Predicting Disease Genes Using Connectivity and Functional Features. - Lorenzo Madeddu; Giovanni Stilo; Paola Velardi (BIBM, 2019)

Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses. - Bardh Prenkaj; Giovanni Stilo; Lorenzo Madeddu (CIKM, 2020)

Predicting disease genes for complex diseases using random watcher-walker. - Lorenzo Madeddu; Giovanni Stilo; Paola Velardi (SAC, 2020)

A feature-learning-based method for the disease-gene prediction problem. - Lorenzo Madeddu; Giovanni Stilo; Paola Velardi (Int. J. Data Min. Bioinform., 2020)

Integrating categorical and structural proximity in Disease Ontologies. - Lorenzo Madeddu; Giorgio Grani; Paola Velardi (EMBC, 2021)

A Network-Based Analysis of Disease Modules From a Taxonomic Perspective. - Giorgio Grani; Lorenzo Madeddu; Paola Velardi (IEEE J. Biomed. Health Informatics, 2022)

Machine learning methods for extracting medical knowledge from the human interactome. - Lorenzo Madeddu (2022)

Deep Graph Networks for Drug Repurposing With Multi-Protein Targets. - Davide Bacciu; Federico Errica; Alessio Gravina; Lorenzo Madeddu; Marco Podda; Giovanni Stilo (IEEE Trans. Emerg. Top. Comput., 2024)