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Luca Lazzaroni

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2020 – today

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2025
[j5]
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Matteo Fresta, Francesco Bellotti, Igor Bochenko, Luca Lazzaroni, Gaëtan Merlhiot, Fabio Tango, Riccardo Berta:
Deep Learning-Based Real-Time Driver Cognitive Distraction Detection. IEEE Access 13: 26589-26607 (2025)
[c29]
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Ali Dabbous, Luca Lazzaroni, Fouad Sakr, Riccardo Berta, Matteo Fresta, Francesco Bellotti:
Binary Neural Networks for Real-Time Structural Health Monitoring on Edge Devices. ICCE 2025: 1-4
2024
[j4]
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Luca Lazzaroni, Francesco Bellotti, Riccardo Berta:
An embedded end-to-end voice assistant. Eng. Appl. Artif. Intell. 136: 108998 (2024)
[c28]
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Luca Forneris, Francesco Bellotti, Riccardo Berta, Luca Lazzaroni, Changjae Oh:
Exploring Decision Transformer for Highway Automated Driving. ApplePies 2024: 123-130
[c27]
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Francesco Bellotti, Riccardo Berta, Vafali Soltanmuradov, David Martín Gómez, Akshay Dhonthi, Vahid Hashemi, Luca Lazzaroni:
Robustness Verification of a Reinforcement Learning-Based Agent for Automated Car Parking. ApplePies 2024: 139-147
[c26]
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Luca Forneris, Francesco Bellotti, Riccardo Berta, Marianna Cossu, Matteo Fresta, Raziye Rezaieamale, Hadise Rojhan, Vafali Soltanmuradov, Fabio Tango, Luca Lazzaroni:
Setting Up a Lightweight Simulation Environment for Automated Driving Dataset Collection. ApplePies 2024: 156-163
[c25]
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Ali Dabbous, Riccardo Berta, Luca Lazzaroni, Alessandro Pighetti, Francesco Bellotti:
Benchmarking Microcontrollers with Ultra-Low Resolution Images Classification. ApplePies 2024: 234-241
[c24]
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Hadi Ballout, Riccardo Berta, Ali Dabbous, Matteo Fresta, Luca Lazzaroni, Alessandro Pighetti, Francesco Bellotti:
Performance Comparison of YOLOv8 and YOLOv10 for Traffic Light Detection on a Jetson Nano Board. ApplePies 2024: 242-249
[c23]
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Marianna Cossu, Riccardo Berta, Mohammad Ali Bagheri Orumi, Luca Lazzaroni, Jean-Louis Sauvaget, Hind Touil, Francesco Bellotti:
Comparing Detection-Based and Motion-Based Preprocessing of Video Frames for Automated Driving Scenario Detection. ApplePies 2024: 250-257
[c22]
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Alessio Capello, Riccardo Berta, Matteo Fresta, Luca Lazzaroni, Francesco Bellotti:
Leveraging Neural Architecture Search for Structural Health Monitoring on Resource-Constrained Devices. ApplePies 2024: 323-330
[c21]
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Luca Lazzaroni, Ali Dabbous, Matteo Nardello, Muath Abu Lebdeh, Riccardo Berta, Kasim Sinan Yildirim, Francesco Bellotti, Davide Brunelli:
Green Machine Learning for the IoT (GEMINI): A Position Paper. ApplePies 2024: 339-346
[c20]
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Hadi Ballout, Riccardo Berta, Igor Bochenko, Luca Lazzaroni, Akshay Dhonthi, Vahid Hashemi, Francesco Bellotti:
Runtime Input Monitoring of a Reinforcement Learning-Based Agent for Automated Car Parking. ApplePies 2024: 387-394
[c19]
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Riccardo Berta, Francesco Bellotti, Marianna Cossu, Luca Forneris, Luca Lazzaroni, Alessandro Pighetti:
RL-Based Generation of a Synthetic Automotive Driving Scenario Dataset. ApplePies 2024: 395-402
[c18]
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Luca Lazzaroni, Francesco Bellotti, Ali Dabbous, Alessandro Pighetti, Riccardo Berta:
Quantization of MobileNetV2 for Resource-Constrained Microcontrollers. ApplePies 2024: 497-504
2023
[j3]
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  - journals/access/BellottiLCCGB23
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Francesco Bellotti, Luca Lazzaroni, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
Explaining a Deep Reinforcement Learning (DRL)-Based Automated Driving Agent in Highway Simulations. IEEE Access 11: 28522-28550 (2023)
[j2]
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Luca Forneris, Alessandro Pighetti, Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Riccardo Berta:
Implementing Deep Reinforcement Learning (DRL)-based Driving Styles for Non-Player Vehicles. Int. J. Serious Games 10(4): 153-170 (2023)
[c17]
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Alessandro Pighetti, Francesco Bellotti, Changjae Oh, Luca Lazzaroni, Luca Forneris, Matteo Fresta, Riccardo Berta:
Investigating Adversarial Policy Learning for Robust Agents in Automated Driving Highway Simulations. ApplePies 2023: 124-129
