Multitask Learning Deep Neural Networks to Combine Revealed and Stated
Preference Data

v1v2 (latest)

Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data

2 January 2019

Shenhao Wang

ArXiv (abs)PDF HTML

Papers citing "Multitask Learning Deep Neural Networks to Combine Revealed and Stated Preference Data"

5 / 5 papers shown

Title
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark Shenhao Wang Baichuan Mo Stephane Hess Jinhuan Zhao Jinhua Zhao 119 26 0 01 Feb 2021
Gaussian Process Latent Class Choice Models G. Sfeir Filipe Rodrigues Maya Abou-Zeid GP 57 12 0 28 Jan 2021
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks Shenhao Wang Baichuan Mo Jinhuan Zhao AI4CE 50 36 0 22 Oct 2020
Semi-nonparametric Latent Class Choice Model with a Flexible Class Membership Component: A Mixture Model Approach G. Sfeir Maya Abou-Zeid Filipe Rodrigues Francisco Câmara Pereira I. Kaysi 34 16 0 06 Jul 2020
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability Yafei Han F. Pereira M. Ben-Akiva C. Zegras 84 47 0 03 Feb 2020