K. Hasegawa

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 K. Hasegawa trusts

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

1. Robert Tibshirani (in Optimization & Training)

Papers from K. Hasegawa's perspective

Ordered by how strongly the researchers K. Hasegawa 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. GENERATIVE ADVERSARIAL NETS
6. Pattern Recognition and Machine Learning
7. Classification and regression trees
8. Random Forests
9. ImageNet: A large-scale hierarchical image database
10. Why Does Unsupervised Pre-training Help Deep Learning?

Their papers

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