1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Interpreting deep learning output for out-of-distribution detection
Damian Matuszewski, Ida-Maria Sintorn
Commonly used AI networks are very self-confident in their predictions, even when the evidence for a certain decision is dubious. The investigation of a deep learning model output…
cs.DC2019★ 1 cited
Resource- and Message Size-Aware Scheduling of Stream Processing at the Edge with application to Realtime Microscopy
Ben Blamey, Ida-Maria Sintorn, Andreas Hellander +1
Whilst computational resources at the cloud edge can be leveraged to improve latency and reduce the costs of cloud services for a wide variety mobile, web, and IoT applications; su…