A. Shoeibi

Computer Vision and Pattern Recognition · 2020–2024

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

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it

Whom A. Shoeibi trusts overall

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

1. Karen Simonyan
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Nitish Srivastava
6. Ali H. Shoeb
7. Ralph G. Andrzejak
8. Dong Yu
9. Ruslan Salakhutdinov
10. Andrew Zisserman

Papers from A. Shoeibi's perspective

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

Their papers

• A review of Explainable Artificial Intelligence in healthcare (2024) — 452 citations
• Epileptic Seizures Detection Using Deep Learning Techniques: A Review (2020) — 385 citations
• Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images (2020) — 374 citations