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Interpretable bias mitigation for textual data: Reducing gender bias in
  patient notes while maintaining classification performance

Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance

10 March 2021
J. Minot
N. Cheney
Marc E. Maier
Danne C. Elbers
C. Danforth
P. Dodds
    FaML
ArXivPDFHTML

Papers citing "Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance"

4 / 4 papers shown
Title
Out of Order: How Important Is The Sequential Order of Words in a
  Sentence in Natural Language Understanding Tasks?
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks?
Thang M. Pham
Trung Bui
Long Mai
Anh Totti Nguyen
207
122
0
30 Dec 2020
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting
  Prolonged Mechanical Ventilation
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
Kexin Huang
Abhishek Singh
Sitong Chen
E. Moseley
Chih-ying Deng
Naomi George
C. Lindvall
59
57
0
27 Dec 2019
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
305
4,203
0
23 Aug 2019
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,253
0
16 Jan 2013
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