Anita H. M. Cremers

Artificial Intelligence · 2008–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anita H. M. Cremers trusts overall

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

  1. Daniel Kahneman
  2. Finale Doshi-Velez
  3. Bradley Hayes
  4. Amina Adadi

Papers from Anita H. M. Cremers's perspective

Ordered by how strongly the researchers Anita H. M. Cremers trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Explanation in Artificial Intelligence: Insights from the Social Sciences
  2. Towards A Rigorous Science of Interpretable Machine Learning
  3. Explaining collaborative filtering recommendations
  4. A Survey of Methods for Explaining Black Box Models
  5. Generating Visual Explanations
  6. ImageNet classification with deep convolutional neural networks
  7. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
  8. Why and why not explanations improve the intelligibility of context-aware intelligent systems
  9. Eclectic Rule-Extraction from Support Vector Machines
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers