5 papers
Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction
Alessandro Pagani, Marco Cominelli, Liying Han +11
This paper presents a preliminary analysis of the ability of Chronos foundation model to process and internally represent frequency domain information. Foundation models that proce…
Risk-aware Classification via Uncertainty Quantification
Murat Sensoy, Lance M. Kaplan, Simon Julier +2
Autonomous and semi-autonomous systems are using deep learning models to improve decision-making. However, deep classifiers can be overly confident in their incorrect predictions,…
Approaches to human activity recognition via passive radar
Christian Bresciani, Federico Cerutti, Marco Cominelli
The thesis explores novel methods for Human Activity Recognition (HAR) using passive radar with a focus on non-intrusive Wi-Fi Channel State Information (CSI) data. Traditional HAR…
Neuro-Symbolic Fusion of Wi-Fi Sensing Data for Passive Radar with Inter-Modal Knowledge Transfer
Marco Cominelli, Francesco Gringoli, Lance M. Kaplan +5
Wi-Fi devices, akin to passive radars, can discern human activities within indoor settings due to the human body's interaction with electromagnetic signals. Current Wi-Fi sensing a…
Assessing the Robustness of Intelligence-Driven Reinforcement Learning
Lorenzo Nodari, Federico Cerutti
Robustness to noise is of utmost importance in reinforcement learning systems, particularly in military contexts where high stakes and uncertain environments prevail. Noise and unc…