Justin Sahs

Signal Processing · 2012

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 6 citations into it; #5,144 of 7,572 by trust here, #6,083 by citations
• Artificial Intelligence — 5 citations into it
• Computer Networks and Communications — 5 citations into it; #6,581 of 9,886 by trust here, #7,832 by citations

Whom Justin Sahs trusts overall

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

1. Chih-Jen Lin
2. J. Kolter
3. Christian Wallraven
4. Mark A. Davenport
5. Bernhard Schölkopf
6. Huma Mahmood Lodhi
7. Yajin Zhou
8. A. Bose
9. Nino Shervashidze
10. John Shawe-Taylor

Who trusts Justin Sahs overall

1. Nikola Milosevic
2. Ali Dehghantanha
3. Luiza Sayfullina
4. Kim-Kwang Raymond Choo
5. Martina Lindorfer

Papers from Justin Sahs's perspective

Ordered by how strongly the researchers Justin Sahs 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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. GENERATIVE ADVERSARIAL NETS

Their papers

• A Machine Learning Approach to Android Malware Detection (2012) — 371 citations