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    A Bayesian clustering ensemble Gaussian process model for network-wide traffic flow clustering and prediction

    Zhu, Zheng / Xu, Meng / Ke, Jintao et al. | Elsevier | 2023
    Keywords: Statistical learning

    Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network

    Ke, Jintao / Qin, Xiaoran / Yang, Hai et al. | Elsevier | 2020
    Keywords: Deep learning model

    PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

    Ke, Jintao / Zhang, Shuaichao / Yang, Hai et al. | Taylor & Francis Verlag | 2019
    Keywords: cost-sensitive learning

    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Keywords: Deep learning (DL)