Shahein H. Tajmir

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it

Whom Shahein H. Tajmir trusts overall

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

1. Yann LeCun
2. Karen Simonyan
3. Matthew D. Zeiler
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Yoshua Bengio
8. Christian Szegedy
9. Kaiming He
10. Jia Deng

Papers from Shahein H. Tajmir's perspective

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

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

Their papers

• An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets (2018) — 384 citations
• Fully Automated Deep Learning System for Bone Age Assessment (2017) — 426 citations