Michele Boldo

According to our database, Michele Boldo authored at least 9 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On the Query Strategies for Efficient Online Active Distillation.

Michele Boldo, Enrico Martini, Mirco De Marchi, Stefano Aldegheri, Nicola Bombieri

CoRR, 2023

A Dynamic and Collaborative Deep Inference Framework for Human Motion Analysis in Telemedicine.

Michele Boldo, Damiano Carra, Davide Quaglia, Nicola Bombieri

Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

2022

Enabling Gait Analysis in the Telemedicine Practice through Portable and Accurate 3D Human Pose Estimation.

Enrico Martini, Michele Boldo, Stefano Aldegheri, Nicola Valè, Mirko Filippetti, Nicola Smania, Matteo Bertucco, Alessandro Picelli, Nicola Bombieri

Comput. Methods Programs Biomed., 2022

Risk Assessment and Prediction in Human-Robot Interaction Through Assertion Mining and Pose Estimation.

Michele Boldo, Nicola Bombieri, Mirco De Marchi, Luca Geretti, Samuele Germiniani, Graziano Pravadelli

Proceedings of the 23rd IEEE Latin American Test Symposium, 2022

Integrating Wearable and Camera Based Monitoring in the Digital Twin for Safety Assessment in the Industry 4.0 Era.

Michele Boldo, Nicola Bombieri, Stefano Centomo, Mirco De Marchi, Florenc Demrozi, Graziano Pravadelli, Davide Quaglia, Cristian Turetta

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Practice, 2022

On the Pose Estimation Software for Measuring Movement Features in the Finger-to-Nose Test.

Enrico Martini, Nicola Valè, Michele Boldo, Anna Righetti, Nicola Smania, Nicola Bombieri

Proceedings of the IEEE International Conference on Digital Health, 2022

Process-driven Collision Prediction in Human-Robot Work Environments.

Luca Geretti, Stefano Centomo, Michele Boldo, Enrico Martini, Nicola Bombieri, Davide Quaglia, Tiziano Villa

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Preserving Data Privacy and Accuracy of Human Pose Estimation Software Based on CNN s for Remote Gait Analysis.

Enrico Martini, Michele Boldo, Stefano Aldegheri, Nicola Valè, Mirko Filippetti, Nicola Smania, Matteo Bertucco, Alessandro Picelli, Nicola Bombieri

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Real-time Human Pose Estimation at the Edge for Gait Analysis at a Distance.

Enrico Martini, Michele Boldo, Stefano Aldegheri, Mirco De Marchi, Nicola Valè, Mirko Filippetti, Nicola Smania, Matteo Bertucco, Alessandro Picelli, Nicola Bombieri

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022