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Insights into Fairness through Trust: Multi-scale Trust Quantification
  for Financial Deep Learning

Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning

3 November 2020
A. Wong
Andrew Hryniowski
Xiao Yu Wang
ArXiv (abs)PDFHTML

Papers citing "Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning"

3 / 3 papers shown
Title
Mitigating covariate shift in non-colocated data with learned parameter
  priors
Mitigating covariate shift in non-colocated data with learned parameter priors
Behraj Khan
Behroz Mirza
Nouman Durrani
T. Syed
42
0
0
10 Nov 2024
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in
  Electronics Manufacturing Using Explainable Artificial Intelligence
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence
Hayden Gunraj
P. Guerrier
Sheldon Fernandez
Alexander Wong
54
9
0
18 Nov 2022
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for
  COVID-19 Patients via Explainability and Trust Quantification
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification
A. Chung
M. Famouri
Andrew Hryniowski
Alexander Wong
24
5
0
14 Sep 2021
1