Search Results for author: Jesse Nyyssölä

Found 2 papers, 1 papers with code

Few-Shot Cross-System Anomaly Trace Classification for Microservice-based systems

no code implementations27 Mar 2024 Yuqing Wang, Mika V. Mäntylä, Serge Demeyer, Mutlu Beyazit, Joanna Kisaakye, Jesse Nyyssölä

Within the same MSS, our framework achieves an average accuracy of 93. 26\% and 85. 2\% across 50 meta-testing tasks for Trainticket and OnlineBoutique, respectively, when provided with 10 instances for each task.

Anomaly Detection Few-Shot Learning

LogLead -- Fast and Integrated Log Loader, Enhancer, and Anomaly Detector

1 code implementation20 Nov 2023 Mika Mäntylä, Yuqing Wang, Jesse Nyyssölä

By integrating diverse datasets, log representation methods and anomaly detectors, LogLead facilitates comprehensive benchmarking in log analysis research.

Anomaly Detection Benchmarking

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