Shu-Fang Newman

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shu-Fang Newman trusts

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

  1. Scott M. Lundberg (in Artificial Intelligence)
  2. Su-In Lee (in Artificial Intelligence)
  3. Jerome H. Friedman (in Artificial Intelligence)

Papers from Shu-Fang Newman's perspective

Ordered by how strongly the researchers Shu-Fang Newman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Unified Approach to Interpreting Model Predictions
  2. Consistent Individualized Feature Attribution for Tree Ensembles
  3. An unexpected unity among methods for interpreting model predictions
  4. Regression Shrinkage and Selection via the Lasso
  5. Information Theory: 1948-1998 - Guest Editorial
  6. A Value for n-person Games
  7. The Nature of Statistical Learning Theory
  8. An Efficient Explanation of Individual Classifications using Game Theory
  9. Polynomial calculation of the Shapley value based on sampling (Computers & Operations Research)
  10. Explaining Classifications For Individual Instances

Their papers