Lorenzo Calisti

16 papers Misc 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep learning-driven sensing for sustainable Internet of Things.
Sustain. Comput. Informatics Syst.
Lorenzo Calisti, Chiara Contoli, Emanuele Lattanzi
2025 — conf
Can LLMs Learn the Language of Inertial Sensors in Human Activity Recognition?
ICMLT
Leonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Paolo Capellacci, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi
2025 — conf
Deep Learning-based Data Collection to Reduce Energy Consumption in Internet of Things Devices.
ICMLT
Lorenzo Calisti, Emanuele Lattanzi
2025 J jnl
Semantic Template Recognition of Human Activities in Wearable Sensor Data Using Siamese Network.
IEEE Access
Emanuele Lattanzi, Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Susanna Peretti
2025 — conf
Teaching LLMs to Move: Generation of Human Activity Sensor Traces with BERT.
ICAAI
Leonardo Bigelli, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi
2024 — conf
A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge Computing.
PerCom Workshops
Nicholas Kania, Alessandro Bogliolo, Lorenzo Calisti, Chiara Contoli, Giacomo Di Fabrizio, Luca Romanelli, Emanuele Lattanzi
2024 J jnl
A power-aware vision-based virtual sensor for real-time edge computing.
J. Real Time Image Process.
Chiara Contoli, Lorenzo Calisti, Giacomo Di Fabrizio, Nicholas Kania, Alessandro Bogliolo, Emanuele Lattanzi
2024 — conf
Are Transformers a Useful Tool for Tiny devices in Human Activity Recognition?
ICAAI
Emanuele Lattanzi, Lorenzo Calisti, Chiara Contoli
2024 — conf
EESiamese: Energy-efficient Siamese Neural Network for Constrained Devices.
ICMLT
Lorenzo Calisti, Chiara Contoli, Giacomo Di Fabrizio, Nicholas Kania, Emanuele Lattanzi
2024 J jnl
Real-Time Energy-Efficient Sensor Libraries for Wearable Devices.
IEEE Access
Lorenzo Calisti, Emanuele Lattanzi
2023 Misc conf
A Study on the energy-efficiency of the Object Tracking Algorithms in Edge Devices.
UCC
Giacomo Di Fabrizio, Lorenzo Calisti, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi
2023 — conf
Energy-aware Tiny Machine Learning for Sensor-based Hand-washing Recognition.
ICMLT
Emanuele Lattanzi, Lorenzo Calisti
2023 J jnl
Lightweight accurate trigger to reduce power consumption in sensor-based continuous human activity recognition.
Pervasive Mob. Comput.
Emanuele Lattanzi, Lorenzo Calisti, Paolo Capellacci
2023 — conf
SensorLib: an Energy-efficient Sensor-collection Library for Wear OS.
ESSE
Lorenzo Calisti, Emanuele Lattanzi
2022 J jnl
Unstructured Handwashing Recognition Using Smartwatch to Reduce Contact Transmission of Pathogens.
IEEE Access
Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi
2021 J jnl
Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens.
CoRR
Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi