3 papers
cs.LG2024
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD
Valentina Zaccaria, Chiara Masiero, David Dandolo +1
While Machine Learning has become crucial for Industry 4.0, its opaque nature hinders trust and impedes the transformation of valuable insights into actionable decision, a challeng…
stat.ML2024
Enhancing Interpretability and Generalizability in Extended Isolation Forests
Alessio Arcudi, Davide Frizzo, Chiara Masiero +1
Anomaly Detection (AD) focuses on identifying unusual behaviors in complex datasets. Machine Learning (ML) algorithms and Decision Support Systems (DSSs) provide effective solution…
cs.CV2024
Continual Learning Approaches for Anomaly Detection
Davide Dalle Pezze, Eugenia Anello, Chiara Masiero +1
Anomaly Detection is a relevant problem that arises in numerous real-world applications, especially when dealing with images. However, there has been little research for this task…