Zeynettin Akkus

Computer Vision and Pattern Recognition · 2017

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

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #21,048 of 21,575 by trust here, #9,435 by citations
• Media Technology — 6 citations into it

Whom Zeynettin Akkus trusts overall

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

1. Lovedeep Gondara
2. Evan Shelhamer
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Yoshua Bengio
7. Kaiming He
8. Tom Brosch
9. Wenlu Zhang
10. Jens Kleesiek

Who trusts Zeynettin Akkus overall

1. Mateusz Buda
2. Akmalbek Bobomirzaevich Abdusalomov
3. Arvid Lundervold
4. Justin Ker
5. M. O. Khairandish
6. Amy Zhao
7. Maciej A. Mazurowski
8. Ashirbani Saha
9. Zhihua Liu
10. A. Ahuja

Papers from Zeynettin Akkus's perspective

Ordered by how strongly the researchers Zeynettin Akkus 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. ImageNet Large Scale Visual Recognition Challenge
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
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

• Toolkits and Libraries for Deep Learning (2017) — 164 citations
• Machine Learning for Medical Imaging (2017) — 1,023 citations
• Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions (2017) — 1,026 citations