T. Goto

Critical Care · with Brown · 2019

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 T. Goto trusts overall

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

1. Robert Tibshirani
2. Diederik P. Kingma
3. Alexey Natekin

Papers from T. Goto's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Gradient boosting machines, a tutorial (Front. Neurorobot.)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet classification with deep convolutional neural networks
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Emergency department triage prediction of clinical outcomes using machine learning models (2019) — 432 citations