Erica Klampfl

Information Systems · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 19 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Erica Klampfl trusts overall

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

  1. Cynthia Rudin
  2. Christian Borgelt
  3. William W. Cohen
  4. Benjamin Letham
  5. Fulton Wang
  6. Jerome H. Friedman
  7. Kenneth Train
  8. Tyler H. McCormick
  9. Jiawei Han
  10. Dmitry M. Malioutov

Who trusts Erica Klampfl overall

  1. Tong Wang
  2. Nadia Burkart
  3. Giulia Vilone

Papers from Erica Klampfl's perspective

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

  1. A theory of the learnable
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. The magical number seven plus or minus two: some limits on our capacity for processing information.
  4. The CN2 Induction Algorithm
  5. Comprehensible classification models: a position paper
  6. An implementation of the FP-growth algorithm
  7. Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
  8. Introduction to Reinforcement Learning
  9. ImageNet classification with deep convolutional neural networks
  10. Performance of classification models from a user perspective

Their papers