Scholar
Paul Boniol
Google Scholar ID: zbHpNGUAAAAJ
Inria, Ecole normale supérieure
Data Mining
Data Management
Data Science
Time Series
Anomaly Detection
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Citations & Impact
All-time
Citations
1,204
H-index
17
i10-index
21
Publications
20
Co-authors
14
list available
Publications
12 items
Detect, Explain, Interpret: An End-to-End Benchmark for Time Series Anomaly Detection, Explainability and Interpretability
2026
Cited
0
What Streaming Anomaly Detection Finds (and Misses) in Industrial Time Series
2026
Cited
0
In a Streaming World, Should You Stand Still? A Comprehensive Benchmark of Anomaly Detection in Streams
2026
Cited
0
From Benchmarks to Production: Transferring Time Series Anomaly Detection Methods for Electricity Production Monitoring
2026
Cited
0
MSAD: A Deep Dive into Model Selection for Time series Anomaly Detection
2025
Cited
0
Toward Interpretable Evaluation Measures for Time Series Segmentation
2025
Cited
0
DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series
2025
Cited
1
Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
2025
Cited
1
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Co-authors
11 total
Themis Palpanas
Distinguished Professor, University Paris Cite, French University Institute (IUF)
John Paparrizos
The Ohio State University, USA & Aristotle University of Thessaloniki, Greece
Michael Franklin
University of Chicago
Emmanuel REMY
EDF R&D
Michalis Vazirgiannis
Distinguished Prof, Ecole Polytechnique & Affiliate Prof. at MBZUAI
David RESTREPO AMARILES
HEC Paris
Emmanouil Sylligardos
PhD Candidate, École Normale Supérieure - PSL
Adrien Petralia
EDF R&D
