Ehsan Farahbakhsh

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Ecology — 5 citations into it
• Environmental Engineering — 5 citations into it
• Media Technology — 5 citations into it

Whom Ehsan Farahbakhsh trusts overall

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

1. J. Urgen Schmidhuber
2. Yann LeCun
3. Leo Breiman
4. S. Kotsiantis
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Ian J. Goodfellow
8. C. Fernández
9. Matthew J. Cracknell
10. Yanyan Song

Papers from Ehsan Farahbakhsh's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A review of machine learning in processing remote sensing data for mineral exploration (2021) — 358 citations