output
20142024
most citedSeries2Graph: Graph-based Subsequence Anomaly Detection for Time Series

99 citations

15 papers

cs.CV20241 cited

Can SAR improve RSVQA performance?

Lucrezia Tosato, Sylvain Lobry, Flora Weissgerber +1

Remote sensing visual question answering (RSVQA) has been involved in several research in recent years, leading to an increase in new methods. RSVQA automatically extracts informat…

cs.LG2023

Deep learning for classification of noisy QR codes

Rebecca Leygonie, Sylvain Lobry, ) +1

We wish to define the limits of a classical classification model based on deep learning when applied to abstract images, which do not represent visually identifiable objects.QR cod…

eess.SP202317 cited

Appliance Detection Using Very Low-Frequency Smart Meter Time Series

Adrien Petralia, Philippe Charpentier, Paul Boniol +1

In recent years, smart meters have been widely adopted by electricity suppliers to improve the management of the smart grid system. These meters usually collect energy consumption…

cs.LG202299 cited

Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series

Paul Boniol, Themis Palpanas

Subsequence anomaly detection in long sequences is an important problem with applications in a wide range of domains. However, the approaches proposed so far in the literature have…

cs.AI20216 cited

Design and Results of ICCMA 2021

Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly +1

Since 2015, the International Competition on Computational Models of Argumentation (ICCMA) provides a systematic comparison of the different algorithms for solving some classical r…

cs.AI2021

Cleaning Inconsistent Data in Temporal DL-Lite Under Best Repair Semantics

Mourad Ouziri, Sabiha Tahrat, Salima Benbernou +1

In this paper, we address the problem of handling inconsistent data in Temporal Description Logic (TDL) knowledge bases. Considering the data part of the Knowledge Base as the sour…