Erik Strumbelj

Artificial Intelligence · 2010–2014

A researcher in the Science corpus: 5 papers; trusts 41 researchers and is trusted by 91 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #2,330 of 35,345 by trust here, #6,956 by citations
• Computer Vision and Pattern Recognition — 16 citations into it
• Safety, Robustness & Interpretability — 14 citations into it; #256 of 2,251 by trust here, #1,162 by citations
• Information Systems — 9 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Signal Processing — 7 citations into it
• Model Architectures — 5 citations into it

Whom Erik Strumbelj trusts overall

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

1. Igor Kononenko
2. Marko Robnik-Sikonja
3. Aleks Jakulin
4. Donald Ervin Knuth
5. Mark A. Hall
6. Lloyd S. Shapley
7. Martin Mozina
8. Brett Poulin
9. Ron Kohavi
10. Trevor J. Hastie

Who trusts Erik Strumbelj overall

1. Scott M. Lundberg
2. Przemyslaw Biecek
3. Ian Covert
4. Giuseppe Casalicchio
5. Su-In Lee
6. Igor Kononenko
7. Christoph Molnar
8. Marco Tulio Ribeiro
9. Gabriel Erion-Barner
10. Giulia Vilone

Papers from Erik Strumbelj's perspective

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

1. Random Forests
2. The Nature of Statistical Learning Theory
3. Neural Networks for Pattern Recognition
4. Wrappers for Feature Subset Selection
5. A Value for n-person Games
6. Explaining Classifications For Individual Instances
7. An Efficient Explanation of Individual Classifications using Game Theory
8. Random Forests and Adaptive Nearest Neighbors
9. Finite Mixture Models
10. C4.5: Programs for Machine Learning

Their papers

• An Efficient Explanation of Individual Classifications using Game Theory (2010) — 802 citations
• Explaining prediction models and individual predictions with feature contributions (2014) — 2,151 citations
• Explanation and Reliability of Individual Predictions (2013) — 12 citations
• A General Method for Visualizing and Explaining Black-Box Regression Models (2011) — 54 citations
• Efficiently Explaining Decisions of Probabilistic RBF Classification Networks (2011) — 10 citations