Sarah Alnegheimish

AER: Auto-Encoder with Regression for Time Series Anomaly Detection

Dongyu Liu, Laure Berti‐Équille, Sarah Alnegheimish et al. · 2022 IEEE International Conference on Big Data (Big Data) · 2022 · 31 citations · Full text

Aer Architecture, Anomaly Detection, Machine Learning +15

MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series

Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek et al. · Proceedings of the ACM on Human-Computer Interaction · 2022 · 25 citations · Full text

Anomaly Detection, Machine Learning, Engineering +20

Can Large Language Models be Anomaly Detectors for Time Series?

Sarah Alnegheimish, Linh Nguyen, Laure Berti‐Équille et al. · 2024 · 22 citations

Sintel: A Machine Learning Framework to Extract Insights from Signals

Sarah Alnegheimish, Dongyu Liu, Carles Sala et al. · Proceedings of the 2022 International Conference on Management of Data · 2022 · 20 citations · Full text

Anomaly Detection, Machine Learning, Engineering +19

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Alexander Geiger, Dongyu Liu, Sarah Alnegheimish et al. · 2020 · 18 citations · Full text

Anomaly Detection, Machine Learning, Data Science +12