4 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…
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…
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…