The CriLiM Methodology: Crime Linkage with a Fuzzy MCDM Approach. - Fabrizio Albertetti; Paul Cotofrei; Lionel Grossrieder; Olivier Ribaux; Kilian Stoffel (EISIC, 2013)

Crime linkage: A fuzzy MCDM approach. - Fabrizio Albertetti; Paul Cotofrei; Lionel Grossrieder; Olivier Ribaux; Kilian Stoffel (ISI, 2013)

Change points detection in crime-related time series: An on-line fuzzy approach based on a shape space representation. - Fabrizio Albertetti; Lionel Grossrieder; Olivier Ribaux; Kilian Stoffel (Appl. Soft Comput., 2016)

A Deep Learning Approach for Blood Glucose Prediction and Monitoring of Type 1 Diabetes Patients. - Jonas Freiburghaus; Aïcha Rizzotti-Kaddouri; Fabrizio Albertetti (KDH@ECAI, 2020)

Stress Detection with Deep Learning Approaches Using Physiological Signals. - Fabrizio Albertetti; Alena Simalastar; Aïcha Rizzotti-Kaddouri (HealthyIoT, 2020)

Workload Prediction of Business Processes - An Approach Based on Process Mining and Recurrent Neural Networks. - Fabrizio Albertetti; Hatem Ghorbel (CoRR, 2020)