Publications

Qinghua Liu, Paul Boniol, John Paparrizos, Themis Palpanas. Time-Series Anomaly Detection: Overview and New Trends Proceedings of the VLDB Endowment (PVLDB) Journal, 2024. Slides
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. More info…, Slides

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. More info…, Live demonstration

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. More info…. 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. More info…

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

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. More info…
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. More info…

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. More info…

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. More info…
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. More info…
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. More info…

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. More info…
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. More info…

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.

Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin. SAND: Streaming Subsequence Anomaly Detection. Proceedings of the VLDB Endowment (PVLDB) Journal, 2021. More info…
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. More info…
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. More info…
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. More info…

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.

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

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 More info…
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. More info…
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. More info…
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. More info…

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.