An accessible introduction to anomaly detection: from childhood puzzles to modern machine learning models.
Exploring rule-based, ML, and deep learning methods for detecting network intrusions using NSL-KDD.
Time-series anomaly detection using ECG beat morphology and reconstruction-based models.