Explaining anomalies through semi-supervised Autoencoders

This work tackles the problem of designing explainable by design anomaly detectors, which provide intelligible explanations to abnormal behaviors in input data observations. In particular, we adopt heatmaps as explanations, where a heatmap can be regarded as a collection of per-feature scores. To ex...

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Vydané v:	Array (New York) Ročník 28; s. 100537
Hlavní autori:	Angiulli, Fabrizio, Fassetti, Fabio, Ferragina, Luca, Nisticò, Simona
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.12.2025
Predmet:	Anomaly detection Explainability by design Explainable Artificial Intelligence Green-aware AI Explainable Artificial Intelligence Green-aware AI Explainability by design Anomaly detection
ISSN:	2590-0056, 2590-0056
On-line prístup:	Získať plný text
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