prof. dr. Dirk Deschrijver
- ORCID iD
- 0000-0001-6600-1792
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Transfer learning for anomaly detection using bearings' vibration signals
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Wideband complex vector fitting for modeling time delay variations in passive photonic filters
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- Conference Paper
- C1
- open access
Comparator model for detecting changes in the ease of breathing of COPD patients
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- Journal Article
- A1
- open access
Modeling electrically long interconnects using physics-informed delayed gaussian processes
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- Journal Article
- A1
- open access
Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction
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- Conference Paper
- P1
- open access
Modeling S-parameters of interconnects using periodic Gaussian process kernels
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- Journal Article
- A1
- open access
Bayesian optimization for microwave devices using deep GP spectral surrogate models
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Machine-learning-based prediction of disability progression in multiple sclerosis : an observational, international, multi-center study
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- Journal Article
- A1
- open access
Bayesian active learning for received signal strength-based visible light positioning
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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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S-parameter modeling and optimization using deep Gaussian processes
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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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Bayesian active learning for radiation pattern sampling over cylindrical surfaces
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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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- Journal Article
- A1
- open access
A semi-supervised approach with monotonic constraints for improved remaining useful life estimation
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- Journal Article
- A1
- open access
Complex vector fitting toolbox : a software package for the modelling and simulation of general linear and passive baseband systems
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- Book Editor
- open access
Improving energy efficiency through data-driven modeling, simulation and optimization
Dirk Deschrijver (UGent)(2021) -
- Journal Article
- A1
- open access
Bayesian active learning for multi-objective feasible region identification in microwave devices
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Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification