Vanessa Schmitt

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 Vanessa Schmitt trusts overall

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

1. Scott M. Lundberg
2. Erik Strumbelj

Papers from Vanessa Schmitt's perspective

Ordered by how strongly the researchers Vanessa Schmitt 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. Striving for Simplicity: The All Convolutional Net
7. Anchors: High-Precision Model-Agnostic Explanations
8. Visualizing and Understanding Convolutional Networks
9. Explaining Classifications For Individual Instances
10. Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

Their papers

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