Muhammad Hussain

Artificial Intelligence · with Aboalsamh · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Signal Processing — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Muhammad Hussain trusts overall

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

1. Yann LeCun
2. Ali H. Shoeb
3. Alex Krizhevsky
4. Karen Simonyan
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Ilya Sutskever
8. Zhicheng Cui
9. Andrew Zisserman
10. L. Eon Bottou

Who trusts Muhammad Hussain overall

1. Alexander Craik
2. Shivarudhrappa Raghu

Papers from Muhammad Hussain's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach (2018) — 551 citations