ODIN AD: A Framework Supporting the Life-Cycle of Time Series Anomaly Detection Applications. - Niccolò Zangrando; Piero Fraternali; Rocio Nahime Torres; Marco Petri; Nicolò Oreste Pinciroli Vago; Sergio Herrera (AALTD@ECML/PKDD, 2022)

Proactive Buildings: A Prescriptive Maintenance Approach. - Paraskevas Koukaras; Asimina Dimara; Sergio Herrera; Niccolò Zangrando; Stelios Krinidis; Dimosthenis Ioannidis; Piero Fraternali; Christos Tjortjis; Christos-Nikolaos Anagnostopoulos; Dimitrios Tzovaras (AIAI (Workshops), 2022)

Anomaly Detection in Small-Scale Industrial and Household Appliances. - Niccolò Zangrando; Sergio Herrera; Paraskevas Koukaras; Asimina Dimara; Piero Fraternali; Stelios Krinidis; Dimosthenis Ioannidis; Christos Tjortjis; Christos-Nikolaos Anagnostopoulos; Dimitrios Tzovaras (AIAI (Workshops), 2022)

Black-box error diagnosis in deep neural networks: a survey of tools. - Piero Fraternali; Federico Milani; Rocio Nahime Torres; Niccolò Zangrando (CoRR, 2022)

Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms. - Niccolò Zangrando; Piero Fraternali; Marco Petri; Nicolò Oreste Pinciroli Vago; Sergio Luis Herrera Gonzalez (Energy Inform., 2022)

Black-box error diagnosis in Deep Neural Networks for computer vision: a survey of tools. - Piero Fraternali; Federico Milani; Rocio Nahime Torres; Niccolò Zangrando (Neural Comput. Appl., 2023)