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2020 – today
- 2024
[j1]Francesco Cerasuolo
, Alfredo Nascita, Giampaolo Bovenzi, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè, Dario Rossi:
MEMENTO: A novel approach for class incremental learning of encrypted traffic. Comput. Networks 245: 110374 (2024)- [c8]Vincenzo Spadari, Francesco Cerasuolo, Giampaolo Bovenzi, Antonio Pescapè:
An MLOps Framework for Explainable Network Intrusion Detection with MLflow. ISCC 2024: 1-6 - [c7]Francesco Cerasuolo, Idio Guarino, Vincenzo Spadari, Giuseppe Aceto, Antonio Pescapè:
XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification. IFIP Networking 2024: 757-762 - 2023
- [c6]Francesco Cerasuolo, Giampaolo Bovenzi, Christian Marescalco, Francesco Cirillo, Domenico Ciuonzo, Antonio Pescapè:
Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats. IEEE Big Data 2023: 3547-3555 - [c5]Alfredo Nascita, Francesco Cerasuolo, Giuseppe Aceto, Domenico Ciuonzo, Valerio Persico, Antonio Pescapè:
Explainable Mobile Traffic Classification: the Case of Incremental Learning. SAFE@CoNEXT 2023: 25-31 - 2022
- [c4]Alfredo Nascita, Francesco Cerasuolo, Davide Di Monda, Jonas Thern Aberia Garcia, Antonio Montieri, Antonio Pescapè:
Machine and Deep Learning Approaches for IoT Attack Classification. INFOCOM Workshops 2022: 1-6 - [c3]Giampaolo Bovenzi, Francesco Cerasuolo, Antonio Montieri, Alfredo Nascita, Valerio Persico, Antonio Pescapè:
A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic. ISCC 2022: 1-6 - [c2]Lorenzo Pappone, Francesco Cerasuolo, Valerio Persico, Domenico Ciuonzo, Antonio Pescapè, Flavio Esposito:
Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning. IFIP Networking 2022: 1-6
2010 – 2019
- 2012
- [c1]Francesco Cerasuolo, Francesco Cutugno, Vincenza Anna Leano:
Visualization with a New Visual Metaphor for Hierarchical and Stratified Temporal Domain. W2GIS 2012: 57-71
Coauthor Index
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