1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
A deep causal inference model for fully-interpretable travel behaviour analysis
Kimia Kamal, Bilal Farooq
Transport policy assessment often involves causal questions, yet the causal inference capabilities of traditional travel behavioural models are at best limited. We present the deep…
cs.LG2022★ 1 cited
Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices
Kimia Kamal, Bilal Farooq
This study presents an Ordinal version of Residual Logit (Ordinal-ResLogit) model to investigate the ordinal responses. We integrate the standard ResLogit model into COnsistent RAn…