3 citations · 5 across the 6 of their papers we have counts for
6 papers
Beyond Edge Deletion: A Comprehensive Approach to Counterfactual Explanation in Graph Neural Networks
Matteo De Sanctis, Riccardo De Sanctis, Stefano Faralli +2
Graph Neural Networks (GNNs) are increasingly adopted across domains such as molecular biology and social network analysis, yet their black-box nature hinders interpretability and…
A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series
Davide Gabrielli, Paola Velardi, Stefano Faralli +1
Continuous physiological monitoring is central to emergency care, yet deploying trustworthy AI is challenging. While LLMs can translate complex physiological signals into clinical…
AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence
Davide Gabrielli, Bardh Prenkaj, Paola Velardi +1
We introduce AI on the Pulse, a real-world-ready anomaly detection system that continuously monitors patients using a fusion of wearable sensors, ambient intelligence, and advanced…
TRADES: Generating Realistic Market Simulations with Diffusion Models
Leonardo Berti, Bardh Prenkaj, Paola Velardi
Financial markets are complex systems characterized by high statistical noise, nonlinearity, volatility, and constant evolution. Thus, modeling them is extremely hard. Here, we add…
V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions
Luca Podo, Marco Angelini, Paola Velardi
NL2VIS (natural language to visualization) is a promising and recent research area that involves interpreting natural language queries and translating them into visualizations that…
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences
Davide Gabrielli, Bardh Prenkaj, Paola Velardi
Monitoring the stress level in patients with neurodegenerative diseases can help manage symptoms, improve patient's quality of life, and provide insight into disease progression. I…