8 papers
GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes
Davide Marelli, Giorgia Rigamonti, Mirko Paolo Barbato +1
Preprocessing blood glucose time-series data is a critical yet often overlooked step in developing data-driven methods for diabetes management, particularly for type 1 diabetes. Th…
Subject-Conditioned Glucose Forecasting in Type-1 Diabetes
Giorgia Rigamonti, Mirko Paolo Barbato, Davide Marelli +1
Accurate forecasting of blood glucose concentration is key in the management of Type 1 Diabetes, facilitating early detection of adverse glycemic events and supporting timely thera…
Cross-Camera Distracted Driver Classification through Feature Disentanglement and Contrastive Learning
Luigi Celona, Simone Bianco, Paolo Napoletano
The classification of distracted drivers is pivotal for ensuring safe driving. Previous studies demonstrated the effectiveness of neural networks in automatically predicting driver…
Tailoring Adverse Event Prediction in Type 1 Diabetes with Patient-Specific Deep Learning Models
Giorgia Rigamonti, Mirko Paolo Barbato, Davide Marelli +1
Effective management of Type 1 Diabetes requires continuous glucose monitoring and precise insulin adjustments to prevent hyperglycemia and hypoglycemia. With the growing adoption…
The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Prediction
Andrea Corsico, Giorgia Rigamonti, Simone Zini +2
In this work, we present a network-specific approach for predicting brain responses to complex multimodal movies, leveraging the Yeo 7-network parcellation of the Schaefer atlas. R…
Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion
Luigi Celona, Simone Bianco, Marco Donzella +1
State-of-The-Art (SoTA) image captioning models are often trained on the MicroSoft Common Objects in Context (MS-COCO) dataset, which contains human-annotated captions with an aver…