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The role of trustworthy and reliable AI for multiple sclerosis
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- Journal Article
- A1
- open access
Deep learning-based event counting for apnea-hypopnea index estimation using recursive spiking neural networks
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Interpretable machine learning models for COPD ease of breathing estimation
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- Journal Article
- A1
- open access
KARMA : kernel-aided rational macromodeling of noisy electrical frequency response data
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- Conference Paper
- P1
- open access
Bayesian optimization of microwave filters : a physics-informed approach using the Szegö kernel
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Augmentation-free longitudinal modeling through structuring whitened embeddings
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- Journal Article
- A1
- open access
Spectral bayesian optimization using a physics-informed rational Szego kernel for microwave design
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Wavelength-tunable equivalent circuit models for SPICE-based photonic-electronic co-simulation
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- Conference Paper
- C1
- open access
CSD-AFNet : computationally efficient atrial fibrillation classification from ECGs using 2D causal strided dilated convolutions
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- Journal Article
- A2
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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
Unsupervised transfer learning across different data modalities for bearing's speed identification
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- Conference Paper
- P1
- open access
Improving features for multiple sclerosis disability progression prediction through temporal alignment of hospital visits
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- Conference Paper
- P1
- open access
Modeling microwave S-parameters using frequency-scaled rational Gaussian process kernels
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- Journal Article
- A1
- open access
ECGencode : compact and computationally efficient deep learning feature encoder for ECG signals
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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
Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction
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Wideband complex vector fitting for modeling time delay variations in passive photonic filters
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- Journal Article
- A2
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On the role of Bayesian learning for electronic design automation : a survey
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- Journal Article
- A1
- open access
Transfer learning for anomaly detection using bearings' vibration signals
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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
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Bayesian optimization for microwave devices using deep GP spectral surrogate models
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- Conference Paper
- C1
- open access
Modeling and co-simulation framework for multi-wavelength photonic integrated circuits : a wideband complex vector fitting approach
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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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Bayesian active learning for radiation pattern sampling over cylindrical surfaces
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S-parameter modeling and optimization using deep Gaussian processes
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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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- Conference Paper
- C1
- open access
Convolutional neural networks for apnea detection from smartphone audio signals : effect of window size
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- Journal Article
- A1
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Bayesian active learning for received signal strength-based visible light positioning
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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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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
A semi-supervised approach with monotonic constraints for improved remaining useful life estimation
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- Journal Article
- A1
- open access
Anomaly detection and event mining in cold forming manufacturing processes
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- Miscellaneous
- open access
Special issue : 'improving energy efficiency through data-driven modeling, simulation and optimization'
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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
Bayesian active learning for multi-objective feasible region identification in microwave devices
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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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- 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
Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning
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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
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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- 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
Adaptive frequency sampling using linear Bayesian vector fitting
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- Journal Article
- A1
- open access
Bayesian cylindrical data modeling using Abe-Ley mixtures
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Machine learning based error detection in transient susceptibility tests
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- Journal Article
- A1
- open access
Generation of stochastic interconnect responses via gaussian process latent variable models
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Detection of unidentified appliances in non-intrusive load monitoring using siamese neural networks
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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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Transferability of deep learning based sleep apnea detection models
(2019) -
Bayesian optimization of MRI k-Space trajectories
(2019) -
ALBATROS : adaptive line-based sampling trajectories for sequential measurements
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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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Time-domain compact macromodeling of linear photonic circuits via complex vector fitting
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- Conference Paper
- C3
- open access
A study of early sepsis detection models based on multivariate medical time series
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- Conference Paper
- C3
- open access
Disentangled variational auto-encoders for explaining ECG beat embeddings
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- Conference Paper
- C3
- open access
Continuous exploitative measurement trajectories using Bayesian optimisation
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- Conference Paper
- P1
- open access
Efficient time-domain modeling and simulation of passive bandpass systems
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Gaining insight in wind turbine drivetrain dynamics by means of automatic operational modal analysis combined with machine learning algorithms
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Machine-learning-based error detection and design optimization in signal integrity applications
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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
Automated assessment of bone age using deep learning and Gaussian process regression
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- Journal Article
- A1
- open access
A generative modeling framework for statistical link analysis based on sparse data
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- Conference Paper
- P1
- open access
Systematic comparison of respiratory signals for the automated detection of sleep apnea
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- Conference Paper
- P1
- open access
VI-based appliance classification using aggregated power consumption data
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- Conference Paper
- P1
- open access
Modeling real-world flexibility of residential power consumption : exploring the cylindrical WeiSSVM distribution
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- Conference Paper
- C3
- open access
Learning Multivariate Shapelets with Multi-Layer Neural Networks
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- Journal Article
- A1
- open access
Appliance classification using VI trajectories and convolutional neural networks
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- Conference Paper
- P1
- open access
Autoencoding density-based anomaly detection for signal integrity applications
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- Conference Paper
- P1
- open access
Data-driven optimization of energy efficiency and comfort in an apartment
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- Journal Article
- A1
- open access
On the Bayesian optimization and robustness of event detection methods in NILM
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- Journal Article
- A1
- open access
Surrogate modeling based cognitive decision engine for optimization of WLAN performance
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- Journal Article
- A1
- open access
Comprehensive feature selection for appliance classification in NILM
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- Conference Paper
- P1
- open access
Optimized statistical test for event detection in non-intrusive load monitoring
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- Conference Paper
- P1
- open access
Automated classification of appliances using elliptical fourier descriptors
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Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-kriging surrogate models
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- Journal Article
- A1
- open access
Constrained multi-objective antenna design optimization using surrogates
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- Conference Paper
- P1
- open access
Handling imbalance in an extended PLAID
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- Journal Article
- A1
- open access
A sequential sampling strategy for adaptive classification of computationally expensive data
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- Conference Paper
- P1
- open access
A novel parametric macromodeling technique for electromagnetic structures with propagation delays
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- Conference Paper
- P1
- open access
Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design
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- Conference Paper
- C1
- open access
Active learning for approximation of expensive functions with normal distributed output uncertainty
(2016) p.1-3 -
Efficient identification of a multi-objective pareto front on a wireless experimentation facility
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- Conference Paper
- P1
- open access
Adaptive modeling and sampling methodologies for Internet of Things applications
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- Conference Paper
- C1
- open access
Cepstrum analysis applied on event detection in NILM
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- Journal Article
- A1
- open access
Data-driven design of intelligent wireless networks: an overview and tutorial
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- Journal Article
- A1
- open access
Adaptive classification under computational budget constraints using sequential data gathering
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- Journal Article
- A1
- open access
Building accurate radio environment maps from multi-fidelity spectrum sensing data
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Shape optimization of a cyclone separator using multi-objective surrogate-based optimization
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- Conference Paper
- C1
- open access
Event detection in NILM using Cepstrum smoothing
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- Conference Paper
- P1
- open access
Energy flexibility assessment of an industrial coldstore process
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Multipoint model order reduction for systems with delays
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Rational modeling of multivariate multi-fidelity data
(2016) p.1-11 -
Measurement-based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories
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- Journal Article
- A1
- open access
A fuzzy hybrid sequential design strategy for global surrogate modeling of high-dimensional computer experiments
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- Conference Paper
- P1
- open access
Constructing classifiers of expensive simulation-based data by sequential experimental design
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- Conference Paper
- C1
- open access
Surrogate-based fast peak mass-averaged SAR assessment