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)