Edgine, A Runtime System for IoT Edge Applications. - Riccardo Berta; Andrea Mazzara; Francesco Bellotti; Alessandro De Gloria; Luca Lazzaroni (ApplePies, 2020)

Employing an IoT Framework as a Generic Serious Games Analytics Engine. - Luca Lazzaroni; Andrea Mazzara; Francesco Bellotti; Alessandro De Gloria; Riccardo Berta (GALA, 2020)

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)

A Serious Game for Using Socio-Economic and Trust Based Decision-Making Scenarios for Elicitation of Emotional Responses. - Fahad Ahmed; Jesús Requena-Carrión; Francesco Bellotti; Luca Lazzaroni; Giacinto Barresi; Riccardo Berta (GALA, 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)

Assessing Versatility of a Generic End-to-End Platform for IoT Ecosystem Applications. - Riccardo Berta; Francesco Bellotti; Alessandro De Gloria; Luca Lazzaroni (Sensors, 2022)

YoloP-Based Pre-processing for Driving Scenario Detection. - Marianna Cossu; Riccardo Berta; Luca Forneris; Matteo Fresta; Luca Lazzaroni; Jean-Louis Sauvaget; 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)

Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations. - Alessandro Pighetti; Francesco Bellotti; Changjae Oh; Luca Lazzaroni; Luca Forneris; Matteo Fresta; Riccardo Berta (ApplePies, 2023)

Application of a Serious Game for Emotion Elicitation Under Socio-Economic and Trust Based Decision-Making Scenarios for Autistic Adolescents. - Fahad Ahmed; Riccardo Berta; Francesco Bellotti; Federica Floris; Luca Lazzaroni; Giacinto Barresi; Jesús Requena-Carrión (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)

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)

Runtime Input Monitoring of a Reinforcement Learning-Based Agent for Automated Car Parking. - Hadi Ballout; Riccardo Berta; Igor Bochenko; Luca Lazzaroni; Akshay Dhonthi; Vahid Hashemi; Francesco Bellotti (ApplePies, 2024)

Performance Comparison of YOLOv8 and YOLOv10 for Traffic Light Detection on a Jetson Nano Board. - Hadi Ballout; Riccardo Berta; Ali Dabbous; Matteo Fresta; Luca Lazzaroni; Alessandro Pighetti; Francesco Bellotti (ApplePies, 2024)

Robustness Verification of a Reinforcement Learning-Based Agent for Automated Car Parking. - Francesco Bellotti; Riccardo Berta; Vafali Soltanmuradov; David Martín Gómez; Akshay Dhonthi; Vahid Hashemi; Luca Lazzaroni (ApplePies, 2024)

RL-Based Generation of a Synthetic Automotive Driving Scenario Dataset. - Riccardo Berta; Francesco Bellotti; Marianna Cossu; Luca Forneris; Luca Lazzaroni; Alessandro Pighetti (ApplePies, 2024)

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

Comparing Detection-Based and Motion-Based Preprocessing of Video Frames for Automated Driving Scenario Detection. - Marianna Cossu; Riccardo Berta; Mohammad Ali Bagheri Orumi; Luca Lazzaroni; Jean-Louis Sauvaget; Hind Touil; Francesco Bellotti (ApplePies, 2024)

Benchmarking Microcontrollers with Ultra-Low Resolution Images Classification. - Ali Dabbous; Riccardo Berta; Luca Lazzaroni; Alessandro Pighetti; Francesco Bellotti (ApplePies, 2024)

Setting Up a Lightweight Simulation Environment for Automated Driving Dataset Collection. - Luca Forneris; Francesco Bellotti; Riccardo Berta; Marianna Cossu; Matteo Fresta; Raziye Rezaieamale; Hadise Rojhan; Vafali Soltanmuradov; Fabio Tango; Luca Lazzaroni (ApplePies, 2024)

Exploring Decision Transformer for Highway Automated Driving. - Luca Forneris; Francesco Bellotti; Riccardo Berta; Luca Lazzaroni; Changjae Oh (ApplePies, 2024)

Quantization of MobileNetV2 for Resource-Constrained Microcontrollers. - Luca Lazzaroni; Francesco Bellotti; Ali Dabbous; Alessandro Pighetti; Riccardo Berta (ApplePies, 2024)

Green Machine Learning for the IoT (GEMINI): A Position Paper. - Luca Lazzaroni; Ali Dabbous; Matteo Nardello; Muath Abu Lebdeh; Riccardo Berta; Kasim Sinan Yildirim; Francesco Bellotti; Davide Brunelli (ApplePies, 2024)

An embedded end-to-end voice assistant. - Luca Lazzaroni; Francesco Bellotti; Riccardo Berta (Eng. Appl. Artif. Intell., 2024)

Binary Neural Networks for Real-Time Structural Health Monitoring on Edge Devices. - Ali Dabbous; Luca Lazzaroni; Fouad Sakr; Riccardo Berta; Matteo Fresta; Francesco Bellotti (ICCE, 2025)

Deep Learning-Based Real-Time Driver Cognitive Distraction Detection. - Matteo Fresta; Francesco Bellotti; Igor Bochenko; Luca Lazzaroni; Gaëtan Merlhiot; Fabio Tango; Riccardo Berta (IEEE Access, 2025)

Lane Change Intention Recognition Dataset. - Luca Forneris; Riccardo Berta; Matteo Fresta; Luca Lazzaroni; Hadise Rojhan; Changjae Oh; Alessandro Pighetti; Fabio Tango; Francesco Bellotti (Zenodo, 2025)