output
20072026
most citedSeries2Graph: Graph-based Subsequence Anomaly Detection for Time Series

99 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025★ 12 cited

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity

Adrien Petralia, Philippe Charpentier, Youssef Kadhi +1

Millions of smart meters have been deployed worldwide, collecting the total power consumed by individual households. Based on these data, electricity suppliers offer their clients…

cs.LG2024★ 1 cited

SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention

Romain Ilbert, Ambroise Odonnat, Vasilii Feofanov +4

Transformer-based architectures achieved breakthrough performance in natural language processing and computer vision, yet they remain inferior to simpler linear baselines in multiv…

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…

cs.LG2022★ 99 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…