Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning. - Giorgia Franchini; Mathilde Galinier; Micaela Verucchi (INNSBDDL, 2019)

A Systematic Assessment of Embedded Neural Networks for Object Detection. - Micaela Verucchi; Gianluca Brilli; Davide Sapienza; Mattia Verasani; Marco Arena; Francesco Gatti; Alessandro Capotondi; Roberto Cavicchioli; Marko Bertogna; Marco Solieri (ETFA, 2020)

Real-Time clustering and LiDAR-camera fusion on embedded platforms for self-driving cars. - Micaela Verucchi; Luca Bartoli; Fabio Bagni; Francesco Gatti; Paolo Burgio; Marko Bertogna (IRC, 2020)

Latency-Aware Generation of Single-Rate DAGs from Multi-Rate Task Sets. - Micaela Verucchi; Mirco Theile; Marco Caccamo; Marko Bertogna (RTAS, 2020)

All You Can Embed: Natural Language Based Vehicle Retrieval With Spatio-Temporal Transformers. - Carmelo Scribano; Davide Sapienza; Giorgia Franchini; Micaela Verucchi; Marko Bertogna (CVPR Workshops, 2021)

Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles. - Ayoosh Bansal; Jayati Singh; Micaela Verucchi; Marco Caccamo; Lui Sha (MECO, 2021)

Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds. - Ayoub Raji; Alexander Liniger; Andrea Giove; Alessandro Toschi; Nicola Musiu; Daniele Morra; Micaela Verucchi; Danilo Caporale; Marko Bertogna (ITSC, 2022)

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. - Giorgia Franchini; Micaela Verucchi; Ambra Catozzi; Federica Porta; Marco Prato (Algorithms, 2022)

A Novel Real-Time Edge-Cloud Big Data Management and Analytics Framework for Smart Cities. - Roberto Cavicchioli; Riccardo Martoglia; Micaela Verucchi (J. Univers. Comput. Sci., 2022)

Model-Based Underwater 6D Pose Estimation from RGB. - Davide Sapienza; Elena Govi; Sara Aldhaheri; Giorgia Franchini; Marko Bertogna; Eloy Roura; Èric Pairet; Micaela Verucchi; Paola Ardón (CoRR, 2023)

Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation. - Elena Govi; Davide Sapienza; Carmelo Scribano; Tobia Poppi; Giorgia Franchini; Paola Ardón; Micaela Verucchi; Marko Bertogna (CoRR, 2023)

A benchmark analysis of data-driven and geometric approaches for robot ego-motion estimation. - Marco Legittimo; Simone Felicioni; Fabio Bagni; Andrea Tagliavini; Alberto Dionigi; Francesco Gatti; Micaela Verucchi; Gabriele Costante; Marko Bertogna (J. Field Robotics, 2023)

A survey on real-time DAG scheduling, revisiting the Global-Partitioned Infinity War. - Micaela Verucchi; Ignacio Sañudo Olmedo; Marko Bertogna (Real Time Syst., 2023)

Model-Based Underwater 6D Pose Estimation From RGB. - Davide Sapienza; Elena Govi; Sara Aldhaheri; Marko Bertogna; Eloy Roura; Èric Pairet; Micaela Verucchi; Paola Ardón (IEEE Robotics Autom. Lett., 2023)

Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation. - Alessandro Toschi; Nicola Musiu; Francesco Gatti; Ayoub Raji; Francesco Amerotti; Micaela Verucchi; Marko Bertogna (IV, 2024)

er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds. - Ayoub Raji; Danilo Caporale; Francesco Gatti; Andrea Giove; Micaela Verucchi; Davide Malatesta; Nicola Musiu; Alessandro Toschi; Silviu Roberto Popitanu; Fabio Bagni; Massimiliano Bosi; Alexander Liniger; et al. (Field Robotics, 2024)