Graph-based Recommendation using Graph Neural Networks. - Marco Dossena; Christopher Irwin; Luigi Portinale (ICMLA, 2022)

Autoencoder with Dual Loss Function for Follow-up Estimation (Short paper). - Marco Dossena; Christopher Irwin (DC@AI*IA, 2023)

A Multi-label Classification Study for the Prediction of Long-COVID Syndrome. - Marco Dossena; Christopher Irwin; Luca Piovesan; Luigi Portinale (AI*IA, 2023)

Structural Positional Encoding for Knowledge Integration in Transformer-based Medical Process Monitoring. - Christopher Irwin; Marco Dossena; Giorgio Leonardi; Stefania Montani (HC@AIxIA, 2023)

Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Subtype Classification. - Annalisa Chiocchetti; Marco Dossena; Christopher Irwin; Luigi Portinale (CoRR, 2024)

Beyond Labels: A Self-Supervised Framework with Masked Autoencoders and Random Cropping for Breast Cancer Sub-type Classification. - Marco Dossena; Christopher Irwin; Annalisa Chiocchetti; Luigi Portinale (AAAI Spring Symposia, 2025)

HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways. - Cristian Cosentino; Annamaria Defilippo; Marco Dossena; Christopher Irwin; Sara Joubbi; Pietro Liò (CoRR, 2025)