Les R. Folio

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Model Architectures — 7 citations into it

Whom Les R. Folio trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yuri Boykov

Papers from Les R. Folio's perspective

Ordered by how strongly the researchers Les R. Folio trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Histograms of oriented gradients for human detection
5. Gradient-based learning applied to document recognition
6. Dropout: a simple way to prevent neural networks from overfitting
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Preparing Medical Imaging Data for Machine Learning (2020) — 891 citations
• Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays (2020) — 299 citations
• Dominant-Activating, Germline Mutations in Phosphoinositide 3-Kinase p110δ Cause T Cell Senescence and Human Immunodeficiency (2013) — 637 citations
• Automatic Tuberculosis Screening Using Chest Radiographs (2013) — 689 citations