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Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification
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- Journal Article
- A1
- open access
Statistical modeling of frequency responses using linear Bayesian vector fitting
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- Journal Article
- A1
- open access
Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning
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- Conference Paper
- C1
- open access
A Bayesian optimisation procedure for estimating optimal trajectories in electromagnetic compliance testing
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- Journal Article
- A1
- open access
A voltage and current measurement dataset for plug load appliance identification in households
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- Conference Paper
- C1
- open access
Interpretable epilepsy detection in routine, interictal EEG data using deep learning
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- Conference Paper
- C1
- open access
Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data
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- Conference Paper
- C1
- open access
Evaluation of generative modeling techniques for frequency responses
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Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks
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Machine-learning-based error detection and design optimization in signal integrity applications
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- Conference Paper
- C1
- open access
SEGOLS : a line-based sequential sampling strategy for efficient design space exploration and optimization
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- Journal Article
- A1
- open access
Generation of stochastic interconnect responses via gaussian process latent variable models
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- Journal Article
- A1
- open access
Adaptive frequency sampling using linear Bayesian vector fitting
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- Journal Article
- A1
- open access
Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks
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- Conference Paper
- P1
- open access
A Bayesian approach to adaptive frequency sampling
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- Conference Paper
- P1
- open access
Efficient time-domain modeling and simulation of passive bandpass systems
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Learning to forget : design of experiments for line-based Bayesian optimization in dynamic environments
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- Conference Paper
- P1
- open access
Interpretable ECG beat embedding using disentangled variational auto-encoders
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Transferability of deep learning based sleep apnea detection models
(2019) -
Bayesian optimization of MRI k-Space trajectories
(2019)