Jérôme Théau

Plant Science · 2016–2019

A researcher in the Science corpus: 2 papers; 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 — 11 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Jérôme Théau 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

Papers from Jérôme Théau's perspective

Ordered by how strongly the researchers Jérôme Théau 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. Visualizing and Understanding Convolutional Networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. ImageNet Large Scale Visual Recognition Challenge
8. Deep Learning
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Convolutional Neural Networks for the Automatic Identification of Plant Diseases (2019) — 347 citations
• Visible and thermal infrared remote sensing for the detection of white‐tailed deer using an unmanned aerial system (2016) — 157 citations