Farzad Pour Rahimian

Building and Construction · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Building and Construction — 13 citations into it
• Electrical and Electronic Engineering — 13 citations into it
• Artificial Intelligence — 9 citations into it

Whom Farzad Pour Rahimian trusts overall

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

1. Soteris A. Kalogirou
2. M. Jeong
3. Felix Alexander Gers
4. Emmanuèle Grosicki

Papers from Farzad Pour Rahimian's perspective

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

1. Recurrent nets that time and count
2. Development and Validation of the
3. A weighted linear prediction method for near-field source localization (IEEE Transactions on Signal Processing)
4. Applications of artificial neural-networks for energy systems
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet classification with deep convolutional neural networks
10. Learning long-term dependencies with gradient descent is difficult

Their papers

• Machine learning for estimation of building energy consumption and performance: a review (2018) — 431 citations