Rodney A. Gabriel

J. Am. Medical Informatics Assoc. · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Rodney A. Gabriel trusts overall

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

1. Balaji Lakshminarayanan
2. J. Platt

Who trusts Rodney A. Gabriel overall

1. Katherine Lee
2. Dhruv Madeka
3. Ruofeng Wen

Papers from Rodney A. Gabriel's perspective

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

1. On Calibration of Modern Neural Networks
2. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
3. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
4. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
5. Predicting good probabilities with supervised learning
6. Obtaining Well Calibrated Probabilities Using Bayesian Binning
7. Applied Logistic Regression: Hosmer/Applied Logistic Regression
8. Learning Bayesian networks: The combination of knowledge and statistical data
9. A Simple Baseline for Bayesian Uncertainty in Deep Learning
10. Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples

Their papers

• Identifying and characterizing highly similar notes in big clinical note datasets (2018) — 31 citations
• A tutorial on calibration measurements and calibration models for clinical prediction models (2020) — 409 citations
• Predicting Surgery Duration with Neural Heteroscedastic Regression (2017) — 29 citations