Sadiq Hussain

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 164 citations into it
• Computer Vision and Pattern Recognition — 92 citations into it
• Probabilistic & Bayesian Methods — 54 citations into it

Whom Sadiq Hussain trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Radford M. Neal
4. Alex Krizhevsky
5. Yarin Gal
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Ruslan Salakhutdinov
10. Max Welling

Papers from Sadiq Hussain's perspective

Ordered by how strongly the researchers Sadiq Hussain 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• A review of Explainable Artificial Intelligence in healthcare (2024) — 452 citations
• Epileptic Seizures Detection Using Deep Learning Techniques: A Review (2020) — 385 citations
• A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (2020) — 2,678 citations