Michael Gao

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

Whom Michael Gao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zachary Chase Lipton
  2. Gary S. Collins
  3. Joseph D. Futoma

Papers from Michael Gao's perspective

Ordered by how strongly the researchers Michael Gao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The mythos of model interpretability
  2. Dissecting racial bias in an algorithm used to manage the health of populations
  3. Towards A Rigorous Science of Interpretable Machine Learning
  4. Model Cards for Model Reporting
  5. Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
  6. Explanation in Artificial Intelligence: Insights from the Social Sciences
  7. Using recurrent neural network models for early detection of heart failure onset
  8. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  9. Time to Treatment and Mortality during Mandated Emergency Care for Sepsis (New England Journal of Medicine)
  10. The practical implementation of artificial intelligence technologies in medicine

Their papers