12 citations · 21 across the 5 of their papers we have counts for
4 papers · 1 filter
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data
Mulugeta Weldezgina Asres, Christian Walter Omlin, The CMS-HCAL Collaboration
Extracting anomaly causality facilitates diagnostics once monitoring systems detect system faults. Identifying anomaly causes in large systems involves investigating a broader set…
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy Versus Performance
Mulugeta Weldezgina Asres, Lei Jiao, Christian Walter Omlin
Recent advancements in artificial intelligence hold ample potential for monitoring applications using surveillance cameras. However, concerns about privacy and model bias have made…
Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection
Mulugeta Weldezgina Asres, Christian Walter Omlin, Long Wang +4
The proliferation of sensors brings an immense volume of spatio-temporal (ST) data in many domains, including monitoring, diagnostics, and prognostics applications. Data curation i…
Lightweight Multi-System Multivariate Interconnection and Divergence Discovery
Mulugeta Weldezgina Asres, Christian Walter Omlin, Jay Dittmann +5
Identifying outlier behavior among sensors and subsystems is essential for discovering faults and facilitating diagnostics in large systems. At the same time, exploring large syste…