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Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal
  Clinical NLP

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP

19 November 2020
John Chen
Ian Berlot-Attwell
Safwan Hossain
Xindi Wang
Frank Rudzicz
    FaML
ArXivPDFHTML

Papers citing "Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP"

3 / 3 papers shown
Title
The Road to Explainability is Paved with Bias: Measuring the Fairness of
  Explanations
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations
Aparna Balagopalan
Haoran Zhang
Kimia Hamidieh
Thomas Hartvigsen
Frank Rudzicz
Marzyeh Ghassemi
38
78
0
06 May 2022
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
Silvio Amir
Jan-Willem van de Meent
Byron C. Wallace
19
14
0
13 Apr 2021
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,368
0
25 Aug 2014
1