Michal Kuzba

2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Michal Kuzba trusts overall

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

  1. Jerome H. Friedman
  2. John C. Gower
  3. Przemyslaw Biecek
  4. Scott M. Lundberg
  5. A. Goldstein
  6. Su-In Lee
  7. Adam Kapelner

Who trusts Michal Kuzba overall

  1. Alicja Gosiewska
  2. Przemyslaw Biecek

Papers from Michal Kuzba's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. A Unified Approach to Interpreting Model Predictions
  3. A General Coefficient of Similarity and Some of Its Properties
  4. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
  5. DALEX: explainers for complex predictive models
  6. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
  7. Regression Shrinkage and Selection via the Lasso
  8. The Nature of Statistical Learning Theory
  9. Information Theory: 1948-1998 - Guest Editorial
  10. Visualizing and Understanding Convolutional Networks

Their papers