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Found 4 papers, 2 papers with code
Appliance Detection Using Very Low-Frequency Smart Meter Time Series
This paper presents an in-depth evaluation and comparison of state-of-the-art time series classifiers applied to detecting the presence/absence of diverse appliances in very low-frequency smart meter data.
Series2Graph: Graph-based Subsequence Anomaly Detection for Time Series
Subsequence anomaly detection in long sequences is an important problem with applications in a wide range of domains.
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series Classification
Convolutional neural networks perform well for the data series classification task; though, the explanations provided by this type of algorithm are poor for the specific case of multivariate data series.
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France
Artificial Intelligence techniques are already popular and important in the legal domain.
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