Anomaly Detection in Industrial Assets Through Unsupervised Multi-ensemble Model, Trapani, Natalia, Longo Leonardo, Manno Gabriele, Mancini Giuseppe, and Luciano Antonella , IFIP Advances in Information and Communication Technology, Volume 811 IFIPAICT, p.95 - 109, (2027)

Integrated multi-elemental and 87Sr/86Sr isotopic fingerprinting coupled with explainable artificial intelligence for geographical authentication of wheat, Puzo, Giulia, Zuliani Tea, Magarelli Michele, Novielli Pierfrancesco, Pucci Emilia, Poscente Valeria, Bernardini Alessandra, Tangaro Sabina, Reverberi Massimo, and Zoani Claudia , Food Chemistry, Volume 525, (2026)

AI-BASED ANALYSIS OF AMBIENT VIBRATION DATA FOR THE STRUCTURAL HEALTH MONITORING AND DAMAGE ASSESSMENT IN EXISTING STRUCTURES, Palumbo, Domenico, and Roselli Ivan , COMPDYN Proceedings, p.2621-2629, (2025)

A first approach to the optimization of landing and take-off operations through intelligent algorithms for compliance with the acoustic standards in multi-runway airports, Salata, Ferdinando, Falasca Serena, Palusci Olga, Ciancio Virgilio, Tarsitano Anna, Battistini Vincenzo, Venditti Andrea, Cavina Lorenzo, and Coppi Massimo , Applied Acoustics, Volume 181, (2021)

Machine learning techniques to select a reduced and optimal set of sensors for the design of Ad Hoc sensory systems, Quercia, L., and Palumbo Domenico , Lecture Notes in Electrical Engineering, Volume 539, p.405-416, (2019)

Assessment of air quality microsensors versus reference methods: The EuNetAir Joint Exercise – Part II, Borrego, C., Ginja J., Coutinho M., Ribeiro C., Karatzas K., Sioumis T., Katsifarakis N., Konstantinidis K., De Vito S., Esposito E., et al. , Atmospheric Environment, Volume 193, p.127-142, (2018)

Deterministic and Stochastic Approaches for Day-Ahead Solar Power Forecasting, Pierro, M., Bucci F., De Felice Matteo, Maggioni E., Perotto A., Spada F., Moser D., and Cornaro C. , Journal of Solar Energy Engineering, Transactions of the ASME, Volume 139, Number 2, (2017)

Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2, Spinelle, L., Gerboles M., Villani Maria Gabriella, Aleixandre M., and Bonavitacola F. , Sensors and Actuators, B: Chemical, Volume 238, p.706-715, (2017)

Multi-Model Ensemble for day ahead prediction of photovoltaic power generation, Pierro, M., Bucci F., De Felice Matteo, Maggioni E., Moser D., Perotto A., Spada F., and Cornaro C. , Solar Energy, Volume 134, p.132-146, (2016)

Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide, Spinelle, L., Gerboles M., Villani Maria Gabriella, Aleixandre M., and Bonavitacola F. , Sensors and Actuators, B: Chemical, Volume 215, p.249-257, (2015)

Combining back-propagation and genetic algorithms to train neural networks for start-up time modeling in combined cycle power plants, Bertin, I., De Felice Matteo, and Pizzuti S. , Proceedings of the 18th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, ESANN 2010, p.165-170, (2010)

Learning preferences of users accessing digital libraries, Licchelli, O., Lops P., Semeraro G., Bordoni L., and Poggi F. , Proceedings of the 10th ISPE International Conference on Concurrent Engineering, p.457-465, (2003)