Ayman M. Eldeib

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #24,514 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #15,131 of 21,575 by trust here, #19,310 by citations

Whom Ayman M. Eldeib trusts overall

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

1. Mehmet Fatih Akay
2. Geoffrey E. Hinton
3. Rudolf Kruse

Who trusts Ayman M. Eldeib overall

1. Aleksandra Dedinec
2. Weibo Liu

Papers from Ayman M. Eldeib's perspective

Ordered by how strongly the researchers Ayman M. Eldeib 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. A training algorithm for optimal margin classifiers
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

• Breast cancer classification using deep belief networks (2016) — 451 citations