Clemens Elster

According to our database1, Clemens Elster authored at least 27 papers between 1997 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Explainability for deep learning in mammography image quality assessment.
Mach. Learn. Sci. Technol., 2022

Assessment of sub-sampling schemes for compressive nano-FTIR imaging.
CoRR, 2022

Generative models and Bayesian inversion using Laplace approximation.
CoRR, 2022

2021
A framework for benchmarking uncertainty in deep regression.
CoRR, 2021

Deep Ensembles from a Bayesian Perspective.
CoRR, 2021

Errors-in-Variables for deep learning: rethinking aleatoric uncertainty.
CoRR, 2021

Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements.
CoRR, 2021

Detecting unusual input to neural networks.
Appl. Intell., 2021

2020
Mammography Image Quality Assurance Using Deep Learning.
IEEE Trans. Biomed. Eng., 2020

Inspecting adversarial examples using the fisher information.
Neurocomputing, 2020

Deep Neural Networks for Computational Optical Form Measurements.
CoRR, 2020

2019
Large-Scale Bayesian Spatial-Temporal Regression with Application to Cardiac MR-Perfusion Imaging.
SIAM J. Imaging Sci., 2019

2018
Assessment of CT Image Quality Using a Bayesian Framework.
IEEE Trans. Medical Imaging, 2018

Reducing sample size by tightening test conditions.
Qual. Reliab. Eng. Int., 2018

2017
A Large-Scale Optimization Method Using a Sparse Approximation of the Hessian for Magnetic Resonance Fingerprinting.
SIAM J. Imaging Sci., 2017

Bayesian inference using a noninformative prior for linear Gaussian random coefficient regression with inhomogeneous within-class variances.
Comput. Stat., 2017

2016
On the evaluation of uncertainties for state estimation with the Kalman filter.
CoRR, 2016

2012
Analysis of Key Comparisons Incorporating Knowledge About Bias.
IEEE Trans. Instrum. Meas., 2012

On the choice of a noninformative prior for Bayesian inference of discretized normal observations.
Comput. Stat., 2012

2010
Dynamic Uncertainty for Compensated Second-Order Systems.
Sensors, 2010

Noise Adjusted PCA for Finding the Subspace of Evoked Dependent Signals from MEG Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Determination of the Complex Residual Error Parameters of a Calibrated One-Port Vector Network Analyzer.
IEEE Trans. Instrum. Meas., 2009

Non-independent BSS: A Model for Evoked MEG Signals with Controllable Dependencies.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2007
Verification of humans using the electrocardiogram.
Pattern Recognit. Lett., 2007

2005
Diameter determination of Avogadro Spheres #1 and #2.
IEEE Trans. Instrum. Meas., 2005

2004
Systematic latency variation of the auditory evoked M100: from average to single-trial data.
NeuroImage, 2004

1997
A Method of Trust Region Type for Minimizing Noisy Functions.
Computing, 1997


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