538. IEEE, (2015)Study on PPP Time Comparison Based on BeiDou-3 New Signal., , , , , , , и . IEEE Instrum. Meas. Mag., 25 (5): 30-40 (2022)The CityLearn Challenge 2022: Overview, Results, and Lessons Learned., , , , , , , , , и 16 other автор(ы). NeurIPS (Competition and Demos), том 220 из Proceedings of Machine Learning Research, стр. 85-103. PMLR, (2021)Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting., , , , , , и . IEEE Trans. Knowl. Data Eng., 35 (7): 7118-7137 (июля 2023)A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty., , , , , , и . CIKM, стр. 4646-4652. ACM, (2023)An Enhanced Gated Graph Neural Network for E-commerce Recommendation., , , и . CIKM, стр. 4677-4681. ACM, (2022)Chinese sign language recognition with adaptive HMM., , , , и . ICME, стр. 1-6. IEEE Computer Society, (2016)Sign Language Recognition Based on Trajectory Modeling with HMMs., , , и . MMM (1), том 9516 из Lecture Notes in Computer Science, стр. 686-697. Springer, (2016)Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting., , , , , , и . AAAI, стр. 8420-8428. AAAI Press, (2021)Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning., , , , , и . CoRR, (2024)