"MTL-LSTM: Multi-Task Learning-based LSTM for Urban Traffic Flow Forecasting."

Mostafa Karimzadeh et al. (2021)

> Home

Details and statistics

DOI: 10.1109/IWCMC51323.2021.9498905

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iwcmc/KarimzadehSZBS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iwcmc/KarimzadehSZBS21
Mostafa Karimzadeh, Samuel Martin Schwegler, Zhongliang Zhao, Torsten Braun, Susana Sargento:
MTL-LSTM: Multi-Task Learning-based LSTM for Urban Traffic Flow Forecasting. IWCMC 2021: 564-569

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.