Fima Macheret

J. Am. Medical Informatics Assoc. · 2020

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 Fima Macheret trusts overall

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

1. J. Platt

Papers from Fima Macheret's perspective

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

1. Predicting good probabilities with supervised learning
2. Applied Logistic Regression: Hosmer/Applied Logistic Regression
3. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
4. On Calibration of Modern Neural Networks
5. Obtaining Well Calibrated Probabilities Using Bayesian Binning
6. Learning Bayesian networks: The combination of knowledge and statistical data
7. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
8. A Simple Baseline for Bayesian Uncertainty in Deep Learning
9. Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
10. PresenceAbsence: An R Package for Presence Absence Analysis

Their papers

• A tutorial on calibration measurements and calibration models for clinical prediction models (2020) — 409 citations