Advances on TSLies: Time Series AnomaLIES, an efficient machine learning based anomaly detection framework

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Authors: Andrea Adelfio, S. Cutini, Francesco Longo, S. Germani, P. Lubrano, Riccardo Crupi, S. Maldera
Cited by: 1
References: 11

Fields of Study & Subjects

Anomaly Detection Techniques and Applications Time Series Analysis and Forecasting Software System Performance and Reliability

Publication details

Journal / source
Astronomy and Computing
Publisher
Elsevier BV
Volume
56
Pages
101113–101113
Publication date
2 April 2026
Language
EN