Diana Mincu
Google (United Kingdom)(GB)
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Machine Learning in Healthcare, Topic Modeling, Multiple Sclerosis Research Studies, Natural Language Processing Techniques
Most-Cited Works
- → Underspecification Presents Challenges for Credibility in Modern Machine Learning(2020)430 cited
- → Healthsheet: Development of a Transparency Artifact for Health Datasets(2022)58 cited
- → Developing robust benchmarks for driving forward AI innovation in healthcare(2022)42 cited
- → Diagnosing failures of fairness transfer across distribution shift in real-world medical settings(2022)32 cited
- → Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing(2021)17 cited
- → Best of both worlds: local and global explanations with human-understandable concepts(2021)14 cited
- → Anniversary AI reflections(2024)11 cited
- → Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering(2023)7 cited
- → Disability prediction in multiple sclerosis using performance outcome measures and demographic data(2022)4 cited