Eyad Elyan

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 3 papers; trusts 130 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 65 citations into it
• Reinforcement Learning — 36 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Control and Systems Engineering — 22 citations into it
• Cognitive Neuroscience — 11 citations into it
• Generative Models — 10 citations into it
• Biomedical Engineering — 9 citations into it
• Optimization & Training — 8 citations into it

Whom Eyad Elyan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Leo Breiman
4. Augustus Odena
5. Matthew D. Zeiler
6. Kaiming He
7. Jens Kober
8. Jan Peters
9. Yoshua Bengio
10. Ilya Sutskever

Who trusts Eyad Elyan overall

1. Yajun Chen

Papers from Eyad Elyan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Imitation Learning (2017) — 556 citations
• MFC-GAN: Class-imbalanced dataset classification using Multiple Fake Class Generative Adversarial Network (2019) — 176 citations
• Random forests: from early developments to recent advancements (2014) — 701 citations