Bryce Goodman

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Bryce Goodman trusts overall

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

  1. Rupanjali Dive
  2. Toon Calders
  3. Bettina Berendt
  4. Anagha P. Khedkar
  5. Sara Hajian
  6. Indrė Žliobaitė
  7. Jenna Burrell
  8. Christian Sandvig
  9. Sören Preibusch
  10. Michael Feldman

Who trusts Bryce Goodman overall

  1. Daniel S. Weld
  2. Cynthia Rudin
  3. Eva Thelisson
  4. Wojciech Samek
  5. Gagan Bansal
  6. Chandan Singh
  7. Zachary Chase Lipton
  8. Daniel M. Low
  9. Samuel Budd
  10. Alun David Preece

Papers from Bryce Goodman's perspective

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

  1. Three naive Bayes approaches for discrimination-free classification
  2. Integrating induction and deduction for finding evidence of discrimination
  3. Certifying and Removing Disparate Impact
  4. Discrimination Aware Decision Tree Learning
  5. The Black Box Society: The Secret Algorithms That Control Money and Information
  6. ImageNet: A large-scale hierarchical image database
  7. Classification with no discrimination by preferential sampling
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. DCUBE: discrimination discovery in databases
  10. A multidisciplinary survey on discrimination analysis

Their papers