10 citations · 18 across the 4 of their papers we have counts for
5 papers
Restricting the Model, Missing the System: Measurement and Accountability in Offensive AI Governance
Michael A. Riegler, Michael Alexander Riegler, Inga Strümke +5
We show that the instruments used to measure AI offensive capability fail in two ways: (i) they overstate harm, and (ii) they credit the model with capability that belongs to the s…
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search
Felix Tempel, Inga Strümke, Espen Alexander F. Ihlen
This paper introduces AutoGCN, a generic Neural Architecture Search (NAS) algorithm for Human Activity Recognition (HAR) using Graph Convolution Networks (GCNs). HAR has gained att…
From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
Kimji N. Pellano, Inga Strümke, Espen Alexander F. Ihlen
The advancement of deep learning in human activity recognition (HAR) using 3D skeleton data is critical for applications in healthcare, security, sports, and human-computer interac…
Artificial Intelligence in Dry Eye Disease
Andrea M. Storås, Inga Strümke, Michael A. Riegler +7
Dry eye disease (DED) has a prevalence of between 5 and 50\%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnos…
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
Daniel Alvestad, Nikolai Fomin, Jörn Kersten +2
We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observa…