ir. Lorin Werthen-Brabants
- ORCID iD
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0000-0001-9976-1886
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Quantifying uncertainty and improving reliability of time-series based deep learning models
(2023) -
- Journal Article
- open access
Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction
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- Journal Article
- A1
- open access
Open-set patient activity recognition with radar sensors and deep learning
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- Conference Paper
- P1
- open access
Tailoring radar-based patient monitoring models to real-life needs using utility maximization
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Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study
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- Conference Paper
- C1
- open access
Convolutional neural networks for apnea detection from smartphone audio signals : effect of window size
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- Conference Paper
- P1
- open access
Quantifying uncertainty in real time with split BiRNN for radar human activity recognition
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- Journal Article
- A1
- open access
Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning
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- Journal Article
- A1
- open access
Split BiRNN for real-time activity recognition using radar and deep learning
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Patient activity recognition using radar sensors and machine learning