UniMC - Pubblicazioni Aperte Digitali

Multi-Modal Large Language Model Driven Augmented Reality Situated Visualization: The Case of Wine Recognition

Situated Visualizations (SV) and reality-based information retrieval systems, enhanced by Mixed Reality (MR) and Augmented Reality (AR), enable the overlay of digital information onto real-world objects, providing context-aware content through computer vision. Despite their potential, these systems face significant challenges in scalability and adaptability, particularly for domains like wine recognition, where diverse label designs, frequent updates, and limited historical databases complica...

Towards Adoption of Reusable Food Packaging Schemes in the EU: A Legal and Policy Analysis with Development Perspectives

Federated Learning towards the unknown: a deep dive into diabetic retinopathy prediction from real-world EHR structured data on unseen diabetic centers

The compatibility of Federated Learning (FL) models with unseen Out-Of-Federation (OOF) centers remains a critical yet underexplored challenge, particularly when dealing with heterogeneous data. To address this gap, this study proposes a data-driven approach to assess the feasibility of applying an FL model to OOF centers. The case study explored is the prediction of diabetic retinopathy from multiple real-world, highly heterogeneous electronic health records. An FL XGBoost model (FL-XGB) is ...

Luxury Fashion Brands Communication on Gender Issues and Corporate Activism: Action or Hype?

As consumer expectations grow for brands to take meaningful stances on social and political issues, this study explores how the top nine luxury fashion brands are genuinely “walking the talk” in their advocacy for gender fluidity and inclusivity. Via the analysis of the top nine most valuable luxury fashion brands worldwide, we assess the authenticity of their corporate and brand activism through public messaging, internal policies, and sustainability initiatives. The research integrates a co...