Mohammdsadegh Saberian

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #31,436 of 35,345 by trust here, #26,682 by citations
• Computer Networks and Communications — 12 citations into it; #8,726 of 9,886 by trust here, #6,788 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Optimization & Training — 6 citations into it
• Hardware and Architecture — 5 citations into it

Whom Mohammdsadegh Saberian trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Karen Simonyan
4. Andrew William Moore
5. Lutz Prechelt
6. Geoffrey E. Hinton

Who trusts Mohammdsadegh Saberian overall

1. Xin Liu
2. Shahbaz Rezaei

Papers from Mohammdsadegh Saberian's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
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. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Deep packet: a novel approach for encrypted traffic classification using deep learning (2017) — 1,082 citations