Marshall Nichols

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 Marshall Nichols trusts overall

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

  1. Zachary Chase Lipton

Papers from Marshall Nichols's perspective

Ordered by how strongly the researchers Marshall Nichols 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. The practical implementation of artificial intelligence technologies in medicine
  10. Modeling Missing Data in Clinical Time Series with RNNs

Their papers