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Idio Guarino
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2020 – today
- 2024
- [j2]Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Explainable Deep-Learning Approaches for Packet-Level Traffic Prediction of Collaboration and Communication Mobile Apps. IEEE Open J. Commun. Soc. 5: 1299-1324 (2024) - [c8]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 - [c7]Idio Guarino, Domenico Ciuonzo, Antonio Montieri, Antonio Pescapè:
Mirage-App×Act-2024: A Novel Dataset for Mobile App and Activity Traffic Analysis. WiMob 2024: 663-666 - 2023
- [c6]Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Fine-Grained Traffic Prediction of Communication-and-Collaboration Apps Via Deep-Learning: A First Look at Explainability. ICC 2023: 1609-1615 - [c5]Idio Guarino, Chao Wang, Alessandro Finamore, Antonio Pescapè, Dario Rossi:
Many or Few Samples?: Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification. TMA 2023: 1-10 - [i1]Idio Guarino, Chao Wang, Alessandro Finamore, Antonio Pescapè, Dario Rossi:
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification. CoRR abs/2305.12432 (2023) - 2022
- [j1]Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic. Comput. Networks 219: 109452 (2022) - [c4]Idio Guarino, Giampaolo Bovenzi, Davide Di Monda, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescapè:
On the use of Machine Learning Approaches for the Early Classification in Network Intrusion Detection. M&N 2022: 1-6 - 2021
- [c3]Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Classification of Communication and Collaboration Apps via Advanced Deep-Learning Approaches. CAMAD 2021: 1-6 - [c2]Idio Guarino, Alfredo Nascita, Giuseppe Aceto, Antonio Pescapè:
Mobile Network Traffic Prediction Using High Order Markov Chains Trained At Multiple Granularity. RTSI 2021: 394-399 - [c1]Idio Guarino, Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri, Valerio Persico, Antonio Pescapè:
Characterizing and Modeling Traffic of Communication and Collaboration Apps Bloomed With COVID-19 Outbreak. RTSI 2021: 400-405
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last updated on 2024-12-13 19:15 CET by the dblp team
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