prof. dr. Dirk Deschrijver
Show
Sort by
-
- Conference Paper
- P1
- open access
Quantifying uncertainty in real time with split BiRNN for radar human activity recognition
-
S-parameter modeling and optimization using deep Gaussian processes
-
- Journal Article
- A1
- open access
Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning
-
Bayesian active learning for radiation pattern sampling over cylindrical surfaces
-
- Journal Article
- A1
- open access
Split BiRNN for real-time activity recognition using radar and deep learning
-
- Journal Article
- A1
- open access
A semi-supervised approach with monotonic constraints for improved remaining useful life estimation
-
- Journal Article
- A1
- open access
Complex vector fitting toolbox : a software package for the modelling and simulation of general linear and passive baseband systems
-
- 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
-
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification