Rico Angell

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rico Angell trusts overall

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

  1. Toon Calders
  2. Gordon Fraser
  3. Faisal Kamiran
  4. Indrė Žliobaitė
  5. Sainyam Galhotra
  6. Muhammad Bilal Zafar
  7. Yuriy Brun
  8. Florian Tramèr
  9. Sicco Verwer
  10. Andrea Arcuri

Who trusts Rico Angell overall

  1. Jie M. Zhang
  2. Shira Mitchell
  3. Mark Harman

Papers from Rico Angell's perspective

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

  1. Three naive Bayes approaches for discrimination-free classification
  2. Discrimination in online ad delivery
  3. Fairness through awareness
  4. Handling Conditional Discrimination
  5. Counterfactual Fairness (Neural Information Processing Systems)
  6. ImageNet classification with deep convolutional neural networks
  7. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
  8. Unequal Representation and Gender Stereotypes in Image Search Results for Occupations
  9. Causal inference in statistics: An overview
  10. A Reductions Approach to Fair Classification

Their papers