Mohammad Nassef

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Mohammad Nassef trusts overall

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

1. L. Eon Bottou
2. Ilya Sutskever
3. Andrew L. Maas
4. Alex Krizhevsky
5. Yann LeCun
6. Geoffrey E. Hinton
7. Heung-Il Suk
8. Yoshua Bengio
9. Devinder Kumar
10. Matthew D. Zeiler

Papers from Mohammad Nassef's perspective

Ordered by how strongly the researchers Mohammad Nassef 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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Lung Cancer Detection and Classification with 3D Convolutional Neural Network (3D-CNN) (2017) — 298 citations