Francesco Cerasuolo 个人学术档案

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	总计	2019 年至今
引用	60	60
h 指数	3	3
i10 指数	2	2

2022202320249 36 15

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Antonio PescapèProfessor, University of Napoli Federico II / Università di Napoli Federico II在 unina.it 的电子邮件经过验证
Alfredo NascitaPhD Student, Department of Electrical Engineering and Information Technology (D.I.E.T.I.)在 unina.it 的电子邮件经过验证
Antonio MontieriAssistant Professor, Università degli Studi di Napoli Federico II在 unina.it 的电子邮件经过验证
Giampaolo BovenziAssistant Professor, University of Napoli Federico II在 unina.it 的电子邮件经过验证
Valerio PersicoAssistant Professor, Università di Napoli "Federico II"在 unina.it 的电子邮件经过验证
Domenico CiuonzoTenure-Track Professor, Università degli Studi di Napoli Federico II在 unina.it 的电子邮件经过验证
Davide Di MondaUniversity of Napoli Federico II & IMT School for Advanced Studies Lucca在 imtlucca.it 的电子邮件经过验证
Giuseppe AcetoAssociate Professor at University of Napoli "Federico II"在 unina.it 的电子邮件经过验证
Vincenzo SpadariUniversity of Napoli Federico II在 unina.it 的电子邮件经过验证
Flavio EspositoAssociate Professor, Saint Louis University, USA在 slu.edu 的电子邮件经过验证
Lorenzo PapponeSaint Louis University在 slu.edu 的电子邮件经过验证
Dario RossiTelecom ParisTech & Ecole Polytechnique在 enst.fr 的电子邮件经过验证
Idio GuarinoPost-doc, Department of Computer Science, University of Verona在 univr.it 的电子邮件经过验证

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Francesco Cerasuolo

PhD Student, Department of Electrical Engineering and Information Technology (D.I.E.T.I.)

在 unina.it 的电子邮件经过验证

Computer Networks Traffic Classification Deep Learning Machine Learning Class Incremental


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Machine and deep learning approaches for IoT attack classification A Nascita, F Cerasuolo, D Di Monda, JTA Garcia, A Montieri, A Pescape IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022	40	2022
A comparison of machine and deep learning models for detection and classification of android malware traffic G Bovenzi, F Cerasuolo, A Montieri, A Nascita, V Persico, A Pescapé 2022 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2022	13	2022
Adaptive intrusion detection systems: Class incremental learning for IoT emerging threats F Cerasuolo, G Bovenzi, C Marescalco, F Cirillo, D Ciuonzo, A Pescapè 2023 IEEE International Conference on Big Data (BigData), 3547-3555, 2023	4	2023
MEMENTO: A novel approach for class incremental learning of encrypted traffic F Cerasuolo, A Nascita, G Bovenzi, G Aceto, D Ciuonzo, A Pescapè, ... Computer Networks 245, 110374, 2024	1	2024
Explainable mobile traffic classification: The case of incremental learning A Nascita, F Cerasuolo, G Aceto, D Ciuonzo, V Persico, A Pescapé Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous …, 2023	1	2023
Prediction of Mobile-App Network-Video-Traffic Aggregates using Multi-task Deep Learning L Pappone, F Cerasuolo, V Persico, D Ciuonzo, A Pescapè, F Esposito 2022 IFIP Networking Conference (IFIP Networking), 1-6, 2022	1	2022
Unlocking the Potential of IoT, AI, and Blockchain in Transforming Public and Private Industries A Rahman, T Debnath, D Kundu, F Cerasuolo, MJ Islam, M Rahman, ... Cambridge Scholars Publishing, 2024		2024
An MLOps Framework for Explainable Network Intrusion Detection with MLflow V Spadari, F Cerasuolo, G Bovenzi, A Pescapè 29th IEEE Symposium on Computers and Communications (ISCC) 2024, 0
XAI for Interpretable Multimodal Architectures with Contextual Input in Mobile Network Traffic Classification F Cerasuolo, I Guarino, V Spadari, G Aceto, A Pescapé 1st International Workshop on Trustworthy and eXplainable Artificial …, 0

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