Michael C. Hughes

Artificial Intelligence · with Berner · 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.

Subfields

• Artificial Intelligence — 17 citations into it
• Medical & Health AI — 5 citations into it

Whom Michael C. Hughes trusts

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

1. Olivier Bodenreider (in Artificial Intelligence)

Papers from Michael C. Hughes's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Long Short-Term Memory
3. Representation Learning: A Review and New Perspectives
4. Automatic differentiation in PyTorch
5. Scikit-learn: Machine Learning in Python
6. Random Search for Hyper-Parameter Optimization
7. Analysis of a complex of statistical variables into principal components.
8. MIMIC-III, a freely accessible critical care database
9. Recurrent Neural Networks for Multivariate Time Series with Missing Values
10. The Unified Medical Language System (UMLS): integrating biomedical terminology

Their papers

• Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks (2019) — 131 citations