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Bayesian Modelling in Practice: Using Uncertainty to Improve
  Trustworthiness in Medical Applications

Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications

20 June 2019
David Ruhe
Giovanni Cina
Michele Tonutti
D. D. Bruin
Paul Elbers
    OOD
ArXivPDFHTML

Papers citing "Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications"

4 / 4 papers shown
Title
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the
  Impact of Method & Data Scarcity
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
Dennis Ulmer
J. Frellsen
Christian Hardmeier
200
22
0
20 Oct 2022
On Calibrated Model Uncertainty in Deep Learning
On Calibrated Model Uncertainty in Deep Learning
Biraja Ghoshal
A. Tucker
UQCV
MedIm
30
10
0
15 Jun 2022
Forget-SVGD: Particle-Based Bayesian Federated Unlearning
Forget-SVGD: Particle-Based Bayesian Federated Unlearning
J. Gong
Osvaldo Simeone
Rahif Kassab
Joonhyuk Kang
FedML
MU
29
23
0
23 Nov 2021
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD
  Detection On Medical Tabular Data
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data
Dennis Ulmer
L. Meijerink
Giovanni Cina
OOD
13
64
0
06 Nov 2020
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