Challenges and solutions to the student dropout prediction problem in online courses B Prenkaj, G Stilo, L Madeddu Proceedings of the 29th acm international conference on information …, 2020 | 21 | 2020 |
Assessment of community efforts to advance network-based prediction of protein–protein interactions XW Wang, L Madeddu, K Spirohn, L Martini, A Fazzone, L Becchetti, ... Nature communications 14 (1), 1582, 2023 | 18* | 2023 |
A feature-learning-based method for the disease-gene prediction problem L Madeddu, G Stilo, P Velardi International Journal of Data Mining and Bioinformatics 24 (1), 16-37, 2020 | 14 | 2020 |
A network-based analysis of disease modules from a taxonomic perspective G Grani, L Madeddu, P Velardi IEEE Journal of Biomedical and Health Informatics 26 (4), 1773-1781, 2021 | 4 | 2021 |
Deep Graph Networks for Drug Repurposing with Multi-Protein Targets D Bacciu, F Errica, A Gravina, L Madeddu, M Podda, G Stilo IEEE Transactions on Emerging Topics in Computing, 2023 | 3 | 2023 |
Deep Learning Methods for Network Biology L Madeddu, G Stilo DEEP LEARNING IN BIOLOGY AND MEDICINE, 197-246, 2022 | 2 | 2022 |
Predicting disease genes for complex diseases using random watcher-walker L Madeddu, G Stilo, P Velardi Proceedings of the 35th Annual ACM Symposium on Applied Computing, 458-465, 2020 | 2 | 2020 |
Predicting disease genes using connectivity and functional features L Madeddu, G Stilo, P Velardi 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 2 | 2019 |
Integrating categorical and structural proximity in Disease Ontologies L Madeddu, G Grani, P Velardi 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
Ontological and Connectivity Structure of Disease-Gene Modules in the Human Interactome P Velardi, L Madeddu Artificial Intelligence in Medicine, 1--15, 2021 | 1* | 2021 |
Machine learning methods for extracting medical knowledge from the human interactome L Madeddu | | 2022 |