John's

Regular Papers Short Papers Demonstrations Tutorials
Tutorials at Conferences and Journals

A Comprehensive Guide to Time-Series Anomaly Detection

John Paparrizos, Paul Boniol, Qinghua Liu, and Themis Palpanas

19th ACM International Conference on Web Search and Data Mining (WSDM 2026), pages 1363-1366

PDF Project Page
WSDM 2026

Advances in Time-Series Anomaly Detection: Algorithms, Benchmarks, and Evaluation Measures

John Paparrizos, Qinghua Liu, Paul Boniol, and Themis Palpanas

31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2025), Volume 2, pages 6151-6161

PDF Project Page
SIGKDD 2025

Time-Series Anomaly Detection: Overview and New Trends

Qinghua Liu, Paul Boniol, Themis Palpanas, and John Paparrizos

Proceedings of the VLDB Endowment (PVLDB 2024), Volume 17, Issue 12, pages 4229–4232

PDF Project Page
PVLDB 2024

An Interactive Dive into Time-Series Anomaly Detection

Paul Boniol, John Paparrizos, and Themis Palpanas

40th IEEE International Conference on Data Engineering (ICDE 2024), pages 5382–5386

PDF Project Page
ICDE 2024

New Trends in Time Series Anomaly Detection

Paul Boniol, John Paparrizos, and Themis Palpanas

26th International Conference on Extending Database Technology (EDBT 2023), pages 847–850

PDF Project Page
EDBT 2023