Prof Pietro Liò

Selected publications

• Taghizad, N. and Lio, P., 2025 (Published online). A Systematic Review on the Integrating Artificial Intelligence for Enhanced Fault Detection in Power Transmission Systems: A Smart Grid Approach Computing&AI Connect, v. 2 Doi: 10.69709/caic.2024.103229
• Singh, V., Khanzadeh, M., Davis, V., Rush, H., Rossi, E., Shrader, J. and Lio’, P., 2025 (Published online). Bayesian Binary Search Algorithms, v. 18 Doi: 10.3390/a18080452
• Purificato, A., Cassarà, G., Siciliano, F., Liò, P. and Silvestri, F., 2025 (Published online). Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems ACM Transactions on Recommender Systems, Doi: 10.1145/3742898
• Zahoor, S., Liò, P., Dias, G. and Hasanuzzaman, M., 2025. Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data. CoRR, v. abs/2501.15973
• Yan, C., Lu, X., Lio, P. and Hui, P., 2025. EARVP: Efficient Aggregation for Federated Learning With Robustness, Verifiability, and Privacy IEEE Transactions on Information Forensics and Security, v. 20 Doi: 10.1109/TIFS.2025.3576008
• Mamalakis, M., Mamalakis, A., Agartz, I., Mørch-Johnsen, LE., Murray, GK., Suckling, J. and Lio, P., 2025. Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks AI Open, v. 6 Doi: http://doi.org/10.1016/j.aiopen.2025.02.001
• Wang, R., Tian, Y., Liò, P. and Bianconi, G., 2025. Dirac-equation signal processing: Physics boosts topological machine learning Pnas Nexus, v. 4 Doi: 10.1093/pnasnexus/pgaf139
• Prinzi, F., Barbiero, P., Greco, C., Amorese, T., Cordasco, G., Liò, P., Vitabile, S. and Esposito, A., 2025. Using AI explainable models and handwriting/drawing tasks for psychological well-being Information Systems, v. 127 Doi: 10.1016/j.is.2024.102465
• Orka, NA., Awal, MA., Liò, P., Pogrebna, G., Ross, AG. and Moni, MA., 2025. Quantum deep learning in neuroinformatics: a systematic review Artificial Intelligence Review, v. 58 Doi: http://doi.org/10.1007/s10462-025-11136-7
• Wang, P., Lu, X. and Lio, P., 2025. Research on Privacy Protection Technology of "2+2" Verifiable Federated Learning IEEE Internet of Things Journal, v. 12 Doi: 10.1109/JIOT.2025.3554155