| 2026 | ICCS | A Comparative Analysis of EEG Network Construction Strategies for Discriminating PNES. | Ilaria Lazzaro, Valeria Popello, Chiara Zucco, Marianna Milano, Antonio Gambardella, Mario Cannataro |
| 2026 | ICCS | Network Curvature as a Geometric Biomarker for Identifying Disease-Related Subnetworks. | Marianna Milano, Pietro Hiram Guzzi |
| 2025 | ICCS | A Machine Learning-Based Framework for Predicting Candidate Drug Side Effects from Biological Networks. | Pietro Cinaglia, Giulia Pingitore, Marianna Milano, Mario Cannataro |
| 2025 | ICCS | Biological Community Detection with Graph Neural Network and Network Curvature Analysis on Gene Co-expression Networks. | Marianna Milano, Pietro Cinaglia, Mario Cannataro, Pietro Hiram Guzzi |
| 2024 | ICCS | A Graph-Theory Based fMRI Analysis. | Luca Barillaro, Marianna Milano, Maria Eugenia Caligiuri, Jelle R. Dalenberg, Giuseppe Agapito, Michael Biehl, Mario Cannataro |
| 2024 | ICCS | A Method for Inferring Candidate Disease-Disease Associations. | Pietro Cinaglia, Marianna Milano |
| 2024 | ICCS | A Pipeline for the Analysis of Multilayer Brain Networks. | Ilaria Lazzaro, Marianna Milano, Mario Cannataro |
| 2020 | EuroPar | A New Parallel Methodology for the Network Analysis of COVID-19 Data. | Giuseppe Agapito, Marianna Milano, Mario Cannataro |
| 2019 | EuroPar | Parallel Learning of Weighted Association Rules in Human Phenotype Ontology. | Giuseppe Agapito, Mario Cannataro, Pietro Hiram Guzzi, Marianna Milano |
| 2018 | EuroPar | Towards Heterogeneous Network Alignment: Design and Implementation of a Large-Scale Data Processing Framework. | Marianna Milano, Pierangelo Veltri, Mario Cannataro, Pietro Hiram Guzzi |
| 2017 | ICCS | Using Multi Network Alignment for Analysis of Connectomes. | Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro |
| 2014 | ICCS | Mining Association Rules from Gene Ontology and Protein Networks: Promises and Challenges. | Pietro Hiram Guzzi, Marianna Milano, Mario Cannataro |