Saaid Achchab

2015

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Saaid Achchab trusts overall

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

1. Adam Coates
2. Corinna Cortes
3. Geoffrey E. Hinton
4. Yangqing Jia
5. Andrew Y. Ng
6. Jie Sun
7. Vladimir Naumovich Vapnik
8. Yoshua Bengio

Who trusts Saaid Achchab overall

1. A. Ozbayoglu

Papers from Saaid Achchab's perspective

Ordered by how strongly the researchers Saaid Achchab 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. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A hybrid Deep belief network approach for Financial distress prediction (2015) — 17 citations