Nicolas Pfeuffer

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Nicolas Pfeuffer trusts overall

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

  1. Alex Krizhevsky

Papers from Nicolas Pfeuffer's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Rethinking the Inception Architecture for Computer Vision
  3. Deep Learning
  4. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
  5. Dermatologist-level classification of skin cancer with deep neural networks
  6. CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
  7. ImageNet: A large-scale hierarchical image database
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Power to the People: The Role of Humans in Interactive Machine Learning (The AI Magazine)
  10. The Role of Explanations on Trust and Reliance in Clinical Decision Support Systems (2015 International Conference on Healthcare Informatics)

Their papers