7 citations · 10 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2021★ 3 cited
Self-supervised learning for fast and scalable time series hyper-parameter tuning
Peiyi Zhang, Xiaodong Jiang, Ginger M Holt +4
Hyper-parameters of time series models play an important role in time series analysis. Slight differences in hyper-parameters might lead to very different forecast results for a gi…