Cover Image

Gender Fairness of Machine Learning Algorithms for Pain Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Green, Dylan, Shang, Yuting, Cheong, Jiaee, Liu, Yang, Gunes, Hatice
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning Fairness for Depression Detection using EEG Data
by: Kwok, Angus Man Ho, et al.
Published: (2025)

FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)
by: Cheong, Jiaee, et al.
Published: (2025)

GraphAU-Pain: Graph-based Action Unit Representation for Pain Intensity Estimation
by: Wang, Zhiyu, et al.
Published: (2025)

Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
by: Kolahdouzi, Mojtaba, et al.
Published: (2025)

Uncertainty-based Fairness Measures
by: Kuzucu, Selim, et al.
Published: (2023)

U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection
by: Cheong, Jiaee, et al.
Published: (2025)

Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China
by: Cameron, Joseph, et al.
Published: (2024)

Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
by: Spitale, Micol, et al.
Published: (2024)

FAIRWELL: Fair Multimodal Self-Supervised Learning for Wellbeing Prediction
by: Cheong, Jiaee, et al.
Published: (2025)

On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms
by: Mittal, Surbhi, et al.
Published: (2023)

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
by: Zhao, Zengqun, et al.
Published: (2025)

Fair and Interpretable Deepfake Detection in Videos
by: Yoshii, Akihito, et al.
Published: (2025)

Augmentations vs Algorithms: What Works in Self-Supervised Learning
by: Morningstar, Warren, et al.
Published: (2024)

A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
by: Özbulak, Gökhan, et al.
Published: (2025)

Lifelong Learning of Video Diffusion Models From a Single Video Stream
by: Yoo, Jason, et al.
Published: (2024)

EHCTNet: Enhanced Hybrid of CNN and Transformer Network for Remote Sensing Image Change Detection
by: Yang, Junjie, et al.
Published: (2025)

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
by: Chiang, Sophie, et al.
Published: (2026)

On the Role of Calibration in Benchmarking Algorithmic Fairness for Skin Cancer Detection
by: Dominique, Brandon, et al.
Published: (2025)

Leveraging Text Guidance for Enhancing Demographic Fairness in Gender Classification
by: Krishnan, Anoop
Published: (2025)

Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network
by: Wang, Zhen, et al.
Published: (2024)

Honey Adulteration Detection using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud
by: Zhao, Hong, et al.
Published: (2024)

Integrating Saliency Ranking and Reinforcement Learning for Enhanced Object Detection
by: Bartolo, Matthias, et al.
Published: (2024)

Exploring Causality for HRI: A Case Study on Robotic Mental Well-being Coaching
by: Spitale, Micol, et al.
Published: (2025)

Preserving Fairness Generalization in Deepfake Detection
by: Lin, Li, et al.
Published: (2024)

Baitradar: A Multi-Model Clickbait Detection Algorithm Using Deep Learning
by: Gamage, Bhanuka, et al.
Published: (2025)

Explanatory Interactive Machine Learning for Bias Mitigation in Visual Gender Classification
by: Satriani, Nathanya, et al.
Published: (2026)

Continuity-Preserving Convolutional Autoencoders for Learning Continuous Latent Dynamical Models from Images
by: Zhu, Aiqing, et al.
Published: (2025)

FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)

Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment
by: Lin, Xin Lei, et al.
Published: (2025)

Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
by: Qi, Qi, et al.
Published: (2024)

Learning Using Privileged Information for Litter Detection
by: Bartolo, Matthias, et al.
Published: (2025)

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
by: Yi, Chenlang, et al.
Published: (2025)

Fair Domain Generalization: An Information-Theoretic View
by: Lian, Tangzheng, et al.
Published: (2025)

Fair Deepfake Detectors Can Generalize
by: Cheng, Harry, et al.
Published: (2025)

Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
by: Xu, Ying, et al.
Published: (2022)

Correlation of Object Detection Performance with Visual Saliency and Depth Estimation
by: Bartolo, Matthias, et al.
Published: (2024)

A Data-Driven RetinaNet Model for Small Object Detection in Aerial Images
by: Tang, Zhicheng, et al.
Published: (2025)

Verbalized Machine Learning: Revisiting Machine Learning with Language Models
by: Xiao, Tim Z., et al.
Published: (2024)

A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data
by: Rafi, Nurul, et al.
Published: (2024)