| 2025 | IJCNN | Autonomous Vehicle Localization via LiDAR-Based Classification of Dynamic and Static Tracks in Dynamic Environments. | Muhammad Adnan, Pamela Zontone, Lucio Marcenaro, David Martn Gmez, Carlo S. Regazzoni |
| 2025 | KES | Innovative Applications of Drones in Health Informatics: Real-Time Health Data Collection and Surveillance for Worker Safety in Construction Fields. | Pablo Flores Pea, Mohammad Sadeq Ale Isaac, Eleftheria Maria Pechlivani, Ahmed Refaat Ragab, Daniela Gfu, David Martn Gmez |
| 2024 | FUSION | Integrated Learning and Decision Making for Autonomous Agents through Energy based Bayesian Models. | Abrham Shiferaw Alemaw, Pamela Zontone, Lucio Marcenaro, Pablo Marin, David Martn Gmez, Carlo S. Regazzoni |
| 2024 | FUSION | Fusion of Physiological Signals for Modeling Driver Awareness Levels in Conditional Autonomous Vehicles using Semi-Supervised Learning. | Ral Fernandez-Matellan, David Puertas-Ramirez, David Martn Gmez, Jesus Boticario |
| 2024 | FUSION | Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems. | Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martn Gmez, Carlo S. Regazzoni |
| 2024 | ICASSP | Joint Data-Driven Analysis of Visual-Odometric Anomaly Signals in Generative Ai-Based Agents. | Giulia Slavic, Mattia Bracco, Lucio Marcenaro, David Martn Gmez, Carlo S. Regazzoni, Pamela Zontone |
| 2022 | AVSS | A Data-Driven Approach for the Localization of Interacting Agents via a Multi-Modal Dynamic Bayesian Network Framework. | Abrham Shiferaw Alemaw, Giulia Slavic, Hafsa Iqbal, Lucio Marcenaro, David Martn Gmez, Carlo S. Regazzoni |
| 2022 | AVSS | Simultaneous Localization and Anomaly Detection from First-Person Video Data through a Coupled Dynamic Bayesian Network Model. | Giulia Slavic, Pablo Marn-Plaza, Lucio Marcenaro, David Martn Gmez, Carlo S. Regazzoni |