37 citations · 64 across the 6 of their papers we have counts for
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stat.ML2021★ 2 cited
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
Ioanna Arkoudi, Carlos Lima Azevedo, Francisco C. Pereira
This study proposes a novel approach that combines theory and data-driven choice models using Artificial Neural Networks (ANNs). In particular, we use continuous vector representat…
cs.LG2021
Modeling Censored Mobility Demand through Quantile Regression Neural Networks
Frederik Boe Hüttel, Inon Peled, Filipe Rodrigues +1
Shared mobility services require accurate demand models for effective service planning. On the one hand, modeling the full probability distribution of demand is advantageous becaus…