Engineering Fair Machine Learning Pipelines
- Martin Hirzel
- Kiran Kate
- et al.
- 2021
- ICLR 2021
Publications
98 results for Fairness, Accountability, Transparency
Comparison of Methods to Reduce Bias from Clinical Prediction Models of Postpartum Depression
- Yoonyoung Park
- Jianying Hu
- et al.
- 2021
- JAMA network open
Making Business Partner Recommendation More Effective: Impacts of Combining Recommenders and Explanations through User Feedback
- Öznur Alkan
- Massimiliano Mattetti
- et al.
- 2021
- ACMIUI-WS 2021
Connecting Underrepresented Minorities and Qualified Job Positions Using Online Data
- Maysa Malfiza Garcia de Macedo
- Marisa Affonso Vasconcelos
- et al.
- 2021
- AAAI 2021
Addressing Unique Fairness Obstacles within Federated Learning
- Annie Abay
- Ebube Chuba
- et al.
- 2021
- AAAI 2021
Bias in Clinical Risk Prediction Models: Challenges in Application to Observational Health Data
- Yoonyoung Park
- Moninder Singh
- et al.
- 2021
- AAAI 2021
Algorithmic Selection of Patients for Case Management: Alternative Proxies to Healthcare Costs
- 2021
- AAAI 2021
Learning to Design Fair and Private Voting Rules
- Farhad Mohsin
- Ao Liu
- et al.
- 2020
- NeurIPS 2020
Reliable, Fair and Decentralized Marketplace for Content Sharing Using Blockchain
- Prabal Banerjee
- Chander Govindarajan
- et al.
- 2020
- Blockchain 2020
Optimized Score Transformation for Fair Classification
- 2020
- AISTATS 2020