| 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 | 5 | 2022 |
| 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 | 2 | 2021 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | | 2021 |
| 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 | | |
