Work

Can Large Language Models be Anomaly Detectors for Time Series?

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Data Science and Advanced Analytics (DSAA)

DOI: 10.1109/dsaa61799.2024.10722786

Authors: Sarah Alnegheimish, Linh Nguyen, Laure Berti-Equille, Kalyan Veeramachaneni

Institutions: Massachusetts Institute of Technology, Institut de Recherche pour le Développement

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: ScottishPower Renewables

OpenAlex ID: W4403724173

FWCI: 9.116

Cites: 33

Cited by: 31

Related to: 10