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Vision Paper: Causal Inference for Interpretable and Robust Machine
  Learning in Mobility Analysis

Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis

18 October 2022
Yanan Xin
Natasa Tagasovska
Fernando Perez-Cruz
Martin Raubal
ArXivPDFHTML

Papers citing "Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis"

5 / 5 papers shown
Title
From Data to Actions in Intelligent Transportation Systems: a
  Prescription of Functional Requirements for Model Actionability
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability
I. Laña
J. S. Medina
E. Vlahogianni
Javier Del Ser
71
51
0
06 Feb 2020
Causality-based Feature Selection: Methods and Evaluations
Causality-based Feature Selection: Methods and Evaluations
Kui Yu
Xianjie Guo
Lin Liu
Jiuyong Li
Hao Wang
Zhaolong Ling
Xindong Wu
CML
41
94
0
17 Nov 2019
Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
73
2,332
0
01 Nov 2017
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
343
9,418
0
28 May 2015
Causal inference using invariant prediction: identification and
  confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
93
961
0
06 Jan 2015
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