[c16]
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Luca Lazzaroni, Alessandro Pighetti, Francesco Bellotti, Alessio Capello, Marianna Cossu, Riccardo Berta:
Automated Parking in CARLA: A Deep Reinforcement Learning-Based Approach. ApplePies 2023: 352-357
[c15]
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Marianna Cossu, Riccardo Berta, Luca Forneris, Matteo Fresta, Luca Lazzaroni, Jean-Louis Sauvaget, Francesco Bellotti:
YoloP-Based Pre-processing for Driving Scenario Detection. ApplePies 2023: 418-423
[c14]
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Matteo Fresta, Ali Dabbous, Francesco Bellotti, Alessio Capello, Luca Lazzaroni, Alessandro Pighetti, Riccardo Berta:
Low-Cost, Edge-Cloud, End-to-End System Architecture for Human Activity Data Collection. ApplePies 2023: 444-449
[c13]
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Fahad Ahmed, Riccardo Berta, Francesco Bellotti, Federica Floris, Luca Lazzaroni, Giacinto Barresi, Jesús Requena-Carrión:
Application of a Serious Game for Emotion Elicitation Under Socio-Economic and Trust Based Decision-Making Scenarios for Autistic Adolescents. GALA 2023: 170-180
[c12]
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Matteo Fresta, Alessio Capello, Francesco Bellotti, Luca Lazzaroni, Marianna Cossu, Riccardo Berta:
Supporting a .csv-based Workflow in MongoDB for Data Analysts. ISIE 2023: 1-4
2022
[j1]
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  - journals/sensors/BertaBGL22
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Riccardo Berta, Francesco Bellotti, Alessandro De Gloria, Luca Lazzaroni:
Assessing Versatility of a Generic End-to-End Platform for IoT Ecosystem Applications. Sensors 22(3): 713 (2022)
[c11]
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Matteo Fresta, Francesco Bellotti, Alessio Capello, Marianna Cossu, Luca Lazzaroni, Alessandro De Gloria, Riccardo Berta:
Efficient Uploading of.Csv Datasets into a Non-Relational Database Management System. ApplePies 2022: 9-15
[c10]
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Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
Deep Reinforcement Learning for Automated Car Parking. ApplePies 2022: 125-130
[c9]
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Marianna Cossu, Riccardo Berta, Alessio Capello, Alessandro De Gloria, Luca Lazzaroni, Francesco Bellotti:
Developing a Toolchain for Synthetic Driving Scenario Datasets. ApplePies 2022: 222-228
[c8]
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Alessio Capello, Luca Forneris, Alessandro Pighetti, Francesco Bellotti, Luca Lazzaroni, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
Investigating High-Level Decision Making for Automated Driving. ApplePies 2022: 307-311
[c7]
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Fahad Ahmed, Jesús Requena-Carrión, Francesco Bellotti, Luca Lazzaroni, Giacinto Barresi, Riccardo Berta:
A Serious Game for Using Socio-Economic and Trust Based Decision-Making Scenarios for Elicitation of Emotional Responses. GALA 2022: 43-52
[c6]
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Alessandro Pighetti, Luca Forneris, Luca Lazzaroni, Francesco Bellotti, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Riccardo Berta:
High-Level Decision-Making Non-player Vehicles. GALA 2022: 223-233
2021
[c5]
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Marianna Cossu, Jorge Leonardo Quimi Villon, Francesco Bellotti, Alessio Capello, Alessandro De Gloria, Luca Lazzaroni, Riccardo Berta:
Classifying Simulated Driving Scenarios from Automated Cars. ApplePies 2021: 229-235
[c4]
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Jacopo Motta, Francesco Bellotti, Riccardo Berta, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Luca Lazzaroni, Stefano Bonora:
Developing a Synthetic Dataset for Driving Scenarios. ApplePies 2021: 310-316
[c3]
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  - conf/gala/CampodonicoBBCC21
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Gabriele Campodonico, Francesco Bellotti, Riccardo Berta, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Luca Lazzaroni, Tommaso Taccioli, Federico Davio:
Adapting Autonomous Agents for Automotive Driving Games. GALA 2021: 101-110
2020
[c2]
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  - conf/applepies/BertaMBGL20
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Riccardo Berta, Andrea Mazzara, Francesco Bellotti, Alessandro De Gloria, Luca Lazzaroni:
Edgine, A Runtime System for IoT Edge Applications. ApplePies 2020: 261-266
[c1]
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Luca Lazzaroni, Andrea Mazzara, Francesco Bellotti, Alessandro De Gloria, Riccardo Berta:
Employing an IoT Framework as a Generic Serious Games Analytics Engine. GALA 2020: 79-88

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