activity
20172020
most citedUnsupervised Feature Learning for Audio Analysis

9 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2020

Decentralized Privacy-Preserving Proximity Tracing

Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux +31

This document describes and analyzes a system for secure and privacy-preserving proximity tracing at large scale. This system, referred to as DP3T, provides a technological foundat…

physics.geo-ph2018

Co-detection of micro seismic activity as early warning of gravitational slope failure

Jerome Faillettaz, Martin Funk, Jan Beutel +1

We developed a new strategy for Disaster Risk Reduction for gravitational slope failure: We propose a simple method for real-time early warning of gravity-driven failures that cons…

cs.LG2018

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…

cs.CV2017★ 9 cited

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…

cs.NI2017★ 1 cited

TTW: A Time-Triggered-Wireless Design for CPS [ Extended version ]

Romain Jacob, Licong Zhang, Marco Zimmerling +3

Wired field buses have proved their effectiveness to support Cyber-Physical Systems (CPS). However, in avionics, for ease of deployment, or for new functionality featuring mobile d…