Codie Bourn

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #32,633 of 35,345 by trust here, #18,186 by citations
• Cardiology and Cardiovascular Medicine — 11 citations into it; #677 of 906 by trust here, #207 by citations
• Optimization & Training — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 7 citations into it

Whom Codie Bourn trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Sergey Ioffe

Who trusts Codie Bourn overall

1. Eric J. Topol

Papers from Codie Bourn's perspective

Ordered by how strongly the researchers Codie Bourn 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Identity Mappings in Deep Residual Networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks (2017) — 873 citations
• Cardiologist-Level Arrhythmia Detection and Classification in Ambulatory Electrocardiograms Using a Deep Neural Network (2019) — 2,797 citations