Resources

Sintel Research

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

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

Lawrence Wong, Dongyu Liu, Laure Berti-Equille, Sarah Alnegheimish, Kalyan Veeramachaneni

BigData IEEE International Conference on BigData, 2022. (to appear)

Download: [pdf] [bib] [code]

Sintel: A Machine Learning Framework to Extract Insights from Signals

Sintel: A Machine Learning Framework to Extract Insights from Signals

Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni

SIGMOD ACM SIGMOD/PODS International Conference on Management of Data, 2022

Download: [pdf] [bib] [code]

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

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

Dongyu Liu, Sarah Alnegheimish, Alexandra Zytek, Kalyan Veeramachaneni

CSCW The ACM Conference on Computer Supported Cooperative Work, 2022

Download: [pdf] [bib] [code] [video]

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Alexander Geiger, Dongyu Liu, Sarah Alnegheimish, Alfredo Cuesta-Infante, Kalyan Veeramachaneni

BigData IEEE International Conference on BigData, 2020

Download: [pdf] [bib] [talk] [code] [news] [blog] | 🏆 GitHub stars > 600