Visualization with a New Visual Metaphor for Hierarchical and Stratified Temporal Domain. - Francesco Cerasuolo; Francesco Cutugno; Vincenza Anna Leano (W2GIS, 2012)

Machine and Deep Learning Approaches for IoT Attack Classification. - Alfredo Nascita; Francesco Cerasuolo; Davide Di Monda; Jonas Thern Aberia Garcia; Antonio Montieri; Antonio Pescapè (INFOCOM Workshops, 2022)

A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic. - Giampaolo Bovenzi; Francesco Cerasuolo; Antonio Montieri; Alfredo Nascita; Valerio Persico; Antonio Pescapè (ISCC, 2022)

Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning. - Lorenzo Pappone; Francesco Cerasuolo; Valerio Persico; Domenico Ciuonzo; Antonio Pescapè; Flavio Esposito (IFIP Networking, 2022)

Adaptive Intrusion Detection Systems: Class Incremental Learning for IoT Emerging Threats. - Francesco Cerasuolo; Giampaolo Bovenzi; Christian Marescalco; Francesco Cirillo; Domenico Ciuonzo; Antonio Pescapè (IEEE Big Data, 2023)

Explainable Mobile Traffic Classification: the Case of Incremental Learning. - Alfredo Nascita; Francesco Cerasuolo; Giuseppe Aceto; Domenico Ciuonzo; Valerio Persico; Antonio Pescapè (SAFE@CoNEXT, 2023)

Explainable Few-Shot Class Incremental Learning for Mobile Network Traffic Classification. - Francesco Cerasuolo; Giampaolo Bovenzi; Vincenzo Spadari; Domenico Ciuonzo; Antonio Pescapè (GLOBECOM, 2024)

An MLOps Framework for Explainable Network Intrusion Detection with MLflow. - Vincenzo Spadari; Francesco Cerasuolo; Giampaolo Bovenzi; Antonio Pescapè (ISCC, 2024)

XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification. - Francesco Cerasuolo; Idio Guarino; Vincenzo Spadari; Giuseppe Aceto; Antonio Pescapè (IFIP Networking, 2024)

MEMENTO: A novel approach for class incremental learning of encrypted traffic. - Francesco Cerasuolo; Alfredo Nascita; Giampaolo Bovenzi; Giuseppe Aceto; Domenico Ciuonzo; Antonio Pescapè; Dario Rossi 001 (Comput. Networks, 2024)

Class Incremental Learning for Network-Agnostic Intrusion Detection Systems. - Francesco Cerasuolo; Giampaolo Bovenzi; Antonio Montieri; Antonio Pescapè (RTSI, 2025)

Explainable federated class incremental learning for Encrypted Network Traffic classification. - Raffaele Carillo; Francesco Cerasuolo; Giampaolo Bovenzi; Domenico Ciuonzo; Antonio Pescapè (Comput. Networks, 2025)

Attack-adaptive network intrusion detection systems for IoT networks through class incremental learning. - Francesco Cerasuolo; Giampaolo Bovenzi; Domenico Ciuonzo; Antonio Pescapè (Comput. Networks, 2025)

Adaptable, incremental, and explainable network intrusion detection systems for internet of things. - Francesco Cerasuolo; Giampaolo Bovenzi; Domenico Ciuonzo; Antonio Pescapè (Eng. Appl. Artif. Intell., 2025)

Mapping the Landscape of Generative AI in Network Monitoring and Management. - Giampaolo Bovenzi; Francesco Cerasuolo; Domenico Ciuonzo; Davide Di Monda; Idio Guarino; Antonio Montieri; Valerio Persico; Antonio Pescapè (IEEE Trans. Netw. Serv. Manag., 2025)