Mahmoud Kalash

International Conference on New Technologies, Mobility and Security · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mahmoud Kalash trusts overall

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

1. Karen Simonyan
2. Aude Oliva
3. J. Kolter
4. Ronan Collobert
5. Antonio Torralba
6. Andrew Zisserman
7. Matthew G. Schultz
8. Lakshmanan Nataraj
9. Konrad Rieck
10. Mansour Ahmadi

Papers from Mahmoud Kalash's perspective

Ordered by how strongly the researchers Mahmoud Kalash 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Malware Classification with Deep Convolutional Neural Networks (2018) — 354 citations