11 citations · 20 across the 3 of their papers we have counts for
4 papers
Using system context information to complement weakly labeled data
Matthias Meyer, Michaela Wenner, Clément Hibert +2
Real-world datasets collected with sensor networks often contain incomplete and uncertain labels as well as artefacts arising from the system environment. Complete and reliable lab…
Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge
Matthias Meyer, Timo Farei-Campagna, Akos Pasztor +7
In natural hazard warning systems fast decision making is vital to avoid catastrophes. Decision making at the edge of a wireless sensor network promises fast response times but is…
Unsupervised Feature Learning for Audio Analysis
Matthias Meyer, Jan Beutel, Lothar Thiele
Identifying acoustic events from a continuously streaming audio source is of interest for many applications including environmental monitoring for basic research. In this scenario…
Efficient Convolutional Neural Network For Audio Event Detection
Matthias Meyer, Lukas Cavigelli, Lothar Thiele
Wireless distributed systems as used in sensor networks, Internet-of-Things and cyber-physical systems, impose high requirements on resource efficiency. Advanced preprocessing and…