Philippe M. Burlina

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Philippe M. Burlina trusts overall

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

  1. Yuhai Wu

Who trusts Philippe M. Burlina overall

  1. Christoph H. Lampert
  2. Gwenolé Quellec
  3. Shazia Dharssi
  4. Ursula Schmidt-Erfurth
  5. Daniel Shu Wei Ting
  6. Geert J. S. Litjens
  7. Yang Xu
  8. Xudong Kang
  9. Degang Wang
  10. Telmo Adão

Papers from Philippe M. Burlina's perspective

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

  1. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers