Machine Learning prediction of the expected performance of football player during training. - Gianluca Morciano; Andrea Zingoni; Andrea Morachioli; Giuseppe Calabrò (MetroXRAINE, 2022)

Prediction of Football Players' Performance Indicators via Random Forest Algorithm. - Gianluca Morciano; Andrea Zingoni; Giuseppe Calabrò (MetroXRAINE, 2023)

VR-based Silent Reading and Rosenberg Tests: Machine-Learning Approach to Identify Learning Disorders. - Michele Materazzini; Gianluca Morciano; José Manuel Alcalde-Llergo; Enrique Yeguas-Bolivar; Andrea Zingoni; Juri Taborri (MetroXRAINE, 2024)

Real-Time Detection of Criminal Actions in the Everyday Life, From Camera-Equipped Streetlamps. - Andrea Zingoni; José M. Alcalde-Llergo; Gianluca Morciano; Daniele Melloni; Enrique Yeguas-Bolivar; Nicola Fantasia; Gianluigi Mascia; Matteo Sperandio (MetroXRAINE, 2024)

VRAIlexia project: Provide customized support to university students with dyslexia using Artificial Intelligence and Virtual Reality. - Andrea Zingoni; Gianluca Morciano; José M. Alcalde-Llergo; Juri Taborri; Enrique Yeguas-Bolivar; Pilar Aparicio-Martínez; Sara Pinzi; Giuseppe Calabrò (MetroXRAINE, 2024)

Use of recommendation models to provide support to dyslexic students. - Gianluca Morciano; José Manuel Alcalde-Llergo; Andrea Zingoni; Enrique Yeguas-Bolivar; Juri Taborri; Giuseppe Calabrò (Expert Syst. Appl., 2024)

Optimization and comparison of machine learning algorithms for the prediction of the performance of football players. - Gianluca Morciano; Andrea Zingoni; Giuseppe Calabrò (Neural Comput. Appl., 2024)