Machine Learning Techniques with Fairness for Prediction of Completion of Drug and Alcohol Rehabilitation
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Roberts-Licklider, Karen, Trafalis, Theodore |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
par: Jafarigol, Elaheh, et autres
Publié: (2023)
par: Jafarigol, Elaheh, et autres
Publié: (2023)
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
par: Li, Siqi, et autres
Publié: (2024)
par: Li, Siqi, et autres
Publié: (2024)
Tuning Derivatives for Causal Fairness in Machine Learning
par: Edström, Filip, et autres
Publié: (2026)
par: Edström, Filip, et autres
Publié: (2026)
Fair Machine Learning in Healthcare: A Review
par: Feng, Qizhang, et autres
Publié: (2022)
par: Feng, Qizhang, et autres
Publié: (2022)
On The Fairness Impacts of Hardware Selection in Machine Learning
par: Nelaturu, Sree Harsha, et autres
Publié: (2023)
par: Nelaturu, Sree Harsha, et autres
Publié: (2023)
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems
par: Cohen-Inger, Nurit, et autres
Publié: (2025)
par: Cohen-Inger, Nurit, et autres
Publié: (2025)
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
par: Liu, Mingxuan, et autres
Publié: (2024)
par: Liu, Mingxuan, et autres
Publié: (2024)
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
par: Kong, Youjin
Publié: (2025)
par: Kong, Youjin
Publié: (2025)
Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
par: Weerts, Hilde, et autres
Publié: (2022)
par: Weerts, Hilde, et autres
Publié: (2022)
AI Fairness Beyond Complete Demographics: Current Achievements and Future Directions
par: Wang, Zichong, et autres
Publié: (2025)
par: Wang, Zichong, et autres
Publié: (2025)
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
par: Asiedu, Mercy Nyamewaa, et autres
Publié: (2023)
par: Asiedu, Mercy Nyamewaa, et autres
Publié: (2023)
Fairness in Federated Learning: Fairness for Whom?
par: Taik, Afaf, et autres
Publié: (2025)
par: Taik, Afaf, et autres
Publié: (2025)
FairMT: Fairness for Heterogeneous Multi-Task Learning
par: Hu, Guanyu, et autres
Publié: (2025)
par: Hu, Guanyu, et autres
Publié: (2025)
Fair CCA for Fair Representation Learning: An ADNI Study
par: Hou, Bojian, et autres
Publié: (2025)
par: Hou, Bojian, et autres
Publié: (2025)
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
par: Gohar, Usman, et autres
Publié: (2024)
par: Gohar, Usman, et autres
Publié: (2024)
Leveraging Machine Learning Techniques to Investigate Media and Information Literacy Competence in Tackling Disinformation
par: Alcalde-Llergo, José Manuel, et autres
Publié: (2026)
par: Alcalde-Llergo, José Manuel, et autres
Publié: (2026)
Improving the Fairness of Deep-Learning, Short-term Crime Prediction with Under-reporting-aware Models
par: Wu, Jiahui, et autres
Publié: (2024)
par: Wu, Jiahui, et autres
Publié: (2024)
Enhancing Project Performance Forecasting using Machine Learning Techniques
par: Sadeghi, Soheila
Publié: (2024)
par: Sadeghi, Soheila
Publié: (2024)
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
par: Wang, Zhihao, et autres
Publié: (2024)
par: Wang, Zhihao, et autres
Publié: (2024)
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
par: Cooper, A. Feder, et autres
Publié: (2023)
par: Cooper, A. Feder, et autres
Publié: (2023)
Evaluation of Machine Learning Models in Student Academic Performance Prediction
par: Sandeepa, A. G. R., et autres
Publié: (2025)
par: Sandeepa, A. G. R., et autres
Publié: (2025)
Learning Fairer Representations with FairVIC
par: Barker, Charmaine, et autres
Publié: (2024)
par: Barker, Charmaine, et autres
Publié: (2024)
Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems
par: Yan, Jing Nathan, et autres
Publié: (2025)
par: Yan, Jing Nathan, et autres
Publié: (2025)
The Cost of Local and Global Fairness in Federated Learning
par: Duan, Yuying, et autres
Publié: (2025)
par: Duan, Yuying, et autres
Publié: (2025)
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
par: Han, Xiaotian, et autres
Publié: (2023)
par: Han, Xiaotian, et autres
Publié: (2023)
FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
par: Sanchez Jr., David, et autres
Publié: (2025)
par: Sanchez Jr., David, et autres
Publié: (2025)
Uncertainty-Driven Reliability: Selective Prediction and Trustworthy Deployment in Modern Machine Learning
par: Rabanser, Stephan
Publié: (2025)
par: Rabanser, Stephan
Publié: (2025)
End-to-End Optimization and Learning of Fair Court Schedules
par: Dinh, My H, et autres
Publié: (2024)
par: Dinh, My H, et autres
Publié: (2024)
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
par: Shang, Tianqi, et autres
Publié: (2024)
par: Shang, Tianqi, et autres
Publié: (2024)
A Comparative Simulation Study of the Fairness and Accuracy of Predictive Policing Systems in Baltimore City
par: Semsar, Samin, et autres
Publié: (2026)
par: Semsar, Samin, et autres
Publié: (2026)
OxonFair: A Flexible Toolkit for Algorithmic Fairness
par: Delaney, Eoin, et autres
Publié: (2024)
par: Delaney, Eoin, et autres
Publié: (2024)
FairPFN: Transformers Can do Counterfactual Fairness
par: Robertson, Jake, et autres
Publié: (2024)
par: Robertson, Jake, et autres
Publié: (2024)
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
par: Zhao, Chen, et autres
Publié: (2024)
par: Zhao, Chen, et autres
Publié: (2024)
A Post-Processing-Based Fair Federated Learning Framework
par: Zhou, Yi, et autres
Publié: (2025)
par: Zhou, Yi, et autres
Publié: (2025)
Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
par: Rathore, Vidhi
Publié: (2026)
par: Rathore, Vidhi
Publié: (2026)
Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction
par: Yuan, Yining, et autres
Publié: (2025)
par: Yuan, Yining, et autres
Publié: (2025)
A Multi-Plant Machine Learning Framework for Emission Prediction, Forecasting, and Control in Cement Manufacturing
par: Fayaz, Sheikh Junaid, et autres
Publié: (2026)
par: Fayaz, Sheikh Junaid, et autres
Publié: (2026)
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
par: Alamdari, Parand A., et autres
Publié: (2023)
par: Alamdari, Parand A., et autres
Publié: (2023)
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
par: Li, Dong, et autres
Publié: (2024)
par: Li, Dong, et autres
Publié: (2024)
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning
par: Meerza, Syed Irfan Ali, et autres
Publié: (2024)
par: Meerza, Syed Irfan Ali, et autres
Publié: (2024)
Documents similaires
-
A Review of Machine Learning Techniques in Imbalanced Data and Future Trends
par: Jafarigol, Elaheh, et autres
Publié: (2023) -
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
par: Li, Siqi, et autres
Publié: (2024) -
Tuning Derivatives for Causal Fairness in Machine Learning
par: Edström, Filip, et autres
Publié: (2026) -
Fair Machine Learning in Healthcare: A Review
par: Feng, Qizhang, et autres
Publié: (2022) -
On The Fairness Impacts of Hardware Selection in Machine Learning
par: Nelaturu, Sree Harsha, et autres
Publié: (2023)