ArticleProceedings of machine learning research2023
Fairness-Aware Class Imbalanced Learning on Multiple Subgroups.
Article in Proceedings of machine learning research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Using Under-Represented Subgroup Fine Tuning to Improve Fairness for Disease Prediction.Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference) · 2025Article
- Fair CCA for Fair Representation Learning: An ADNI Study.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025Article
- Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty.Frontiers in artificial intelligence · 2025Article
- Fairness-Aware Estimation of Graphical Models.Advances in neural information processing systems · 2024Article
- Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection.Machine learning in medical imaging. MLMI (Workshop) · 2024Article
- Analyzing Dementia Caregivers' Experiences on Twitter: A Term-Weighted Topic Modeling Approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- PFERM: A Fair Empirical Risk Minimization Approach with Prior Knowledge.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
- Fair Canonical Correlation Analysis.Advances in neural information processing systems · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
We present a novel Bayesian-based optimization framework that addresses the challenge of generalization in overparameterized models when dealing with imbalanced subgroups and limited samples per subgroup. Our proposed tri-level optimization framework utilizes
Identifiers
38601022PMC11003754What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.