Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
Boje Deforce, Meng-Chieh Lee, Bart Baesens +3
Time series anomaly detection (TSAD) finds many applications such as monitoring environmental sensors, industry KPIs, patient biomarkers, etc. A two-fold challenge for TSAD is a ve…
cs.LG2024
Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture
Boje Deforce, Bart Baesens, EstefanÃa Serral Asensio
The recent surge in foundation models for natural language processing and computer vision has fueled innovation across various domains. Inspired by this progress, we explore the po…