Scott E. Coull

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Scott E. Coull trusts overall

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

  1. David A. Wagner
  2. Anil Somayaji
  3. Luís Nunes Vicente
  4. H. S. Anderson
  5. Kymie M. C. Tan
  6. Stephanie Forrest
  7. Battista Biggio
  8. Prahlad Fogla
  9. Simon Pak Ho Chung
  10. Scott M. Lundberg

Who trusts Scott E. Coull overall

  1. Tao Wang
  2. Xiang Cai
  3. Andriy Panchenko
  4. Ian Goldberg
  5. Marc Juárez
  6. Payap Sirinam
  7. Vincent F. Taylor
  8. Goutham Ramakrishnan

Papers from Scott E. Coull's perspective

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

  1. Intriguing properties of neural networks
  2. Explaining and Harnessing Adversarial Examples
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Poisoning Attacks against Support Vector Machines
  7. Learning Multiple Layers of Features from Tiny Images
  8. Evasion Attacks against Machine Learning at Test Time
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers