| On the use of machine learning approaches for the early classification in network intrusion detection I Guarino, G Bovenzi, D Di Monda, G Aceto, D Ciuonzo, A Pescapé 2022 IEEE International symposium on measurements & networking (M&N), 1-6, 2022 | 22 | 2022 |
| Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapè Computer Networks 219, 109452, 2022 | 21 | 2022 |
| Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification I Guarino, C Wang, A Finamore, A Pescape, D Rossi arXiv preprint arXiv:2305.12432, 2023 | 10 | 2023 |
| Classification of communication and collaboration apps via advanced deep-learning approaches I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapé 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design …, 2021 | 10 | 2021 |
| Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapè IEEE Open Journal of the Communications Society, 2024 | 9 | 2024 |
| XAI for interpretable multimodal architectures with contextual input in mobile network traffic classification F Cerasuolo, I Guarino, V Spadari, G Aceto, A Pescapé 2024 IFIP Networking Conference (IFIP Networking), 757-762, 2024 | 3 | 2024 |
| Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps via Deep-Learning: a First Look at Explainability I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapé ICC 2023-IEEE International Conference on Communications, 1609-1615, 2023 | 3 | 2023 |
| Mobile network traffic prediction using high order Markov chains trained at multiple granularity I Guarino, A Nascita, G Aceto, A Pescapà 2021 IEEE 6th International Forum on Research and Technology for Society and …, 2021 | 3 | 2021 |
| Characterizing and modeling traffic of communication and collaboration apps bloomed with COVID-19 outbreak I Guarino, G Aceto, D Ciuonzo, A Montieri, V Persico, A Pescapè 2021 IEEE 6th International Forum on Research and Technology for Society and …, 2021 | 3 | 2021 |
| A Comparison Between Classical and Quantum Machine Learning for Mobile App Traffic Classification V Spadari, I Guarino, D Ciuonzo, A Pescapè 2024 IEEE/ACM Symposium on Edge Computing (SEC), 461-467, 2024 | | 2024 |
| Mirage-App× Act-2024: A Novel Dataset for Mobile App and Activity Traffic Analysis I Guarino, D Ciuonzo, A Montieri, A Pescapè 2024 20th International Conference on Wireless and Mobile Computing …, 2024 | | 2024 |
| Explainable Predictive Analysis of the Economic and Financial Performance of Italian Publicly Owned Companies I Guarino, A Montieri, D Ciuonzo, A Pescape | | |
| MIRAGE-APP× ACT-2024 I Guarino, D Ciuonzo, A Montieri, A Pescapè | | |
Antonio PescapèProfessor, University of Napoli Federico II / Università di Napoli Federico II確認したメール アドレス: unina.it
