Shaikh Anowarul Fattah

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 5 citations into it

Whom Shaikh Anowarul Fattah trusts overall

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

1. François Chollet
2. Kaiming He

Papers from Shaikh Anowarul Fattah's perspective

Ordered by how strongly the researchers Shaikh Anowarul Fattah trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Xception: Deep Learning with Depthwise Separable Convolutions
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet Large Scale Visual Recognition Challenge
7. Going deeper with convolutions
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization (2020) — 365 citations