most citedComparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark

31 citations · 47 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024★ 16 cited

Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization

Siqi Feng, Rui Yao, Stephane Hess +4

Deep neural networks (DNNs) frequently present behaviorally irregular patterns, significantly limiting their practical potentials and theoretical validity in travel behavior modeli…

cs.LG2021★ 31 cited

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark

Shenhao Wang, Baichuan Mo, Yunhan Zheng +2

Numerous studies have compared machine learning (ML) and discrete choice models (DCMs) in predicting travel demand. However, these studies often lack generalizability as they compa…