352 citations · 991 across the 14 of their papers we have counts for
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cs.LG2019★ 139 cited
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
Mathias Kraus, Stefan Feuerriegel
Predicting the remaining useful life of machinery, infrastructure, or other equipment can facilitate preemptive maintenance decisions, whereby a failure is prevented through timely…
cs.LG2019★ 23 cited
Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning
Martin Maritsch, Caterina Bérubé, Mathias Kraus +5
The reactions of the human body to physical exercise, psychophysiological stress and heart diseases are reflected in heart rate variability (HRV). Thus, continuous monitoring of HR…
cs.IR2019★ 11 cited
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
Mathias Kraus, Stefan Feuerriegel
Personalization in marketing aims at improving the shopping experience of customers by tailoring services to individuals. In order to achieve this, businesses must be able to make…