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Equality of opportunity in travel behavior prediction with deep neural
  networks and discrete choice models

Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models

25 September 2021
Yunhan Zheng
Shenhao Wang
Jinhuan Zhao
    HAI
ArXivPDFHTML

Papers citing "Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models"

12 / 12 papers shown
Title
A Large Language Model for Feasible and Diverse Population Synthesis
A Large Language Model for Feasible and Diverse Population Synthesis
Sung Yoo Lim
Hyunsoo Yun
P. Bansal
Dong-Kyu Kim
Eui-Jin Kim
SyDa
46
0
0
07 May 2025
Deep neural networks for choice analysis: Enhancing behavioral
  regularity with gradient regularization
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularization
Siqi Feng
Rui Yao
Stephane Hess
Ricardo A. Daziano
Timothy Brathwaite
Joan Walker
Shenhao Wang
25
1
0
23 Apr 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
Xiaotong Guo
Hanyong Xu
Dingyi Zhuang
Yunhan Zheng
Jinhua Zhao
26
5
0
29 Dec 2023
Fairness-enhancing deep learning for ride-hailing demand prediction
Fairness-enhancing deep learning for ride-hailing demand prediction
Yunhan Zheng
Qingyi Wang
Dingyi Zhuang
Shenhao Wang
Jinhua Zhao
41
12
0
10 Mar 2023
Deep hybrid model with satellite imagery: how to combine demand modeling
  and computer vision for behavior analysis?
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
Qingyi Wang
Shenhao Wang
Yunhan Zheng
Hongzhou Lin
Xiaohu Zhang
Jinhua Zhao
Joan Walker
13
9
0
07 Mar 2023
Travel Demand Forecasting: A Fair AI Approach
Travel Demand Forecasting: A Fair AI Approach
Xiaojian Zhang
Qian Ke
Xilei Zhao
AI4TS
23
2
0
03 Mar 2023
Uncertainty Quantification of Sparse Travel Demand Prediction with
  Spatial-Temporal Graph Neural Networks
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
Dingyi Zhuang
Shenhao Wang
Haris N. Koutsopoulos
Jinhua Zhao
21
33
0
11 Aug 2022
A Deep Generative Model for Feasible and Diverse Population Synthesis
A Deep Generative Model for Feasible and Diverse Population Synthesis
Eui-Jin Kim
P. Bansal
17
15
0
01 Aug 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
0
17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
1