Thomas Bäck

This article examines a new way to create algorithms with LLMs.

TeVAE model efficiently identifies anomalies in vehicle powertrain tests using time-series data.

This article discusses the significance of detecting anomalies in time-series data across industries.

A fresh approach to generating meaningful explanations for time-series data analysis.

Introducing a new dataset for better anomaly detection in vehicles.