Amir Yaghoubi Shahir

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 Amir Yaghoubi Shahir trusts

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

1. G. Zhang (in Artificial Intelligence)
2. Theresa L. Utlaut (in Signal Processing)

Papers from Amir Yaghoubi Shahir's perspective

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

1. This PDF file includes: Materials and Methods
2. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
3. Recurrent Neural Network Regularization
4. Learning representations by back-propagating errors
5. Learning long-term dependencies with gradient descent is difficult
6. Reducing the Dimensionality of Data with Neural
7. Multimodal Deep Learning
8. Learning to Forget: Continual Prediction with LSTM
9. Supervised Sequence Labelling with Recurrent Neural Networks
10. The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training

Their papers

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