SAD: An Unsupervised System for Subsequence Anomaly Detection. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas (ICDE, 2020)

Automated Anomaly Detection in Large Sequences. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas (ICDE, 2020)

Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. - Paul Boniol; George Panagopoulos; Christos Xypolopoulos; Rajaa El Hamdani; David Restrepo Amariles; Michalis Vazirgiannis (NLLP@KDD, 2020)

Unsupervised Subsequence Anomaly Detection in Large Sequences. - Paul Boniol (PhD@VLDB, 2020)

Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. - Paul Boniol; Themis Palpanas (Proc. VLDB Endow., 2020)

GraphAn: Graph-based Subsequence Anomaly Detection. - Paul Boniol; Themis Palpanas; Mohammed Meftah; Emmanuel Remy (Proc. VLDB Endow., 2020)

SAND: Streaming Subsequence Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas; Michael J. Franklin (Proc. VLDB Endow., 2021)

SAND in Action: Subsequence Anomaly Detection for Streams. - Paul Boniol; John Paparrizos; Themis Palpanas; Michael J. Franklin (Proc. VLDB Endow., 2021)

Unsupervised and scalable subsequence anomaly detection in large data series. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas; Mohammed Meftah; Emmanuel Remy (VLDB J., 2021)

Detection of anomalies and identification of their precursors in large data series collections. (Détection d'anomalies et identification de leurs précurseurs dans des grandes collections de séries temporelles). - Paul Boniol (2021)

dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. - Paul Boniol; Mohammed Meftah; Emmanuel Remy; Themis Palpanas (SIGMOD Conference, 2022)

Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. - Paul Boniol; John Paparrizos; Yuhao Kang; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin (Proc. VLDB Endow., 2022)

Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. - John Paparrizos; Paul Boniol; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin (Proc. VLDB Endow., 2022)

TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. - John Paparrizos; Yuhao Kang; Paul Boniol; Ruey S. Tsay; Themis Palpanas; Michael J. Franklin (Proc. VLDB Endow., 2022)

New Trends in Time Series Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas (EDBT, 2023)

Appliance Detection Using Very Low-Frequency Smart Meter Time Series. - Adrien Petralia; Philippe Charpentier; Paul Boniol; Themis Palpanas (e-Energy, 2023)

Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. - Emmanouil Sylligardos; Paul Boniol; John Paparrizos; Panos E. Trahanias; Themis Palpanas (Proc. VLDB Endow., 2023)

Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. - Paul Boniol; Michele Linardi; Federico Roncallo; Themis Palpanas; Mohammed Meftah; Emmanuel Remy (VLDB J., 2023)

An Interactive Dive into Time-Series Anomaly Detection. - Paul Boniol; John Paparrizos; Themis Palpanas (ICDE, 2024)

ADecimo: Model Selection for Time Series Anomaly Detection. - Paul Boniol; Emmanouil Sylligardos; John Paparrizos; Panos E. Trahanias; Themis Palpanas (ICDE, 2024)

dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. - Sylvain W. Combettes; Paul Boniol; Charles Truong; Laurent Oudre (ICDE, 2024)

Dive into Time-Series Anomaly Detection: A Decade Review. - Paul Boniol; Qinghua Liu; Mingyi Huang; Themis Palpanas; John Paparrizos (CoRR, 2024)

Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. - Sylvain W. Combettes; Paul Boniol; Antoine Mazarguil; Danping Wang; Diego Vaquero-Ramos; Marion Chauveau; Laurent Oudre; Nicolas Vayatis; Pierre-Paul Vidal; Alexandra Roren; Marie-Martine Lefèvre-Colau (Image Process. Line, 2024)

Time-Series Anomaly Detection: Overview and New Trends. - Qinghua Liu; Paul Boniol; Themis Palpanas; John Paparrizos (Proc. VLDB Endow., 2024)

Graphint: Graph-Based Time Series Clustering Visualisation Tool. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (ICDE, 2025)

Few Labels are All you Need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series. - Adrien Petralia; Paul Boniol; Philippe Charpentier; Themis Palpanas (ICDE, 2025)

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. - Adrien Petralia; Paul Boniol; Philippe Charpentier; Themis Palpanas (ICDE, 2025)

k-Graph: A Graph Embedding for Interpretable Time Series Clustering. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (CoRR, 2025)

VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection. - Paul Boniol; Ashwin K. Krishna; Marine Bruel; Qinghua Liu; Mingyi Huang; Themis Palpanas; Ruey S. Tsay; Aaron J. Elmore; Michael J. Franklin; John Paparrizos (CoRR, 2025)

Time Series Motif Discovery: A Comprehensive Evaluation. - Valerio Guerrini; Thibaut Germain; Charles Truong; Laurent Oudre; Paul Boniol (Proc. VLDB Endow., 2025)

-Graph: A Graph Embedding for Interpretable Time Series Clustering. - Paul Boniol; Donato Tiano; Angela Bonifati; Themis Palpanas (IEEE Trans. Knowl. Data Eng., 2025)

VUS: effective and efficient accuracy measures for time-series anomaly detection. - Paul Boniol; Ashwin K. Krishna; Marine Bruel; Qinghua Liu; Mingyi Huang; Themis Palpanas; Ruey S. Tsay; Aaron Elmore; Michael J. Franklin; John Paparrizos (VLDB J., 2025)