58 citations · 80 across the 8 of their papers we have counts for
8 papers
Explainable Detection of Depression Status Shifts from User Digital Traces
Loris Belcastro, Francesco Gervino, Fabrizio Marozzo +2
Every day, users generate digital traces (e.g., social media posts, chats, and online interactions) that are inherently timestamped and may reflect aspects of their mental state. T…
Navigating the Edge-Cloud Continuum: A State-of-Practice Survey
Loris Belcastro, Fabrizio Marozzo, Alessio Orsino +2
The edge-cloud continuum has emerged as a transformative paradigm that meets the growing demand for low-latency, scalable, end-to-end service delivery by integrating decentralized…
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Hugo Georgenthum, Cristian Cosentino, Fabrizio Marozzo +1
The automatic summarization of surgical videos is essential for enhancing procedural documentation, supporting surgical training, and facilitating post-operative analysis. This pap…
Dynamic hashtag recommendation in social media with trend shift detection and adaptation
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino +2
Hashtag recommendation systems have emerged as a key tool for automatically suggesting relevant hashtags and enhancing content categorization and search. However, existing static m…
Multi-Stakeholder Disaster Insights from Social Media Using Large Language Models
Loris Belcastro, Cristian Cosentino, Fabrizio Marozzo +2
In recent years, social media has emerged as a primary channel for users to promptly share feedback and issues during disasters and emergencies, playing a key role in crisis manage…
Detecting mental disorder on social media: a ChatGPT-augmented explainable approach
Loris Belcastro, Riccardo Cantini, Fabrizio Marozzo +2
In the digital era, the prevalence of depressive symptoms expressed on social media has raised serious concerns, necessitating advanced methodologies for timely detection. This pap…
Block size estimation for data partitioning in HPC applications using machine learning techniques
Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino +5
The extensive use of HPC infrastructures and frameworks for running dataintensive applications has led to a growing interest in data partitioning techniques and strategies. In fact…
Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence
Jorge Ejarque, Rosa M. Badia, Loïc Albertin +34
The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The co…