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cs.LG2025
Enhancing interpretability of rule-based classifiers through feature graphs
Christel Sirocchi, Damiano Verda
In domains where transparency and trustworthiness are crucial, such as healthcare, rule-based systems are widely used and often preferred over black-box models for decision support…
cs.LG2024
Can I trust my anomaly detection system? A case study based on explainable AI
Muhammad Rashid, Elvio Amparore, Enrico Ferrari +1
Generative models based on variational autoencoders are a popular technique for detecting anomalies in images in a semi-supervised context. A common approach employs the anomaly sc…