Abdelrahman Taha
Electrical and Electronic Engineering · 2019
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 21 citations into it; #2,345 of 16,539 by trust here, #6,657 by citations
- Aerospace Engineering — 12 citations into it; #1,260 of 6,421 by trust here, #1,815 by citations
- Signal Processing — 5 citations into it
Whom Abdelrahman Taha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ahmed Alkhateeb
- Joel A. Tropp
- Ertugrul Basar
- Yann LeCun
- Robert W. Heath
- Xiaofeng Li
- Yoshua Bengio
- Chongwen Huang
- Geoffrey E. Hinton
- Qurrat-Ul-Ain Nadeem
Who trusts Abdelrahman Taha overall
- M. Di Renzo
- Tobias Lindstrøm Jensen
- Beixiong Zheng
- Zhen-Qing He
- Changsheng You
- Ertugrul Basar
- Qingqing Wu
- Ying-Chang Liang
- Yuanwei Liu
- Rui Zhang
Papers from Abdelrahman Taha's perspective
Ordered by how strongly the researchers Abdelrahman Taha trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning (2019) — 737 citations