Corinna Maier

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom Corinna Maier trusts overall

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

1. Scott M. Lundberg

Papers from Corinna Maier's perspective

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

1. An Efficient Explanation of Individual Classifications using Game Theory
2. A Unified Approach to Interpreting Model Predictions
3. From Local Explanations to Global Understanding with Explainable AI for Trees
4. A Value for n-person Games
5. Polynomial calculation of the Shapley value based on sampling (Computers & Operations Research)
6. Anchors: High-Precision Model-Agnostic Explanations
7. Explaining Classifications For Individual Instances
8. Striving for Simplicity: The All Convolutional Net
9. Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
10. Visualizing and Understanding Convolutional Networks

Their papers

• Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development (2024) — 634 citations