Mohammed Brahimi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Mohammed Brahimi trusts overall

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

1. Matthew D. Zeiler
2. Min Lin
3. Christian Szegedy
4. Hazem Hiary
5. Rob Fergus
6. Alex Krizhevsky
7. Geoffrey E. Hinton
8. Qiang Chen
9. S. Ahmad
10. Wei David Liu

Who trusts Mohammed Brahimi overall

1. J. G. Arnal Barbedo
2. Chowdhury Rafeed Rahman
3. Vijaypal Singh Dhaka
4. Preetom Saha Arko
5. Sangeeta Vaibhav Meena

Papers from Mohammed Brahimi's perspective

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

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

Their papers

• Deep Learning for Tomato Diseases: Classification and Symptoms Visualization (2017) — 832 citations