Cover Image

Examining Imbalance Effects on Performance and Demographic Fairness of Clinical Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jones, Precious, Liu, Weisi, Huang, I-Chan, Huang, Xiaolei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time Matters: Examine Temporal Effects on Biomedical Language Models
by: Liu, Weisi, et al.
Published: (2024)

Toward Fair Federated Learning under Demographic Disparities and Data Imbalance
by: Wu, Qiming, et al.
Published: (2025)

On Demographic Group Fairness Guarantees in Deep Learning
by: Luo, Yan, et al.
Published: (2024)

Fairness without Demographics through Learning Graph of Gradients
by: Luo, Yingtao, et al.
Published: (2024)

Demographic-Agnostic Fairness without Harm
by: Cai, Zhongteng, et al.
Published: (2025)

Fair Anomaly Detection For Imbalanced Groups
by: Wu, Ziwei, et al.
Published: (2024)

Context-Aware Deep Learning for Multi Modal Depression Detection
by: Lam, Genevieve, et al.
Published: (2024)

Steps Adaptive Decay DPSGD: Enhancing Performance on Imbalanced Datasets with Differential Privacy with HAM10000
by: Huang, Xiaobo, et al.
Published: (2025)

Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts
by: Liu, Weisi, et al.
Published: (2025)

Migrate Demographic Group For Fair GNNs
by: Hu, YanMing, et al.
Published: (2023)

Fairness Under Demographic Scarce Regime
by: Kenfack, Patrik Joslin, et al.
Published: (2023)

Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
by: Yalcin, Ata, et al.
Published: (2025)

Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression
by: Stocksieker, Samuel, et al.
Published: (2025)

Tipping the Balance: Impact of Class Imbalance Correction on the Performance of Clinical Risk Prediction Models
by: Andersen, Amalie Koch, et al.
Published: (2026)

Fairness Risks for Group-conditionally Missing Demographics
by: Jiang, Kaiqi, et al.
Published: (2024)

Counterfactual Fairness Is Not Demographic Parity, and Other Observations
by: Silva, Ricardo
Published: (2024)

Optimisation Strategies for Ensuring Fairness in Machine Learning: With and Without Demographics
by: Zhou, Quan
Published: (2024)

Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification
by: Cohen, Eyal, et al.
Published: (2025)

Achieving Fairness Without Harm via Selective Demographic Experts
by: Tan, Xuwei, et al.
Published: (2025)

Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)

Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data
by: Zou, Mengbang, et al.
Published: (2024)

Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
by: Wang, Xuanqian, et al.
Published: (2024)

Hidden or Inferred: Fair Learning-To-Rank with Unknown Demographics
by: Olulana, Oluseun, et al.
Published: (2024)

Fair Regression under Demographic Parity: A Unified Framework
by: Feng, Yongzhen, et al.
Published: (2026)

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)

Concolic Testing on Individual Fairness of Neural Network Models
by: Huang, Ming-I, et al.
Published: (2025)

Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
by: Singer, Gabriel, et al.
Published: (2026)

Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
by: Ahn, Dawon, et al.
Published: (2025)

Fairness-Aware Graph Representation Learning with Limited Demographic Information
by: Wang, Zichong, et al.
Published: (2025)

The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems
by: Stando, Adrian, et al.
Published: (2023)

Fairness Meets Privacy: Integrating Differential Privacy and Demographic Parity in Multi-class Classification
by: Say, Lilian, et al.
Published: (2025)

Minimax Optimal Fair Classification with Bounded Demographic Disparity
by: Zeng, Xianli, et al.
Published: (2024)

Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models
by: Chiu, Christopher, et al.
Published: (2025)

Transferring Fairness using Multi-Task Learning with Limited Demographic Information
by: Aguirre, Carlos, et al.
Published: (2023)

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
by: Huang, Qiang, et al.
Published: (2024)

How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
by: Small, Edward, et al.
Published: (2022)

Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
by: Sokol, Kacper, et al.
Published: (2022)

UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data
by: Lian, Zhixuan, et al.
Published: (2025)

Cauchy-Schwarz Fairness Regularizer
by: Liu, Yezi, et al.
Published: (2025)

Adversarial Bias: Data Poisoning Attacks on Fairness
by: Chan, Eunice, et al.
Published: (2025)