Mohammad A. Tayebi

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Signal Processing — 5 citations into it

Whom Mohammad A. Tayebi trusts overall

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

1. G. Zhang
2. Theresa L. Utlaut

Papers from Mohammad A. Tayebi's perspective

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

1. This PDF file includes: Materials and Methods
2. Learning representations by back-propagating errors
3. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
4. Recurrent Neural Network Regularization
5. Learning long-term dependencies with gradient descent is difficult
6. ImageNet classification with deep convolutional neural networks
7. Long Short-Term Memory
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Deep Learning Based Forecasting of Critical Infrastructure Data (2017) — 18 citations