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Jittat Fakcharoenphol. Estimating group fairness using pairwise similarity. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Estimating group fairness using pairwise similarity
Name: Adisak Supeesun
Organization :
Kasetsart University Sriracha Campus. Faculty of Engineering at Sriracha
Email :
adisak@eng.src.ku.ac.th
Name: Jakarin Chawachat
Organization :
Chiang Mai University. Faculty of Science
Email :
jakarin.c@cmu.ac.th
Name: Vacharapat Mettanant
Organization :
Kasetsart University Sriracha Campus. Faculty of Engineering at Sriracha
Email :
vacharapat@eng.src.ku.ac.th
Name: Jittat Fakcharoenphol
Organization :
Kasetsart University. Faculty of Engineering
Email :
jittat@gmail.com
LCSH:
Fairness
-- Data processing
LCSH:
Machine learning
LCSH:
Statistics
Abstract:
Ensuring group fairness in machine learning models
requires measuring model fairness performance under various
metrics, typically defined u nder e xplicit g roup membership
information. In FAccT23, Liu, Do, Usunier, and Nickel proposed
a group-free fairness measurement based on homophily in
social networks. They derived the measurement based on generalized
entropy indices, typically used to measure inequality
in economics, using pairwise similarity estimation from social
connections. This measurement has one major drawback, i.e.,
the unfairness quantity is group-weighted. While this gives a
number that represents the overall picture, it might not give
enough protection for minority groups. We generalize their
approach based on pairwise similarity and define r elaxed group
fairness measurements based on many standard group fairness
metrics. We provide theoretical justifications b y p roving that
these measurements are indeed relaxations of standard ones, and
demonstrate the practicality of our approach with experiments.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2025-05-27
Issued:
2025-05-27
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Thailand Section (IEEE Computer Society Thailand Chapter) and Prince of Songkla University. College of Computing. The 21st International Joint Conference on Computer Science and Software Engineering (JCSSE 2024)) (pp.343-350). Phuket : Prince of Songkla University
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.021147 วินาที
Adisak Supeesun
| Title | Contributor | Type |
|---|---|---|
| Applying the ABC approach for edge detection in unshelled banana prawn images
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Adisak Supeesun;Kanjana Eiamsaard;Anan Banharnsakun | บทความ/Article | |
| Estimating group fairness using pairwise similarity
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Adisak Supeesun;Jakarin Chawachat;Vacharapat Mettanant;Jittat Fakcharoenphol | บทความ/Article |
Jakarin Chawachat
| Title | Contributor | Type |
|---|---|---|
| Estimating group fairness using pairwise similarity
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Adisak Supeesun;Jakarin Chawachat;Vacharapat Mettanant;Jittat Fakcharoenphol | บทความ/Article |
Vacharapat Mettanant
| Title | Contributor | Type |
|---|---|---|
| Estimating group fairness using pairwise similarity
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Adisak Supeesun;Jakarin Chawachat;Vacharapat Mettanant;Jittat Fakcharoenphol | บทความ/Article |
Jittat Fakcharoenphol
| Title | Contributor | Type |
|---|---|---|
| Building two communication towers over a terrain
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Chawin Aiemvaravutigul;Jittat Fakcharoenphol;Nattawut Phetmak | บทความ/Article | |
| Estimating group fairness using pairwise similarity
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Adisak Supeesun;Jakarin Chawachat;Vacharapat Mettanant;Jittat Fakcharoenphol | บทความ/Article |