A. Ben Hamza

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Oncology — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 6 citations into it

Whom A. Ben Hamza trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Nabil Ibtehaz
4. Tsung-Yi Lin
5. Olaf Ronneberger
6. Jimmy Ba
7. Ross B. Girshick
8. Geoffrey E. Hinton
9. X. Zhang
10. Alex Krizhevsky

Papers from A. Ben Hamza's perspective

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

Their papers

• Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation (2021) — 368 citations