Andreas Butz

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas Butz trusts

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

  1. Cynthia Rudin (in Artificial Intelligence)
  2. Shubham Rathi (in Artificial Intelligence)
  3. Lloyd S. Shapley (in Game & Decision Theory)
  4. Sameer Singh (in Safety, Robustness & Interpretability)

Papers from Andreas Butz's perspective

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

  1. The mythos of model interpretability
  2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  3. Explanation in Artificial Intelligence: Insights from the Social Sciences
  4. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  5. The Role of Explanations on Trust and Reliance in Clinical Decision Support Systems (2015 International Conference on Healthcare Informatics)
  6. Explanation and Justification in Machine Learning : A Survey Or
  7. The role of theories in conceptual coherence.
  8. Explainable machine learning in deployment
  9. Designing Theory-Driven User-Centric Explainable AI
  10. A Survey of Methods for Explaining Black Box Models

Their papers