Workshop Papers and Demonstrations
EasyAD: A Demonstration of Automated Solutions for Time-Series Anomaly Detection
Qinghua Liu, Seunghak Lee, and John Paparrizos
Proceedings of the VLDB Endowment (VLDB 2025) Journal, Demo track, Volume 18, pages 5431-5434
SAIL: A Voyage to Symbolic Approximation Solutions for Time-Series Analysis
Fan Yang and John Paparrizos
Proceedings of the VLDB Endowment (VLDB 2025) Journal, Demo track, Volume 18, pages 5419-5422
ShapX Engine: A Demonstration of Shapley Value Approximations
Suchit Gupte and John Paparrizos
2025 ACM SIGMOD International Conference on Management of Data (ACM SIGMOD 2025), pages 107-110
Beyond the Dimensions: A Structured Evaluation of Multivariate Time Series Distance Measures
Jens E d'Hondt, Odysseas Papapetrou and John Paparrizos
2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW), pages 107-112
Odyssey: An Engine Enabling The Time‐Series Clustering Journey
John Paparrizos and Teja Bogireddy
Proceedings of the VLDB Endowment (VLDB 2023) Journal, Demo track, Volume 16, pages 4066‐4069
Theseus: Navigating the Labyrinth of Time‑Series Anomaly Detection
Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, et al.
Proceedings of the VLDB Endowment (VLDB 2022) Journal, Demo track, Volume 15, pages 3702-3705
SAND in Action: Subsequence Anomaly Detection for Streams
Paul Boniol, John Paparrizos, Themis Palpanas, and Michael Franklin
Proceedings of the VLDB Endowment (VLDB 2021) Journal, Demo track, Volume 14, pages 2867‑2870
Advanced Search, Visualization, and Tagging of Sensor Metadata
John Paparrizos, Hoyoung Jeung, and Karl Aberer
27th IEEE International Conference on Data Engineering (IEEE ICDE 2011), Demo track, pages 1356‑1359