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Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data
To improve the predictive performance and reliability of the models, early and late sensor fusion methods are explored in this work.
Generating an Explainable ECG Beat Space With Variational Auto-Encoders
Electrocardiogram signals are omnipresent in medicine.
Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty
When approximating a black-box function, sampling with active learning focussing on regions with non-linear responses tends to improve accuracy.
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations
A novel efficient method for computing the Knowledge-Gradient policy for Continuous Parameters (KGCP) for deterministic optimization is derived.
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