Nicholas Kania

According to our database, Nicholas Kania authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

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

Inference-Driven Window Sizing for Enhanced Human Activity Recognition in IoT Devices.

Nicholas Kania, Chiara Contoli, Valerio Freschi, Emanuele Lattanzi

IEEE Access, 2025

Temporal Distance Based Self-Supervised Learning for Human Activity Recognition.

Leonardo Bigelli, Chiara Contoli, Nicholas Kania, Emanuele Lattanzi

Proceedings of the Sixth International Conference on Intelligent Data Science Technologies and Applications, 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

Enhancing Stellar Distance Estimation with Uncertainty-Weighted Loss Functions in Deep Learning Models.

Nicholas Kania, Deborah Busonero, Chiara Contoli, Valerio Freschi, Emanuele Lattanzi

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

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

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