Maurice van Keulen

Artificial Intelligence · 2006–2022

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

Subfields

Whom Maurice van Keulen trusts overall

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

  1. Wolfgang Meier

Papers from Maurice van Keulen's perspective

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

  1. Visualizing Data using t-SNE
  2. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  3. A Unified Approach to Interpreting Model Predictions
  4. Explanation in Artificial Intelligence: Insights from the Social Sciences
  5. Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
  6. On supporting containment queries in relational database management systems (ACM SIGMOD Conference)
  7. Greedy function approximation: A gradient boosting machine.
  8. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  9. Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
  10. A Survey of Methods for Explaining Black Box Models

Their papers