Gokberk Serin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Gokberk Serin trusts overall

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

1. Simon S. Haykin
2. Michael A. Arbib
3. Richard S. Sutton
4. Karen Simonyan
5. Sepp Hochreiter
6. Andrew Barto
7. Pavlo Molchanov
8. Andrew Zisserman
9. J. Urgen Schmidhuber
10. Geoffrey E. Hinton

Who trusts Gokberk Serin overall

1. Mohammad Mustafa Taye

Papers from Gokberk Serin's perspective

Ordered by how strongly the researchers Gokberk Serin 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
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

• Review of tool condition monitoring in machining and opportunities for deep learning (2020) — 313 citations