A historical perspective of biomedical explainable AI research. - Luca Malinverno; Vesna Barros; Francesco Ghisoni; Giovanni Visonà; Roman Kern; Philip J. Nickel; Barbara Elvira Ventura; Ilija Simic; Sarah Stryeck; Francesca Manni; César Ferri; Claire Jean-Quartier; et al. (Patterns, 2023)

Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information. - Giovanni Visonà; Diane Duroux; Lucas Miranda 002; Emese Sükei; Yiran Li; Karsten M. Borgwardt; Carlos G. Oliver (Bioinform., 2023)

Network propagation for GWAS analysis: a practical guide to leveraging molecular networks for disease gene discovery. - Giovanni Visonà; Emmanuelle Bouzigon; Florence Demenais; Gabriele Beate Schweikert (Briefings Bioinform., 2024)