Jyotirmoy Singh
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126
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2026
DEM: A Distilled Explanation Model for Interpretable Anomaly Detection in Physiological Sensor Networks
The paper proposes the Distilled Explanation Model (DEM), a novel glass-box framework that achieves high-accuracy, clinically interpretable anomaly detection in physiological sensor data by distilling complex model knowledge into a simple decision tree.
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