Md Abdul Aowal

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Md Abdul Aowal trusts overall

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

1. Leo Breiman
2. Diederik P. Kingma
3. Stefan Jaeger
4. Geoffrey E. Hinton
5. Matthew D. Zeiler
6. Alex Krizhevsky
7. Sema Candemir
8. Nitish Srivastava
9. Jimmy Ba
10. Rob Fergus

Who trusts Md Abdul Aowal overall

1. Chunli Qin

Papers from Md Abdul Aowal's perspective

Ordered by how strongly the researchers Md Abdul Aowal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Dropout: a simple way to prevent neural networks from overfitting
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks (2017) — 207 citations