Publications

2025

Tutorials

Qinghua Liu, Paul Boniol, John Paparrizos, Themis Palpanas. Advances in Time-Series Anomaly Detection. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Toronto, Canada, August 2025.
Qinghua Liu, Paul Boniol, John Paparrizos, Themis Palpanas. Advances in Time-Series Anomaly Detection. The 34th International Joint Conference on Artificial Intelligence (IJCAI-25), Montreal, Canada, August 2025.

Journals

Valerio Guerrini, Thibaut Germain, Charles Truong, Laurent Oudre, Paul Boniol. Time Series Motif Discovery: A Comprehensive Evaluation. Proceedings of the VLDB Endowment (PVLDB) Journal, 2025.
Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas. k-Graph: A Graph Embedding for Interpretable Time Series Clustering. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025.
Paul Boniol, Ashwin Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey Tsay, Aaron Elmore, Michael J. Franklin, John Paparrizos. VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection. International Journal on Very Large Data Bases (VLDBJ), 2025.

Conferences

Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas. Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series. In IEEE International Conference on Data Engineering (ICDE), Hong Kong SAR, China, May 2025.
Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas. Graphint: Graph-based Time Series Clustering Visualisation Tool. IEEE International Conference on Data Engineering (ICDE), Hong Kong SAR, China, May 2025.
Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas. DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. IEEE International Conference on Data Engineering (ICDE), Hong Kong SAR, China, May 2025.

Preprints

Paul Boniol, Qinghua Liu, Mingyi Huang, Themis Palpanas, John Paparrizos. Dive into Time-Series Anomaly Detection: A Decade Review. Arxiv.

2024

Tutorials

Qinghua Liu, Paul Boniol, John Paparrizos, Themis Palpanas. Time-Series Anomaly Detection: Overview and New Trends Proceedings of the VLDB Endowment (PVLDB) Journal, 2024.
Paul Boniol, John Paparrizos, Themis Palpanas. An Interactive Dive into Time-Series Anomaly Detection IEEE International Conference on Data Engineering (ICDE), Utrecht, Netherlands, May 2024.

Journals

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. Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. Image Processing Online (IPOL) Journal, 2024.

Conferences

Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos Trahanias, Themis Palpanas.. ADecimo: Model Selection for Time Series Anomaly Detection. IEEE International Conference on Data Engineering (ICDE), Utrecht, Netherlands, May 2024. Best Runner Up Demo Award
Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre. d_{symb} playground: an interactive tool to explore large multivariate time series datasets. IEEE International Conference on Data Engineering (ICDE), Utrecht, Netherlands, May 2024.

Others

Paul Boniol, Themis Palpanas. Time Series Anomaly Detection. ACM SIGMOD Blog, July 2024.

2023

Tutorials

Paul Boniol, John Paparrizos, Themis Palpanas. New Trends in Time Series Anomaly Detection International Conference on Extending Database Technology (EDBT), Ioannina, Greece, March 2023.

Journals

Paul Boniol, Mohammed Meftah, Emmanuel Remy, Bruno Didier, Themis Palpanas. dCNN/dCAM: Anomaly Precursors Discovery in Multivariate Time Series with Deep Convolutional Neural Networks. Data-Centric Engineering (DCE) Journal, 2023.
Emmanouil Sylligardos, Paul Boniol, John Paparrizos, Panos Trahanias, Themis Palpanas. Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. Proceedings of the VLDB Endowment (PVLDB) Journal, 2023.

Conferences

Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas. Appliance Detection Using Very Low-Frequency Smart Meter Time Series. ACM International Conference on Future Energy Systems (e-Energy), Orlando, FL (USA), June 2023.

2022

Journals

John Paparrizos, Paul Boniol, Themis Palpanas, Ruey Tsay, Aaron J. Elmore, Michael J. Franklin. Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. Proceedings of the VLDB Endowment (PVLDB) Journal, 2022.
Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey Tsay, Aaron J. Elmore, Michael J. Franklin. Theseus: Navigating the Labyrinth of Subsequence Anomaly Detection. Proceedings of the VLDB Endowment (PVLDB) Journal, demonstration track, 2022.
John Paparrizos, Yuhao Kang, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin. TSB-UAD An End-to-End Benchmark Suite for Univariate Time Series Anomaly Detection. Proceedings of the VLDB Endowment (PVLDB) Journal, 2022.

Conferences

Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas. Détection d’anomalies et identification de leurs précurseurs dans des larges collections de séries temporelles - Application à un matériel de centrales EDF. In Congrès Lambda Mu 23, 2022.
Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas. dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. In Proceedings of the 2022 International Conference on Management of Data (SIGMOD’22), 2022.

Patents

Paul Boniol, Themis Palpanas, Michele Linardi, Federico Roncallo, Mohammed Meftah, Emmanuel Remy. Determination of Health Status of Systems Equipped with Sensors. US Patent 11471113, 2022.

2021

Journals

Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin. SAND: Streaming Subsequence Anomaly Detection. Proceedings of the VLDB Endowment (PVLDB) Journal, 2021.
Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin. SAND in Action: Subsequence Anomaly Detection for Streams. Proceedings of the VLDB Endowment (PVLDB) Journal,demonstration track, 2021.
David Restrepo Armiles, Pablo Marcello Baquero, Paul Boniol, Rajaa El Hamdani, Michalis Vazirgiannis. Computional Indicators in the Legal Profession: Can Artificial Intelligence Measure Lawers’ Performance. Journal of Law, Technology and Policy, 2021.
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah. Emmanuel Remy. Unsupervised and Scalable Subsequence Anomaly Detection in Large Data Series. International Journal on Very Large Data Bases (VLDBJ), 2021.

Patents

Paul Boniol, Themis Palpanas, Mohammed Meftah, Emmanuel Remy. Determining the State of Health of a System on the Basis of a Network of Measured Time Sequences. European Patent WO2021233758, 2021.

2020

Journals

Paul Boniol, Themis Palpanas. Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. Proceedings of the VLDB Endowment (PVLDB) Journal 13(11), 2020.
Paul Boniol, Themis Palpanas, Mohammed Meftah, Emmanuel Remy. GraphAn: Graph-based Subsequence Anomaly Detection. Proceedings of the VLDB Endowment (PVLDB) Journal, demonstration track, 2020.

Conferences

Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis. Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. NLLP Workshop, KDD, San Diego, CA, USA, August 2020: 11-17.
Paul Boniol (supervised by Themis Palpanas, Mohammed Meftah, Emmanuel Remy). Unsupervised Subsequence Anomaly Detection in Large Sequences. Very Large Data Bases (VLDB) PhD Workshop, Tokyo, Japan, August 2020.
Paul Boniol, Themis Palpanas. Subsequence Anomaly Detection with Series2Graph. BDA, 2020.
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas. Automated Anomaly Detection in Large Sequences. IEEE International Conference on Data Engineering (ICDE), Dallas, TX, USA, April 2020.
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas. SAD: An Unsupervised System for Subsequence Anomaly Detection. IEEE International Conference on Data Engineering (ICDE), demonstration track, Dallas, TX, USA, April 2020.

Patents

Paul Boniol, Themis Palpanas, Mohammed Meftah, Emmanuel Remy. Determination de l’etat de sante d’un systeme a partir d’un reseau de sequences temporelles mesurees. French Patent FR2005261, 2020.
Paul Boniol, Themis Palpanas, Michele Linardi, Federico Roncallo, Mohammed Meftah, Emmanuel Remy. Determination d’etats de sante de systemes equipes de capteurs. French Patent FR2003946, 2020.