Ewa Baranowska

2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Ewa Baranowska trusts overall

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

1. Jerome H. Friedman
2. John C. Gower
3. Przemyslaw Biecek
4. Scott M. Lundberg
5. A. Goldstein

Who trusts Ewa Baranowska overall

1. Alicja Gosiewska

Papers from Ewa Baranowska's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. A Unified Approach to Interpreting Model Predictions
3. A General Coefficient of Similarity and Some of Its Properties
4. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
5. DALEX: explainers for complex predictive models
6. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
7. Regression Shrinkage and Selection via the Lasso
8. The Nature of Statistical Learning Theory
9. Information Theory: 1948-1998 - Guest Editorial
10. Anchors: High-Precision Model-Agnostic Explanations

Their papers

• pyCeterisParibus: explaining Machine Learning models with Ceteris Paribus Profiles in Python (2019) — 16 citations