3 citations · 3 across the 4 of their papers we have counts for
5 papers
Causal Routing for Unlearning
Bardh Prenkaj, Andrea D'Angelo, Davide Mottin +4
LLMs cannot forget the way we delete a file. Strangely, we are asked to remove something that was never put anywhere in particular. What the model took from a piece of text is now…
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…
ECIR 2020 Workshops: Assessing the Impact of Going Online
Sérgio Nunes, Suzanne Little, Sumit Bhatia +11
ECIR 2020 https://ecir2020.org/ was one of the many conferences affected by the COVID-19 pandemic. The Conference Chairs decided to keep the initially planned dates (April 14-17, 2…