Kangcheng Lin

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kangcheng Lin trusts overall

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

  1. Uriel Feige
  2. Berk Ustun
  3. Cynthia Rudin
  4. Yao Ming
  5. Yin Lou
  6. Riccardo Guidotti
  7. R. Caruana
  8. Sérgio Moro
  9. Huamin Qu

Who trusts Kangcheng Lin overall

  1. Cynthia Rudin
  2. Lesia Semenova
  3. Javier Antorán Cabiscol

Papers from Kangcheng Lin's perspective

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

  1. Anchors: High-Precision Model-Agnostic Explanations
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Accurate intelligible models with pairwise interactions
  4. A threshold of ln n for approximating set cover (preliminary version)
  5. Interpretable & Explorable Approximations of Black Box Models
  6. RuleMatrix: Visualizing and Understanding Classifiers with Rules
  7. Optimized Risk Scores
  8. An optimization approach to learning falling rule lists
  9. A data-driven approach to predict the success of bank telemarketing
  10. Regression Shrinkage and Selection via the Lasso

Their papers