907 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Friedrich-Alexander-Universität Erlangen-NürnbergDE4 papers
- University of CambridgeGB4 papers
- High Energy Accelerator Research OrganizationJP3 papers
- Kyoto UniversityJP3 papers
- The University of OsakaJP3 papers
- The University of WinnipegCA3 papers
- TRIUMFCA3 papers
- University of British ColumbiaCA3 papers
- University of ManitobaCA3 papers
- University of SheffieldGB3 papers
- University of WürzburgDE3 papers
- European Organization for Nuclear ResearchCH2 papers
5 papers · 1 filter
Efficient Error-Tolerant Quantized Neural Network Accelerators
Giulio Gambardella, Johannes Kappauf, Michaela Blott +4
Neural Networks are currently one of the most widely deployed machine learning algorithms. In particular, Convolutional Neural Networks (CNNs), are gaining popularity and are evalu…
Effects of Depth Layer Switching between an Optical See-Through Head-Mounted Display and a Body-Proximate Display
Anna Eiberger, Per Ola Kristensson, Susanne Mayr +2
Optical see-through head-mounted displays (OST HMDs) typically display virtual content at a fixed focal distance while users need to integrate this information with real-world info…
Comparison of System Call Representations for Intrusion Detection
Sarah Wunderlich, Markus Ring, Dieter Landes +1
Over the years, artificial neural networks have been applied successfully in many areas including IT security. Yet, neural networks can only process continuous input data. This is…
A fast-switching magnet serving a spallation-driven ultracold neutron source
S. Ahmed, E. Altiere, T. Andalib +47
A fast-switching, high-repetition-rate magnet and power supply have been developed for and operated at TRIUMF, to deliver a proton beam to the new ultracold neutron (UCN) facility.…
A Survey of Network-based Intrusion Detection Data Sets
Markus Ring, Sarah Wunderlich, Deniz Scheuring +2
Labeled data sets are necessary to train and evaluate anomaly-based network intrusion detection systems. This work provides a focused literature survey of data sets for network-bas…