RiskContra: A Contrastive Approach to Forecast Traffic Risks with Multi-Kernel Networks

Author:

Chen Changlu,Liu Yanbin,Chen Ling,Zhang Chengqi

Publisher

Springer Nature Switzerland

Reference25 articles.

1. Chen, C., Fan, X., Zheng, C., Xiao, L., Cheng, M., Wang, C.: Sdcae: stack denoising convolutional autoencoder model for accident risk prediction via traffic big data. In: CBD (2018)

2. Chen, T., Guestrin, C.: Xgboost: a scalable tree boosting system. In: SIGKDD (2016)

3. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: ICML (2020)

4. Chen, X., He, K.: Exploring simple siamese representation learning. In: CVPR (2021)

5. Chung, J., Gulcehre, C., Cho, K., Bengio, Y.: Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)

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