Andrew Nicolaides

Model Architectures · 2000–2019

A researcher in the Science corpus: 6 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 19 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Andrew Nicolaides trusts overall

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

1. Teuvo Kohonen

Who trusts Andrew Nicolaides overall

1. J. Chiu
2. Shu Chien
3. John Allen
4. C. Loizou
5. Erico Tjoa
6. Mohamed Elgendi
7. Guang Yang

Papers from Andrew Nicolaides's perspective

Ordered by how strongly the researchers Andrew Nicolaides 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. Going deeper with convolutions
3. This PDF file includes: Materials and Methods
4. A Fast Learning Algorithm for Deep Belief Nets
5. Rethinking the Inception Architecture for Computer Vision
6. Fully convolutional networks for semantic segmentation
7. Deep Learning
8. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
9. Information processing in dynamical systems: foundations of harmony theory
10. A Survey on Transfer Learning

Their papers

• Texture-based classification of atherosclerotic carotid plaques (2003) — 335 citations
• Integrating Machine Learning with Symbolic Reasoning to Build an Explainable AI Model for Stroke Prediction (2019) — 47 citations
• State-of-the-art review on deep learning in medical imaging. (2019) — 184 citations
• The present and future of deep learning in radiology. (2019) — 313 citations
• Chronic venous disease. (2006) — 968 citations
• Investigation of chronic venous insufficiency: A consensus statement (France, March 5-9, 1997). (2000) — 906 citations