Samuel Foucher

Plant Science · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 18 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Samuel Foucher trusts overall

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

1. J. G. Arnal Barbedo
2. Yoshua Bengio
3. David P. Hughes
4. Burr Settles
5. Leslie N. Smith
6. Stephen Gould
7. Sharada Prasanna Mohanty
8. Marcel Salathé
9. Geoffrey E. Hinton

Papers from Samuel Foucher's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Convolutional Neural Networks for the Automatic Identification of Plant Diseases (2019) — 347 citations