Moataz Abelwahab

Plant Science · 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

• Plant Science — 29 citations into it

Whom Moataz Abelwahab trusts overall

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

1. J. G. Arnal Barbedo

Papers from Moataz Abelwahab's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Histograms of oriented gradients for human detection
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Recent advances in image processing techniques for automated leaf pest and disease recognition – A review (2020) — 511 citations