Anomaly Detection

Turkish equivalent: Anomali AlgılamaDomain: Machine Learning

Scores and identifies observations that deviate meaningfully from a model of normal behaviour or data distribution.

Technical Context

Scores and identifies observations that deviate meaningfully from a model of normal behaviour or data distribution.

This concept is used when representing observations, comparing them or interpreting model decisions.

Updated: 31.08.2026

Publications whose title or summary directly references this concept.

Visual anomaly detection through models of normality, anomaly scores, temporal context, false-alarm control and distribution shift.

Acoustic anomaly detection through models of normal operation, transient and long-term deviations, trend analysis and multi-sensor validation.