Omar Alheyane

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 80 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #28,394 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 15 citations into it; #17,441 of 21,575 by trust here, #19,310 by citations
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Omar Alheyane trusts overall

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

1. Yoshua Bengio
2. Karen Simonyan
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Yann LeCun
7. Christian Szegedy
8. Alex Krizhevsky
9. Kaiming He
10. Jimmy Ba

Who trusts Omar Alheyane overall

1. Imran Khan Mohd Jais
2. Syed Qamrun Nisa
3. Amelia Ritahani Ismail

Papers from Omar Alheyane's perspective

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

Their papers

• Deep Convolutional Neural Networks for breast cancer screening (2018) — 381 citations