The CRASH Project: Defect Detection and Classification in Ferrite Cores. - Massimo Mari; Carlo Dambra; Dmitry Chetverikov; Judit Verestóy; Adam Józwik; Mariusz Nieniewski; Leszek Chmielewski; Marek Sklodowski; Waldemar Cudny; Martin Lugg (ICIAP (2), 1997)

Remote Cable-Based Video Surveillance Applications: The Avs-Rio Project. - Claudio Sacchi; Carlo S. Regazzoni; Carlo Dambra (ICIAP, 1999)

Design and Implementation of Real-Time Wearable Devices for a Safety-Critical Track Warning System. - Andrea Ceccarelli; Andrea Bondavalli; João Figueiras; Boris Malinowsky; Jurij Wakula; Francesco Brancati; Carlo Dambra; Andrea Seminatore (HASE, 2012)

Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (DSAA, 2016)

Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (INNS Conference on Big Data, 2016)

Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Train Delay Prediction Systems: A Big Data Analytics Perspective. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (Big Data Res., 2018)

A Dynamic Risk Assessment (DRA) Methodology for High Impact Low Probability (HILP) Security Risks. - Carlo Dambra; Chanan Graf; Jordi Arias; Alex Gralewski (CRITIS, 2019)

The HERMENEUT Project: Enterprises Intangible Risk Management via Economic Models based on Simulation of Modern Cyber Attacks. - Enrico Frumento; Carlo Dambra (ICISSP, 2019)

Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support. - Alice Consilvio; Paolo Sanetti; Davide Anguita; Carlo Crovetto; Carlo Dambra; Luca Oneto; Federico Papa; Nicola Sacco (MT-ITS, 2019)

Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets. - Luca Oneto; Simone Minisi; Andrea Garrone; Renzo Canepa; Carlo Dambra; Davide Anguita (ESANN, 2022)

Data-Driven Methods for Aviation Safety: From Data to Knowledge. - Irene Buselli; Luca Oneto; Carlo Dambra; Christian Verdonk Gallego; Miguel Garcia Martinez (SYSINT, 2022)

Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment. - Andrea Garrone; Simone Minisi; Luca Oneto; Carlo Dambra; Marco Borinato; Paolo Sanetti; Giulia Vignola; Federico Papa; Nadia Mazzino; Davide Anguita (SYSINT, 2022)