William Ratliff

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 William Ratliff trusts overall

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

  1. Zachary Chase Lipton

Papers from William Ratliff's perspective

Ordered by how strongly the researchers William Ratliff 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. Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
  5. Model Cards for Model Reporting
  6. Explanation in Artificial Intelligence: Insights from the Social Sciences
  7. Using recurrent neural network models for early detection of heart failure onset
  8. Time to Treatment and Mortality during Mandated Emergency Care for Sepsis (New England Journal of Medicine)
  9. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  10. The practical implementation of artificial intelligence technologies in medicine

Their papers