collaborators

5 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.CV2026

FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching

Danilo Danese, Angela Lombardi, Matteo Attimonelli +2

Brain Magnetic Resonance Imaging (MRI) plays a central role in studying neurological development, aging, and diseases. One key application is Brain Age Prediction (BAP), which esti…

cs.CV2026

WaveDiT: Distribution-Aware Wavelet Flow Matching for Efficient 3D Brain MRI Synthesis

Danilo Danese, Angela Lombardi, Giuseppe Fasano +2

Large and demographically balanced datasets are essential for reliable neuroimaging biomarkers. Full-resolution 3D brain MRI synthesis can support data augmentation in this setting…

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…