E. Yildirim

Computer Vision and Pattern Recognition · with Acharya · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it

Whom E. Yildirim trusts overall

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

1. Linda Wang
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton

Papers from E. Yildirim's perspective

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

Their papers

• Automated detection of COVID-19 cases using deep neural networks with X-ray images (2020) — 2,261 citations