Amany M. Sarhan
Artificial Intelligence · 2021–2023
A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Optimization & Training — 24 citations into it
- Radiology, Nuclear Medicine and Imaging — 23 citations into it
Whom Amany M. Sarhan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Kaiming He
- Matthew D. Zeiler
- James Martens
- Ilya Sutskever
- Jimmy Ba
Papers from Amany M. Sarhan's perspective
Ordered by how strongly the researchers Amany M. Sarhan 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A modified Adam algorithm for deep neural network optimization (2023) — 483 citations
- Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases (2021) — 367 citations