research
∙
08/19/2023
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
As modern software systems continue to grow in terms of complexity and v...
share
research
∙
08/15/2023
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems
Ensuring the reliability of cloud systems is critical for both cloud ven...
research
∙
07/20/2023
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection
Performance issues permeate large-scale cloud service systems, which can...
research
∙
06/08/2023
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop
System logs play a critical role in maintaining the reliability of softw...
research
∙
06/12/2019
Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach
Providing an accurate and efficient assessment of operative difficulty i...
research
∙
11/05/2018
Reinforcement Learning based Dynamic Model Selection for Short-Term Load Forecasting
With the growing prevalence of smart grid technology, short-term load fo...
research
∙
05/10/2018
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending
Solar forecasting accuracy is affected by weather conditions, and weathe...
research
∙
03/09/2018
