Sameh Sorour
Artificial Intelligence · 2017–2020
A researcher in the Science corpus: 5 papers; trusts 283 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it; #11,965 of 35,345 by trust here, #12,387 by citations
- Computer Vision and Pattern Recognition — 90 citations into it; #13,283 of 21,575 by trust here, #20,756 by citations
- Computer Networks and Communications — 64 citations into it; #2,035 of 9,886 by trust here, #1,992 by citations
- Electrical and Electronic Engineering — 53 citations into it
- Signal Processing — 21 citations into it
- Model Architectures — 19 citations into it
- Building and Construction — 15 citations into it; #1,139 of 2,909 by trust here, #824 by citations
- Biomedical Engineering — 14 citations into it
Whom Sameh Sorour trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Yoshua Bengio
- Alex Krizhevsky
- Geoffrey E. Hinton
- L. Eon Bottou
- Kaiming He
- Ilya Sutskever
- Umair Yaqub
- Diederik P. Kingma
- Shiqiang Wang
Who trusts Sameh Sorour overall
Papers from Sameh Sorour's perspective
Ordered by how strongly the researchers Sameh Sorour trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Task Allocation for Mobile Federated and Offloaded Learning with Energy and Delay Constraints (2020) — 11 citations
- Adaptive Task Allocation for Asynchronous Federated Mobile Edge Learning (2019) — 17 citations
- Adaptive Task Allocation for Mobile Edge Learning (2018) — 33 citations
- Multi-Objective Resource Optimization for Hierarchical Mobile Edge Computing (2018) — 15 citations
- Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017) — 1,196 citations