| Series2graph: Graph-based subsequence anomaly detection for time series P Boniol, T Palpanas Proceedings of the VLDB Endowment 13 (11), 1821-1834, 2020 | 102 | 2020 |
| TSB-UAD: an end-to-end benchmark suite for univariate time-series anomaly detection J Paparrizos, Y Kang, P Boniol, RS Tsay, T Palpanas, MJ Franklin Proceedings of the VLDB Endowment 15 (8), 1697-1711, 2022 | 99 | 2022 |
| SAND: streaming subsequence anomaly detection P Boniol, J Paparrizos, T Palpanas, MJ Franklin Proceedings of the VLDB Endowment 14 (10), 1717-1729, 2021 | 82* | 2021 |
| Automated anomaly detection in large sequences P Boniol, M Linardi, F Roncallo, T Palpanas 2020 IEEE 36th international conference on data engineering (ICDE), 1834-1837, 2020 | 61 | 2020 |
| Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection J Paparrizos, P Boniol, T Palpanas, RS Tsay, A Elmore, MJ Franklin Proceedings of the VLDB Endowment 15 (11), 2774 - 2787, 2022 | 60 | 2022 |
| Unsupervised and scalable subsequence anomaly detection in large data series P Boniol, M Linardi, F Roncallo, T Palpanas, M Meftah, E Remy The VLDB Journal 30 (6), 909-931, 2021 | 55 | 2021 |
| Graphan: Graph-based subsequence anomaly detection P Boniol, T Palpanas, M Meftah, E Remy Proceedings of the VLDB Endowment 13 (12), 2941-2944, 2020 | 38 | 2020 |
| SAD: An Unsupervised System for Subsequence Anomaly Detection P Boniol, M Linardi, F Roncallo, T Palpanas 2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020 | 21 | 2020 |
| dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification P Boniol, M Meftah, E Remy, T Palpanas Proceedings of the 2022 International Conference on Management of Data, 1175 …, 2022 | 19 | 2022 |
| Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection P Boniol, J Paparrizos, Y Kang, T Palpanas, RS Tsay, AJ Elmore, ... Proceedings of the VLDB Endowment 15 (12), 3702-3705, 2022 | 18* | 2022 |
| Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France P Boniol, G Panagopoulos, C Xypolopoulos, RE Hamdani, DR Amariles, ... NLLP Workshop, KDD, 2020 | 18* | 2020 |
| Sand in action: subsequence anomaly detection for streams P Boniol, J Paparrizos, T Palpanas, MJ Franklin Proceedings of the VLDB Endowment 14 (12), 2867-2870, 2021 | 16 | 2021 |
| Choose wisely: An extensive evaluation of model selection for anomaly detection in time series E Sylligardos, P Boniol, J Paparrizos, P Trahanias, T Palpanas Proceedings of the VLDB Endowment 16 (11), 3418-3432, 2023 | 14 | 2023 |
| New Trends in Time-Series Anomaly Detection P Boniol, J Paparrizos, T Palpanas International Conference on Extending Database Technology (EDBT), 2023 | 9 | 2023 |
| Appliance Detection Using Very Low-Frequency Smart Meter Time Series A Petralia, P Charpentier, P Boniol, T Palpanas Proceedings of the 14th ACM International Conference on Future Energy …, 2023 | 6 | 2023 |
| Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination SW Combettes, P Boniol, A Mazarguil, D Wang, D Vaquero-Ramos, ... Image Processing On Line 14, 1-13, 2024 | 5 | 2024 |
| Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. P Boniol, M Linardi, F Roncallo, T Palpanas, M Meftah, E Remy VLDB J. 32 (2), 469, 2023 | 2 | 2023 |
| Computational Indicators in the Legal Profession: Can Artificial Intelligence Measure Lawyers' Performance? D Restrepo-Amariles, PM Baquero, P Boniol, R El Hamdani, ... Journal of Law, Technology and Policy 2021 (2), 2021 | 2* | 2021 |
| Unsupervised Subsequence Anomaly Detection in Large Sequences. P Boniol PhD@ VLDB, 2020 | 2 | 2020 |
| ADecimo: Model Selection for Time Series Anomaly Detection P Boniol, E Sylligardos, J Paparrizos, P Trahanias, T Palpanas 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024 | 1 | 2024 |
Themis PalpanasDistinguished Professor, University Paris Cite, French University Institute (IUF)Verified email at mi.parisdescartes.fr
