Laura J. Brattain

2018

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

Whom Laura J. Brattain trusts overall

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

1. Ron Kohavi
2. Radford M. Neal
3. Alex Krizhevsky
4. William Stafford Noble
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Yann LeCun

Who trusts Laura J. Brattain overall

1. Arvid Lundervold

Papers from Laura J. Brattain's perspective

Ordered by how strongly the researchers Laura J. Brattain trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Fully convolutional networks for semantic segmentation
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Machine Learning for Medical Ultrasound: Status, Methods, and Future Opportunities (2018) — 244 citations