Niklas Bussmann

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Niklas Bussmann trusts overall

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

1. Scott M. Lundberg
2. Tianqi Chen
3. W. James Murdoch
4. Su-In Lee
5. Carlos Guestrin
6. Jerome H. Friedman
7. Chandan Singh

Papers from Niklas Bussmann's perspective

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

1. A Unified Approach to Interpreting Model Predictions
2. From Local Explanations to Global Understanding with Explainable AI for Trees
3. XGBoost: A Scalable Tree Boosting System
4. Definitions, methods, and applications in interpretable machine learning
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Visualizing and Understanding Convolutional Networks
9. Regression Shrinkage and Selection via the Lasso
10. Striving for Simplicity: The All Convolutional Net

Their papers

• Explainable Machine Learning in Credit Risk Management (2020) — 394 citations