Lorenzo Calisti

According to our database, Lorenzo Calisti authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Deep learning-driven sensing for sustainable Internet of Things.

Lorenzo Calisti, Chiara Contoli, Emanuele Lattanzi

Sustain. Comput. Informatics Syst., 2026

2025

Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network.

Emanuele Lattanzi, Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Susanna Peretti

IEEE Access, 2025

Deep Learning-based Data Collection to Reduce Energy Consumption in Internet of Things Devices.

Lorenzo Calisti, Emanuele Lattanzi

Proceedings of the 10th International Conference on Machine Learning Technologies, 2025

Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition?

Leonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Paolo Capellacci, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi

Proceedings of the 10th International Conference on Machine Learning Technologies, 2025

Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT.

Leonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi

Proceedings of the 2025 9th International Conference on Advances in Artificial Intelligence, 2025

2024

A power-aware vision-based virtual sensor for real-time edge computing.

Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Alessandro Bogliolo, Emanuele Lattanzi

J. Real Time Image Process., July, 2024

Real-Time Energy-Efficient Sensor Libraries for Wearable Devices.

Lorenzo Calisti, Emanuele Lattanzi

IEEE Access, 2024

A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing.

Nicholas Kania, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Giacomo Di Fabrizio, Luca Romanelli, Emanuele Lattanzi

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices.

Lorenzo Calisti, Chiara Contoli, Giacomo Di Fabrizio, Nicholas Kania, Emanuele Lattanzi

Proceedings of the 2024 9th International Conference on Machine Learning Technologies, 2024

Are Transformers a Useful Tool for Tiny devices in Human Activity Recognition?

Emanuele Lattanzi, Lorenzo Calisti, Chiara Contoli

Proceedings of the 8th International Conference on Advances in Artificial Intelligence, 2024

2023

Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition.

Emanuele Lattanzi, Lorenzo Calisti, Paolo Capellacci

Pervasive Mob. Comput., December, 2023

A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices.

Giacomo Di Fabrizio, Lorenzo Calisti, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition.

Emanuele Lattanzi, Lorenzo Calisti

Proceedings of the 8th International Conference on Machine Learning Technologies, 2023

SensorLib: an Energy-efficient Sensor-collection Library for Wear OS.

Lorenzo Calisti, Emanuele Lattanzi

Proceedings of the 4th European Symposium on Software Engineering, 2023

2022

Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens.

Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi

IEEE Access, 2022

2021

Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens.

Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi

CoRR, 2021