Refik Samet

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 21 citations into it
• Computer Networks and Communications — 19 citations into it
• Artificial Intelligence — 11 citations into it

Whom Refik Samet trusts overall

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

1. Joshua Saxe
2. Alireza Souri
3. George E. Dahl
4. Ekta Gandotra
5. Mahbod Tavallaee
6. Blake Anderson
7. Yoshua Bengio
8. Clemens Kolbitsch
9. Konstantin Berlin
10. Rahil Hosseini

Papers from Refik Samet's perspective

Ordered by how strongly the researchers Refik Samet trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Deep Architectures for AI
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Comprehensive Review on Malware Detection Approaches (2020) — 539 citations