140 citations · 328 across the 38 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 1 cited
Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions
Shenhao Wang, Baichuan Mo, Jinhua Zhao
Whereas deep neural network (DNN) is increasingly applied to choice analysis, it is challenging to reconcile domain-specific behavioral knowledge with generic-purpose DNN, to impro…
econ.GN2019
Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data
Shenhao Wang, Qingyi Wang, Jinhua Zhao
It is an enduring question how to combine revealed preference (RP) and stated preference (SP) data to analyze travel behavior. This study presents a framework of multitask learning…