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Bias Reducing Multitask Learning on Mental Health Prediction
Affective Computing and Intelligent Interaction (ACII), 2022
7 August 2022
Khadija Zanna
K. Sridhar
Han Yu
Akane Sano
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Papers citing
"Bias Reducing Multitask Learning on Mental Health Prediction"
10 / 10 papers shown
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection
Jiaee Cheong
Aditya Bangar
Sinan Kalkan
Hatice Gunes
352
13
0
17 Jan 2025
Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China
Joseph Cameron
Jiaee Cheong
Micol Spitale
Hatice Gunes
388
7
0
07 Aug 2024
Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges
Emilio Ferrara
LM&MA
357
67
0
09 Jul 2024
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
Micol Spitale
Jiaee Cheong
Hatice Gunes
375
7
0
12 Jun 2024
Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coaching
IEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2024
Jiaee Cheong
Micol Spitale
Hatice Gunes
296
14
0
15 May 2024
Enhancing Fairness and Performance in Machine Learning Models: A Multi-Task Learning Approach with Monte-Carlo Dropout and Pareto Optimality
Khadija Zanna
Akane Sano
FaML
231
5
0
12 Apr 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models
Zeyu Yang
Peikun Guo
Khadija Zanna
Akane Sano
Xiaoxue Yang
Akane Sano
DiffM
515
12
0
12 Apr 2024
A survey of recent methods for addressing AI fairness and bias in biomedicine
Yifan Yang
Mingquan Lin
Han Zhao
Yifan Peng
Furong Huang
Zhiyong Lu
364
61
0
13 Feb 2024
Uncertainty-based Fairness Measures
Selim Kuzucu
Jiaee Cheong
Hatice Gunes
Sinan Kalkan
UD
PER
340
1
0
18 Dec 2023
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review
Ivo Pascal de Jong
A. Sburlea
Matias Valdenegro-Toro
437
5
0
15 Nov 2023
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