Deep generative models for time-series anomaly detection.

Time series analysis has become a prominent area of study driven by the explosive growth of data generation a trend that continues to accelerate. Real time anomaly detection in time series is a crucial and challenging problem. Behind an anomaly may lie an ongoing system attack, a potential failure t...

Full description

Bibliographic Details

Main Author:	García González, Gastón (author)
Format:	doctoralThesis
Language:	English
Published:	2025
Subjects:	Deep Generative Models VAE Time-Series Anomaly Detection Continual Learning Foundation Models
Online Access:	https://hdl.handle.net/20.500.12008/49891
Tags:	Add Tag No Tags, Be the first to tag this record!