Source: Proceedings. Conference titles: IEEE European Technology and Engineering Management Summit - E-TEMS. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, ANÁLISE DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS
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LJUBENKOV, Davor e KON, Fábio e RATTI, Carlo. Optimizing bike sharing system flows using graph mining, convolutional and recurrent neural networks. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/E-TEMS46250.2020.9111707. Acesso em: 06 out. 2024.APA
Ljubenkov, D., Kon, F., & Ratti, C. (2020). Optimizing bike sharing system flows using graph mining, convolutional and recurrent neural networks. In Proceedings. Piscataway: IEEE. doi:10.1109/E-TEMS46250.2020.9111707NLM
Ljubenkov D, Kon F, Ratti C. Optimizing bike sharing system flows using graph mining, convolutional and recurrent neural networks [Internet]. Proceedings. 2020 ;[citado 2024 out. 06 ] Available from: https://doi.org/10.1109/E-TEMS46250.2020.9111707Vancouver
Ljubenkov D, Kon F, Ratti C. Optimizing bike sharing system flows using graph mining, convolutional and recurrent neural networks [Internet]. Proceedings. 2020 ;[citado 2024 out. 06 ] Available from: https://doi.org/10.1109/E-TEMS46250.2020.9111707