Zineb Lanbouri

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 Zineb Lanbouri trusts overall

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

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

Who trusts Zineb Lanbouri overall

1. A. Ozbayoglu
2. M. Ugur Gudelek
3. Omer Berat Sezer

Papers from Zineb Lanbouri's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
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