Classifying Simulated Driving Scenarios from Automated Cars. - Marianna Cossu; Jorge Leonardo Quimi Villon; Francesco Bellotti; Alessio Capello; Alessandro De Gloria; Luca Lazzaroni; Riccardo Berta (ApplePies, 2021)

Developing a Synthetic Dataset for Driving Scenarios. - Jacopo Motta; Francesco Bellotti; Riccardo Berta; Alessio Capello; Marianna Cossu; Alessandro De Gloria; Luca Lazzaroni; Stefano Bonora (ApplePies, 2021)

Adapting Autonomous Agents for Automotive Driving Games. - Gabriele Campodonico; Francesco Bellotti; Riccardo Berta; Alessio Capello; Marianna Cossu; Alessandro De Gloria; Luca Lazzaroni; Tommaso Taccioli; Federico Davio (GALA, 2021)

Investigating High-Level Decision Making for Automated Driving. - Alessio Capello; Luca Forneris; Alessandro Pighetti; Francesco Bellotti; Luca Lazzaroni; Marianna Cossu; Alessandro De Gloria; Riccardo Berta (ApplePies, 2022)

Developing a Toolchain for Synthetic Driving Scenario Datasets. - Marianna Cossu; Riccardo Berta; Alessio Capello; Alessandro De Gloria; Luca Lazzaroni; Francesco Bellotti (ApplePies, 2022)

Efficient Uploading of.Csv Datasets into a Non-Relational Database Management System. - Matteo Fresta; Francesco Bellotti; Alessio Capello; Marianna Cossu; Luca Lazzaroni; Alessandro De Gloria; Riccardo Berta (ApplePies, 2022)

Deep Reinforcement Learning for Automated Car Parking. - Luca Lazzaroni; Francesco Bellotti; Alessio Capello; Marianna Cossu; Alessandro De Gloria; Riccardo Berta (ApplePies, 2022)

High-Level Decision-Making Non-player Vehicles. - Alessandro Pighetti; Luca Forneris; Luca Lazzaroni; Francesco Bellotti; Alessio Capello; Marianna Cossu; Alessandro De Gloria; Riccardo Berta (GALA, 2022)

A Synthetic Dataset Generator for Automotive Overtaking Maneuver Detection. - Luca Forneris; Riccardo Berta; Alessio Capello; Marianna Cossu; Matteo Fresta; Fabio Tango; Francesco Bellotti (ApplePies, 2023)

Low-Cost, Edge-Cloud, End-to-End System Architecture for Human Activity Data Collection. - Matteo Fresta; Ali Dabbous; Francesco Bellotti; Alessio Capello; Luca Lazzaroni; Alessandro Pighetti; Riccardo Berta (ApplePies, 2023)

Automated Parking in CARLA: A Deep Reinforcement Learning-Based Approach. - Luca Lazzaroni; Alessandro Pighetti; Francesco Bellotti; Alessio Capello; Marianna Cossu; Riccardo Berta (ApplePies, 2023)

A Teacher-Configurable Scoring System for Serious Games. - Alessandro Pighetti; Luca Forneris; Francesco Bellotti; Alessio Capello; Marianna Cossu; Giuseppe Gioco; Riccardo Berta (GALA, 2023)

Supporting a .csv-based Workflow in MongoDB for Data Analysts. - Matteo Fresta; Alessio Capello; Francesco Bellotti; Luca Lazzaroni; Marianna Cossu; Riccardo Berta (ISIE, 2023)

Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations. - Francesco Bellotti; Luca Lazzaroni; Alessio Capello; Marianna Cossu; Alessandro De Gloria; Riccardo Berta (IEEE Access, 2023)

Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case. - Alessio Capello; Matteo Fresta; Francesco Bellotti; Hamed Haghighi; Johannes Hiller; Sajjad Mozaffari; Riccardo Berta (Sensors, 2023)

Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles. - Luca Forneris; Alessandro Pighetti; Luca Lazzaroni; Francesco Bellotti; Alessio Capello; Marianna Cossu; Riccardo Berta (Int. J. Serious Games, 2023)

Leveraging Neural Architecture Search for Structural Health Monitoring on Resource-Constrained Devices. - Alessio Capello; Riccardo Berta; Matteo Fresta; Luca Lazzaroni; Francesco Bellotti (ApplePies, 2024)

Domain-Adversarial Neural Networks (DANN) for Cross-Sport Activity Recognition. - Matteo Fresta; Riccardo Berta; Alessio Capello; Hadi Ballout; Ali Dabbous; Francesco Bellotti (ApplePies, 2024)

An End-to-End Edge-Computing Framework for IoT-enabled Monitoring. - Alessio Capello (2025)