Beyond Accuracy: A Critical Review of Fairness in Machine Learning for
Mobile and Wearable Computing

Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing

27 March 2023

Sofia Yfantidou

Marios Constantinides

Dimitris Spathis

Daniele Quercia

Papers citing "Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing"

15 / 15 papers shown

Title
Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks Arafat Rahman Sol Lim Seokhyun Chung FaML 44 0 0 08 Apr 2025
Using Self-supervised Learning Can Improve Model Fairness Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 46 4 0 04 Jun 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 22 2 0 30 Apr 2024
Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing Han Zhang V. D. Swain Leijie Wang Nan Gao Yilun Sheng Xuhai Xu Flora D. Salim Koustuv Saha A. Dey Jennifer Mankoff 20 0 0 23 Apr 2024
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data Sofia Yfantidou Dimitris Spathis Marios Constantinides Athena Vakali Daniele Quercia F. Kawsar 44 2 0 03 Jan 2024
FairComp: Workshop on Fairness and Robustness in Machine Learning for Ubiquitous Computing Sofia Yfantidou Dimitris Spathis Marios Constantinides Tong Xia N. V. Berkel FaML 21 2 0 22 Sep 2023
A Framework for Designing Fair Ubiquitous Computing Systems Han Zhang Leijie Wang Yilun Sheng Xuhai Xu Jennifer Mankoff A. Dey 27 9 0 17 Aug 2023
The State of Algorithmic Fairness in Mobile Human-Computer Interaction Sofia Yfantidou Marios Constantinides Dimitris Spathis Athena Vakali Daniele Quercia F. Kawsar FaML 11 3 0 22 Jul 2023
Uncovering Bias in Personal Informatics Sofia Yfantidou Pavlos Sermpezis Athena Vakali R. Baeza-Yates 11 6 0 27 Mar 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 32 7 0 10 Feb 2023
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems Mostafa M. Mohamed Björn W. Schuller 11 5 0 02 Feb 2022
Bias in Automated Speaker Recognition Wiebke Toussaint Aaron Yi Ding CVBM 22 44 0 24 Jan 2022
Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing L. Meegahapola F. Labhart Thanh-Trung Phan D. Gática-Pérez 18 23 0 13 Jul 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 168 267 0 26 Feb 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019