Linwei Hu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Linwei Hu trusts overall

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

  1. Jerome H. Friedman
  2. Daniel W. Apley
  3. Marco Tulio Ribeiro
  4. A. Goldstein
  5. Sarah Tan
  6. Jingyu Zhu
  7. Leo Breiman
  8. R. Caruana
  9. Sameer Singh
  10. Adam Kapelner

Who trusts Linwei Hu overall

  1. Christoph Molnar
  2. Lev V. Utkin
  3. Patrick Hall
  4. Giuseppe Casalicchio
  5. Egor D. Satyukov

Papers from Linwei Hu's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  3. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
  4. Transparent Model Distillation
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Random Forests
  8. Gradient-based learning applied to document recognition
  9. Diagnostics for Gaussian Process Emulators (Technometrics)
  10. Regression Shrinkage and Selection via the Lasso

Their papers