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2020 – today
- 2025
[j16]Valerio Guerrini, Thibaut Germain, Charles Truong, Laurent Oudre, Paul Boniol:
Time Series Motif Discovery: A Comprehensive Evaluation. Proc. VLDB Endow. 18(7): 2226-2239 (2025)- [j15]Paul Boniol
, Donato Tiano, Angela Bonifati, Themis Palpanas:
-Graph: A Graph Embedding for Interpretable Time Series Clustering. IEEE Trans. Knowl. Data Eng. 37(5): 2680-2694 (2025) - [j14]Paul Boniol, Ashwin K. Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin, John Paparrizos:
VUS: effective and efficient accuracy measures for time-series anomaly detection. VLDB J. 34(3): 32 (2025) - [j13]Emmanouil Sylligardos, John Paparrizos, Themis Palpanas, Pierre Senellart, Paul Boniol:
MSAD: A deep dive into model selection for time series anomaly detection. VLDB J. 34(6): 72 (2025) - [c14]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. ICDE 2025: 4386-4399 - [c13]Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas:
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. ICDE 2025: 4552-4555 - [c12]Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas:
Graphint: Graph-Based Time Series Clustering Visualisation Tool. ICDE 2025: 4580-4583 - [c11]John Paparrizos, Paul Boniol, Qinghua Liu, Themis Palpanas:
Advances in Time-Series Anomaly Detection: Algorithms, Benchmarks, and Evaluation Measures. KDD (2) 2025: 6151-6161 - [i12]Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas:
k-Graph: A Graph Embedding for Interpretable Time Series Clustering. CoRR abs/2502.13049 (2025) - [i11]Paul Boniol, Ashwin K. Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin, John Paparrizos:
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection. CoRR abs/2502.13318 (2025) - [i10]Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas:
Graphint: Graph-based Time Series Clustering Visualisation Tool. CoRR abs/2503.07698 (2025) - [i9]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. CoRR abs/2506.05895 (2025) - [i8]Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas:
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. CoRR abs/2506.05912 (2025) - [i7]Félix Chavelli, Paul Boniol, Michaël Thomazo:
Toward Interpretable Evaluation Measures for Time Series Segmentation. CoRR abs/2510.23261 (2025) - [i6]Emmanouil Sylligardos, John Paparrizos, Themis Palpanas, Pierre Senellart, Paul Boniol:
MSAD: A Deep Dive into Model Selection for Time series Anomaly Detection. CoRR abs/2510.26643 (2025) - 2024
- [j12]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 Process. Line 14: 1-13 (2024) - [j11]Qinghua Liu, Paul Boniol, Themis Palpanas, John Paparrizos:
Time-Series Anomaly Detection: Overview and New Trends. Proc. VLDB Endow. 17(12): 4229-4232 (2024) - [c10]Paul Boniol, John Paparrizos, Themis Palpanas:
An Interactive Dive into Time-Series Anomaly Detection. ICDE 2024: 5382-5386 - [c9]Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre:
dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. ICDE 2024: 5437-5440 - [c8]Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
ADecimo: Model Selection for Time Series Anomaly Detection. ICDE 2024: 5441-5444 - [i5]Paul Boniol, Qinghua Liu, Mingyi Huang, Themis Palpanas, John Paparrizos:
Dive into Time-Series Anomaly Detection: A Decade Review. CoRR abs/2412.20512 (2024) - 2023
- [j10]Emmanouil Sylligardos, Paul Boniol, John Paparrizos, Panos E. Trahanias, Themis Palpanas:
Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. Proc. VLDB Endow. 16(11): 3418-3432 (2023) - [j9]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 32(2): 469 (2023) - [c7]Paul Boniol, John Paparrizos, Themis Palpanas:
New Trends in Time Series Anomaly Detection. EDBT 2023: 847-850 - [c6]Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. e-Energy 2023: 214-225 - [i4]Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas:
Appliance Detection Using Very Low-Frequency Smart Meter Time Series. CoRR abs/2305.10352 (2023) - 2022
- [j8]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. Proc. VLDB Endow. 15(8): 1697-1711 (2022) - [j7]John Paparrizos, Paul Boniol, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin:
Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. Proc. VLDB Endow. 15(11): 2774-2787 (2022) - [j6]Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin:
Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. Proc. VLDB Endow. 15(12): 3702-3705 (2022) - [c5]Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas:
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. SIGMOD Conference 2022: 1175-1189 - [i3]Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas:
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. CoRR abs/2207.12165 (2022) - [i2]Paul Boniol, Themis Palpanas:
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. CoRR abs/2207.12208 (2022) - 2021
- [b1]Paul Boniol:
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). Paris Cité University, France, 2021 - [j5]Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin:
SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. 14(10): 1717-1729 (2021) - [j4]Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin:
SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. 14(12): 2867-2870 (2021) - [j3]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 30(6): 909-931 (2021) - 2020
- [j2]Paul Boniol, Themis Palpanas:
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. Proc. VLDB Endow. 13(11): 1821-1834 (2020) - [j1]Paul Boniol, Themis Palpanas, Mohammed Meftah, Emmanuel Remy:
GraphAn: Graph-based Subsequence Anomaly Detection. Proc. VLDB Endow. 13(12): 2941-2944 (2020) - [c4]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas:
SAD: An Unsupervised System for Subsequence Anomaly Detection. ICDE 2020: 1778-1781 - [c3]Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas:
Automated Anomaly Detection in Large Sequences. ICDE 2020: 1834-1837 - [c2]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@KDD 2020: 11-17 - [c1]Paul Boniol:
Unsupervised Subsequence Anomaly Detection in Large Sequences. PhD@VLDB 2020 - [i1]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. CoRR abs/2006.06251 (2020)
Coauthor Index
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