Felicitas Buchner

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 Felicitas Buchner trusts overall

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

  1. Cynthia Rudin
  2. Lloyd S. Shapley
  3. Shubham Rathi

Papers from Felicitas Buchner's perspective

Ordered by how strongly the researchers Felicitas Buchner 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. Explainable machine learning in deployment
  8. The role of theories in conceptual coherence.
  9. Designing Theory-Driven User-Centric Explainable AI
  10. A Survey of Methods for Explaining Black Box Models

Their papers