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Neural Networks for Choice Analysis at DTU

Ricardo Daziano May 4, 2025May 4, 2025 Uncategorized No Comments

This talk explored the integration of machine learning with econometric principles, focusing on behavioral regularization in travel demand modeling. Two case studies will illustrate the need for combining behavioral regularization with advanced machine learning techniques to ensure that models are

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News

  • Cornell tests AI in Chattanooga mobility trial
  • Neural Networks for Choice Analysis at DTU
  • Cornell to help revamp Chattanooga public transit with AI power
  • 2025 Interdisciplinary Transportation Decarbonization Fellowship Program in Economics, Engineering, and Policy
  • 2023 Interdisciplinary Transportation Decarbonization Fellowship Program in Economics, Engineering, and Policy

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