Michael J. Eisses

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it

Whom Michael J. Eisses trusts overall

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

1. Scott M. Lundberg

Papers from Michael J. Eisses's perspective

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

1. A Unified Approach to Interpreting Model Predictions
2. Consistent Individualized Feature Attribution for Tree Ensembles
3. An unexpected unity among methods for interpreting model predictions
4. Regression Shrinkage and Selection via the Lasso
5. Information Theory: 1948-1998 - Guest Editorial
6. The Nature of Statistical Learning Theory
7. A Value for n-person Games
8. An Efficient Explanation of Individual Classifications using Game Theory
9. Polynomial calculation of the Shapley value based on sampling (Computers & Operations Research)
10. Explaining Classifications For Individual Instances

Their papers

• Explainable machine-learning predictions for the prevention of hypoxaemia during surgery (2018) — 1,743 citations
• Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery (2017) — 36 citations