Although neural network-based approaches succeed in time-series classification and regression tasks, they usually ignore the trend information in the data. The primary reason is that the complex ...

Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have improved ...

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Multivariate (stepwise linear regression) analysis of factors predictive of the P-scale score Among the Lupus-QoL and SF-36 domains and disease representations (B-IPQ), we also analysed which ones ...