Mohammad R. Hayajneh

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 78 citations into it
• Computer Networks and Communications — 28 citations into it
• Federated & Distributed Learning — 23 citations into it
• Electrical and Electronic Engineering — 21 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Optimization & Training — 11 citations into it

Whom Mohammad R. Hayajneh trusts overall

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

1. J. Urgen Schmidhuber
2. Kaiming He
3. Sebastian U. Stich
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. H. Brendan McMahan
7. Yoshua Bengio
8. Yann LeCun
9. Ilya Sutskever
10. Takayuki Nishio

Papers from Mohammad R. Hayajneh's perspective

Ordered by how strongly the researchers Mohammad R. Hayajneh 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Federated Learning in Edge Computing: A Systematic Survey (2022) — 303 citations