most citedMOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection

7 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SE2026

Making Deployments Safe at Meta: Health Checks for Continuous Change-Safety

Prakash KL, Anton Korenkov, Uttam Thakore +1

Continuous deployment to large scale production systems creates a tension between release velocity and reliability. Every change is a potential reliability incident, yet every dela…

cs.LG2022★ 7 cited

MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection

Sourav Chatterjee, Rohan Bopardikar, Marius Guerard +2

Organizations leverage anomaly and changepoint detection algorithms to detect changes in user behavior or service availability and performance. Many off-the-shelf detection algorit…