Yahya H. Ezzeldin

Artificial Intelligence · 2021

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

Subfields

• Artificial Intelligence — 20 citations into it

Whom Yahya H. Ezzeldin trusts overall

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

1. Faisal Kamiran
2. H. Brendan McMahan
3. Tzu-Ming Harry Hsu
4. Nina Grgic-Hlaca
5. Frances Ding
6. Toon Calders
7. Moritz Hardt
8. Keith Bonawitz
9. Chaoyang He
10. Hang Qi

Who trusts Yahya H. Ezzeldin overall

1. Emilio Ferrara

Papers from Yahya H. Ezzeldin's perspective

Ordered by how strongly the researchers Yahya H. Ezzeldin 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. ImageNet: A large-scale hierarchical image database
5. Communication-Efficient Learning of Deep Networks from Decentralized Data
6. Learning Multiple Layers of Features from Tiny Images
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• FairFed: Enabling Group Fairness in Federated Learning (2021) — 324 citations