Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction - researchr publication authors

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Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo. Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction. In Elias Pimenidis, Plamen P. Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin 0001, editors, Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III. Volume 13531 of Lecture Notes in Computer Science, pages 763-775, Springer, 2022. [doi]

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