Jill Burstein

Artificial Intelligence · 2003–2017

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Jill Burstein trusts overall

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

  1. Gerard A. Salton
  2. Faisal Kamiran

Who trusts Jill Burstein overall

  1. Helen Yannakoudakis
  2. Scott Andrew Crossley
  3. K. Kyle
  4. Steven Burrows
  5. Fei Dong
  6. Yigal Attali
  7. Semire Dikli
  8. Iryna Gurevych
  9. Ted Briscoe
  10. Nitin Madnani

Papers from Jill Burstein's perspective

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

  1. Fairness-Aware Classifier with Prejudice Remover Regularizer
  2. Three naive Bayes approaches for discrimination-free classification
  3. k-NN as an implementation of situation testing for discrimination discovery and prevention
  4. Classifying without discriminating
  5. Data preprocessing techniques for classification without discrimination
  6. Learning Fair Representations
  7. Decision Theory for Discrimination-Aware Classification
  8. A Methodology for Direct and Indirect Discrimination Prevention in Data Mining
  9. Certifying and Removing Disparate Impact
  10. Combating discrimination using Bayesian networks

Their papers