Suresh Balu
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
Whom Suresh Balu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Zachary Chase Lipton (in Artificial Intelligence)
Papers from Suresh Balu's perspective
Ordered by how strongly the researchers Suresh Balu trusts endorse each paper. Same corpus, a different order for every researcher.
- The mythos of model interpretability
- Dissecting racial bias in an algorithm used to manage the health of populations
- Towards A Rigorous Science of Interpretable Machine Learning
- Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
- Model Cards for Model Reporting
- Explanation in Artificial Intelligence: Insights from the Social Sciences
- Using recurrent neural network models for early detection of heart failure onset
- Time to Treatment and Mortality during Mandated Emergency Care for Sepsis (New England Journal of Medicine)
- The practical implementation of artificial intelligence technologies in medicine
- Modeling Missing Data in Clinical Time Series with RNNs
Their papers
- "The human body is a black box": supporting clinical decision-making with deep learning (2019) — 220 citations