Paul Boniol - RankMe

44 papers A* 8A 1B 2Journal 27Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	A Comprehensive Guide to Time-Series Anomaly Detection. WSDM John Paparrizos, Paul Boniol, Qinghua Liu, Themis Palpanas
2025	J	`jnl`	-Graph: A Graph Embedding for Interpretable Time Series Clustering. IEEE Trans. Knowl. Data Eng. Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas
2025	—	`conf`	Advances in Time-Series Anomaly Detection: Algorithms, Benchmarks, and Evaluation Measures. KDD (2) John Paparrizos, Paul Boniol, Qinghua Liu, Themis Palpanas
2025	A*	`conf`	DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. ICDE Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas
2025	J	`jnl`	DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series. CoRR Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas
2025	A*	`conf`	Few Labels are All you Need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series. ICDE Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas
2025	J	`jnl`	Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series. CoRR Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas
2025	A*	`conf`	Graphint: Graph-Based Time Series Clustering Visualisation Tool. ICDE Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas
2025	J	`jnl`	Graphint: Graph-based Time Series Clustering Visualisation Tool. CoRR Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas
2025	B	`conf`	Interpretable Multivariate Anomaly Detector Selection for Automatic Marine Data Quality Control. IEEE Big Data Ngoc-Thanh Nguyen, Astrid Marie Skålvik, Emmanouil Sylligardos, Rogardt Heldal, Patrizio Pelliccione, Paul Boniol, Themis Palpanas, Sverre Jakob Alvsvåg
2025	J	`jnl`	MSAD: A Deep Dive into Model Selection for Time series Anomaly Detection. CoRR Emmanouil Sylligardos, John Paparrizos, Themis Palpanas, Pierre Senellart, Paul Boniol
2025	J	`jnl`	MSAD: A deep dive into model selection for time series anomaly detection. VLDB J. Emmanouil Sylligardos, John Paparrizos, Themis Palpanas, Pierre Senellart, Paul Boniol
2025	J	`jnl`	Time Series Motif Discovery: A Comprehensive Evaluation. Proc. VLDB Endow. Valerio Guerrini, Thibaut Germain, Charles Truong, Laurent Oudre, Paul Boniol
2025	J	`jnl`	Toward Interpretable Evaluation Measures for Time Series Segmentation. CoRR Félix Chavelli, Paul Boniol, Michaël Thomazo
2025	J	`jnl`	VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection. CoRR Paul Boniol, Ashwin K. Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin, John Paparrizos
2025	J	`jnl`	VUS: effective and efficient accuracy measures for time-series anomaly detection. VLDB J. Paul Boniol, Ashwin K. Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin, John Paparrizos
2024	A*	`conf`	ADecimo: Model Selection for Time Series Anomaly Detection. ICDE Paul Boniol, Emmanouil Sylligardos, John Paparrizos, Panos E. Trahanias, Themis Palpanas
2024	A*	`conf`	An Interactive Dive into Time-Series Anomaly Detection. ICDE Paul Boniol, John Paparrizos, Themis Palpanas
2024	J	`jnl`	Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. Image Process. Line 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
2024	J	`jnl`	Dive into Time-Series Anomaly Detection: A Decade Review. CoRR Paul Boniol, Qinghua Liu, Mingyi Huang, Themis Palpanas, John Paparrizos
2024	J	`jnl`	Time-Series Anomaly Detection: Overview and New Trends. Proc. VLDB Endow. Qinghua Liu, Paul Boniol, Themis Palpanas, John Paparrizos
2024	A*	`conf`	dsymb Playground: An Interactive Tool to Explore Large Multivariate Time Series Datasets. ICDE Sylvain W. Combettes, Paul Boniol, Charles Truong, Laurent Oudre
2023	—	`conf`	Appliance Detection Using Very Low-Frequency Smart Meter Time Series. e-Energy Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas
2023	J	`jnl`	Appliance Detection Using Very Low-Frequency Smart Meter Time Series. CoRR Adrien Petralia, Philippe Charpentier, Paul Boniol, Themis Palpanas
2023	J	`jnl`	Choose Wisely: An Extensive Evaluation of Model Selection for Anomaly Detection in Time Series. Proc. VLDB Endow. Emmanouil Sylligardos, Paul Boniol, John Paparrizos, Panos E. Trahanias, Themis Palpanas
2023	J	`jnl`	Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy
2023	B	`conf`	New Trends in Time Series Anomaly Detection. EDBT Paul Boniol, John Paparrizos, Themis Palpanas
2022	J	`jnl`	Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. CoRR Paul Boniol, Themis Palpanas
2022	J	`jnl`	TSB-UAD: An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection. Proc. VLDB Endow. John Paparrizos, Yuhao Kang, Paul Boniol, Ruey S. Tsay, Themis Palpanas, Michael J. Franklin
2022	J	`jnl`	Theseus: Navigating the Labyrinth of Time-Series Anomaly Detection. Proc. VLDB Endow. Paul Boniol, John Paparrizos, Yuhao Kang, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin
2022	J	`jnl`	Volume Under the Surface: A New Accuracy Evaluation Measure for Time-Series Anomaly Detection. Proc. VLDB Endow. John Paparrizos, Paul Boniol, Themis Palpanas, Ruey S. Tsay, Aaron J. Elmore, Michael J. Franklin
2022	—	`conf`	dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. SIGMOD Conference Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas
2022	J	`jnl`	dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification. CoRR Paul Boniol, Mohammed Meftah, Emmanuel Remy, Themis Palpanas
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	J	`jnl`	SAND in Action: Subsequence Anomaly Detection for Streams. Proc. VLDB Endow. Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin
2021	J	`jnl`	SAND: Streaming Subsequence Anomaly Detection. Proc. VLDB Endow. Paul Boniol, John Paparrizos, Themis Palpanas, Michael J. Franklin
2021	J	`jnl`	Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy
2020	A*	`conf`	Automated Anomaly Detection in Large Sequences. ICDE Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
2020	J	`jnl`	GraphAn: Graph-based Subsequence Anomaly Detection. Proc. VLDB Endow. Paul Boniol, Themis Palpanas, Mohammed Meftah, Emmanuel Remy
2020	—	`conf`	Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. NLLP@KDD Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis
2020	J	`jnl`	Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. CoRR Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis
2020	A*	`conf`	SAD: An Unsupervised System for Subsequence Anomaly Detection. ICDE Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
2020	J	`jnl`	Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series. Proc. VLDB Endow. Paul Boniol, Themis Palpanas
2020	—	`conf`	Unsupervised Subsequence Anomaly Detection in Large Sequences. PhD@VLDB Paul Boniol