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Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network.

, , , , and . COMPSAC, page 374-382. IEEE, (2022)

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Online Deep Ensemble Learning for Predicting Citywide Human Mobility., , , , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2 (3): 105:1-105:21 (2018)Enhancing example-based code search with functional semantics., , , , , , and . J. Syst. Softw., (2020)TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization., , , , and . ACM Trans. Knowl. Discov. Data, 18 (1): 3:1-3:25 (January 2024)Human Mobility-based Individual-level Epidemic Simulation Platform., , , , , , , and . ACM Trans. Spatial Algorithms Syst., 8 (3): 1-16 (September 2022)Social-DPF: Socially Acceptable Distribution Prediction of Futures., , , , , , and . AAAI, page 2550-2557. AAAI Press, (2021)Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network., , , , and . COMPSAC, page 374-382. IEEE, (2022)MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks., , , , , and . ECML/PKDD (6), volume 13718 of Lecture Notes in Computer Science, page 453-468. Springer, (2022)Outbound behavior analysis through social network data: A case study of Chinese people in Japan., , , , , , and . IEEE BigData, page 2778-2786. IEEE Computer Society, (2017)Data-Driven In-Crisis Community Identification for Disaster Response and Management., , , , , , , and . CIC, page 96-104. IEEE, (2021)Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting., , , , , , and . CoRR, (2023)