Cara O'Brien

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Cara O'Brien trusts overall

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

1. Gary B. Smith
2. Peter C. Austin

Papers from Cara O'Brien's perspective

Ordered by how strongly the researchers Cara O'Brien trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. A Recurrent Latent Variable Model for Sequential Data
5. The mythos of model interpretability
6. Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
7. Recurrent Neural Networks for Multivariate Time Series with Missing Values
8. Model Cards for Model Reporting
9. A targeted real-time early warning score (TREWScore) for septic shock
10. Dissecting racial bias in an algorithm used to manage the health of populations

Their papers

• An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection (2017) — 142 citations
• Development, Implementation, and Evaluation of an In-Hospital Optimized Early Warning Score for Patient Deterioration (2020) — 32 citations
• "The human body is a black box": supporting clinical decision-making with deep learning (2019) — 220 citations
• Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks (2018) — 22 citations