Samuel Budd

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Radiology, Nuclear Medicine and Imaging — 23 citations into it
• Medical Imaging — 8 citations into it

Whom Samuel Budd trusts overall

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

1. Yarin Gal
2. Burr Settles
3. Dana Angluin
4. Andrew McCallum
5. David D. Lewis
6. Guotai Wang
7. Zoubin Ghahramani
8. Mark P. Woodward
9. Bryce Goodman
10. Hamid R. Tizhoosh

Who trusts Samuel Budd overall

1. Pengzhen Ren
2. Yun Xiao

Papers from Samuel Budd's perspective

Ordered by how strongly the researchers Samuel Budd 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis (2019) — 617 citations