Jochen Papenbrock

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

Whom Jochen Papenbrock trusts overall

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

  1. Scott M. Lundberg

Papers from Jochen Papenbrock's perspective

Ordered by how strongly the researchers Jochen Papenbrock 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. Regression Shrinkage and Selection via the Lasso
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Striving for Simplicity: The All Convolutional Net
  9. Visualizing and Understanding Convolutional Networks
  10. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Their papers