Jan Graßhoff

Orcid: 0000-0002-6528-0950

According to our database1, Jan Graßhoff authored at least 18 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A switching lung mechanics model for detection of expiratory flow limitation.
Autom., May, 2024

2023
Model-Based Estimation of Inspiratory Effort Using Surface EMG.
IEEE Trans. Biomed. Eng., 2023

Uncertainty Analysis of Deep Kernel Learning Methods on Diabetic Retinopathy Grading.
IEEE Access, 2023

2022
Multi-Task Gaussian Process Regression for the Detection of Sleep Cycles in Premature Infants.
Proceedings of the IEEE International Conference on Acoustics, 2022

Probabilistic Ultra-Wideband TDoA Localization with Bias Correction.
Proceedings of the 30th European Signal Processing Conference, 2022

Comfortable Body Surface Potential Mapping by Means of a Dry Electrode Belt.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Muscle Artifact Removal in Single-Channel Electrocardiograms using Temporal Convolutional Networks.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Recursively Feasible Model Predictive Control using Latent Force Models Applied to Disturbed Quadcopters.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Probabilistic model-based fault diagnosis for the cavities of the European XFEL.
Autom., 2021

Iterative Gaussian Process Model Predictive Control with Application to Physiological Control Systems<sup>*</sup>.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

A Hybrid Factor Graph Model for Biomedical Activity Detection.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms.
IEEE Access, 2020

Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Scalable Gaussian Process Regression for Kernels with a Non-Stationary Phase.
CoRR, 2019

Automatic Estimation of Respiratory Effort using Esophageal Pressure.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Model Predictive Control using Efficient Gaussian Processes for Unknown Disturbance Inputs.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2017
A template subtraction method for the removal of cardiogenic oscillations on esophageal pressure signals.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2014
Kalman Filter-Based Head Tracking for Cranial Radiation Therapy with Low-Cost Range-Imaging Cameras.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014


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