Richard James Maude

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 11 citations into it

Whom Richard James Maude trusts overall

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

1. Jennifer Waters

Papers from Richard James Maude's perspective

Ordered by how strongly the researchers Richard James Maude 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. Accuracy and precision in quantitative fluorescence microscopy (Journal of Cell Biology)
9. Analysis of infected blood cell images using morphological operators (Image and Vision Computing)
10. Image analysis and machine learning for detecting malaria (Translational Research: The Journal of Laboratory and Clinical Medicine)

Their papers

• Image analysis and machine learning for detecting malaria (2018) — 460 citations
• Pre-trained convolutional neural networks as feature extractors toward improved malaria parasite detection in thin blood smear images (2018) — 514 citations