Md Amir Hossain

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 11 citations into it

Whom Md Amir Hossain trusts

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

1. Shan Suthaharan (in Computer Vision and Pattern Recognition)

Papers from Md Amir Hossain's perspective

Ordered by how strongly the researchers Md Amir Hossain 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. Gradient-based learning applied to document recognition
3. ImageNet: A large-scale hierarchical image database
4. Rethinking the Inception Architecture for Computer Vision
5. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
6. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
7. Deep learning in neural networks: An overview
8. ImageNet classification with deep convolutional neural networks
9. Long Short-Term Memory
10. Image analysis and machine learning for detecting malaria (Translational Research: The Journal of Laboratory and Clinical Medicine)

Their papers

• Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images (2018) — 514 citations