3 papers
cs.MA2026
Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives
Francesco Musicco, Danilo Danese, Giuseppe Fasano +3
Feature-attribution methods such as SHAP provide useful evidence about individual model predictions, but their numerical outputs are rarely sufficient for audiences with different…
cs.IR2025
Use of Air Quality Sensor Network Data for Real-time Pollution-Aware POI Suggestion
Giuseppe Fasano, Yashar Deldjoo, Tommaso di Noia +6
This demo paper introduces AirSense-R, a privacy-preserving mobile application that delivers real-time, pollution-aware recommendations for urban points of interest (POIs). By merg…
cs.IR2025
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion
Giuseppe Fasano, Yashar Deldjoo, Tommaso Di Noia
This demo paper presents \airtown, a privacy-preserving mobile application that provides real-time, pollution-aware recommendations for points of interest (POIs) in urban environme…