Wadhah Ayadi

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Neurology — 10 citations into it

Whom Wadhah Ayadi trusts overall

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

1. Parnian Afshar
2. Jun Yu
3. Arash Mohammadi
4. K. Plataniotis
5. Ilya Sutskever
6. Andrej Karpathy
7. Geoffrey E. Hinton

Papers from Wadhah Ayadi's perspective

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

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

Their papers

• Deep CNN for Brain Tumor Classification (2021) — 387 citations