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Non-B HIV type 1 subtypes among men who have sex with men in Rome, Italy

AIDS research and human retroviruses, 2009-02, Vol.25 (2), p.157

2009

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Molecular evolution of the OrcPI locus in natural populations of Mediterranean orchids

Gene, 2007-05, Vol.392 (1), p.299-305

2007

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Phylogenetic and evolutionary analysis of Vibrio parahaemolyticus and Vibrio alginolyticus isolates based on toxR gene sequence

The New microbiologica, 2010-10, Vol.33 (4), p.359-372

2010

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Isolation of the LFY/ FLO homologue in Orchis italica and evolutionary analysis in some European orchids

Gene, 2004-05, Vol.333, p.101-109

2004

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An outbreak of HIV-1 subtype G among Italian injecting drug users

AIDS (London), 2007-05, Vol.21 (9), p.1213-1215

2007

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Characterization of drug-resistance mutations in HIV type 1 isolates from drug-naive and ARV-treated patients in Bulgaria

AIDS research and human retroviruses, 2008-09, Vol.24 (9), p.1133

2008

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Evolutionary Analysis of HA and NS1 Genes of H5N1 Influenza Viruses in 2004–2005 Epidemics

Avian diseases, 2007-03, Vol.51 (s1), p.455-460

2007

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Isolation and characterization of microsatellite loci from Asparagus acutifolius (Liliaceae)

Molecular ecology notes, 2003-06, Vol.3 (2), p.242-243

2003

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Evolutionary Analysis of HA and NS1 Genes of H5N1 Influenza Viruses in 2004–2005 Epidemics

Avian diseases digest, 2007-03, Vol.2 (s1), p.e60-e60

2007

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ISSR markers show differentiation among Italian populations of Asparagus acutifolius L

BMC genetics, 2005-03, Vol.6, p.17

2005

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PRIMER NOTE: Isolation and characterization of microsatellite loci from Asparagus acutifolius (Liliaceae)

Molecular ecology notes, 2003-06, Vol.3 (2), p.242-243

2003

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Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

IEEE eTransactions on network and service management, 2019-06, Vol.16 (2), p.445-458

2019

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IEEE_Xplore

MIMETIC: Mobile encrypted traffic classification using multimodal deep learning

Computer networks (Amsterdam, Netherlands : 1999), 2019-12, Vol.165, p.106944, Article 106944

2019

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Multi-classification approaches for classifying mobile app traffic

Journal of network and computer applications, 2018-02, Vol.103, p.131-145

2018

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Toward effective mobile encrypted traffic classification through deep learning

Neurocomputing (Amsterdam), 2020-10, Vol.409, p.306-315

2020

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DISTILLER: Encrypted traffic classification via multimodal multitask deep learning

Journal of network and computer applications, 2021-06, Vol.183-184, p.102985, Article 102985

2021

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Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web)

IEEE transactions on dependable and secure computing, 2020-05, Vol.17 (3), p.662-675

2020

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IEEE_Xplore

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

IEEE access, 2021, Vol.9, p.28361-28376

2021

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Characterization and Prediction of Mobile-App Traffic Using Markov Modeling

IEEE eTransactions on network and service management, 2021-03, Vol.18 (1), p.907-925

2021

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IEEE_Xplore

Computational intelligence intrusion detection techniques in mobile cloud computing environments: Review, taxonomy, and open research issues

Journal of information security and applications, 2020-12, Vol.55, p.102582, Article 102582

2020

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XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures

IEEE eTransactions on network and service management, 2021-12, Vol.18 (4), p.4225-4246

2021

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IEEE_Xplore

A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools

IEEE transactions on network science and engineering, 2020-07, Vol.7 (3), p.1043-1054

2020

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IEEE_Xplore

Packet-level prediction of mobile-app traffic using multitask Deep Learning

Computer networks (Amsterdam, Netherlands : 1999), 2021-12, Vol.200, p.108529, Article 108529

2021

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Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness

Computers & security, 2023-05, Vol.128, p.103167, Article 103167

2023

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Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic

Computer networks (Amsterdam, Netherlands : 1999), 2022-12, Vol.219, p.109452-109452, Article 109452

2022

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Non-B HIV type 1 subtypes among men who have sex with men in Rome, Italy

Molecular evolution of the OrcPI locus in natural populations of Mediterranean orchids

Phylogenetic and evolutionary analysis of Vibrio parahaemolyticus and Vibrio alginolyticus isolates based on toxR gene sequence

Isolation of the LFY/ FLO homologue in Orchis italica and evolutionary analysis in some European orchids

An outbreak of HIV-1 subtype G among Italian injecting drug users

Characterization of drug-resistance mutations in HIV type 1 isolates from drug-naive and ARV-treated patients in Bulgaria

Evolutionary Analysis of HA and NS1 Genes of H5N1 Influenza Viruses in 2004–2005 Epidemics

Isolation and characterization of microsatellite loci from Asparagus acutifolius (Liliaceae)

Evolutionary Analysis of HA and NS1 Genes of H5N1 Influenza Viruses in 2004–2005 Epidemics

ISSR markers show differentiation among Italian populations of Asparagus acutifolius L

PRIMER NOTE: Isolation and characterization of microsatellite loci from Asparagus acutifolius (Liliaceae)

Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

MIMETIC: Mobile encrypted traffic classification using multimodal deep learning

Multi-classification approaches for classifying mobile app traffic

Toward effective mobile encrypted traffic classification through deep learning

DISTILLER: Encrypted traffic classification via multimodal multitask deep learning

Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web)

SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT

Characterization and Prediction of Mobile-App Traffic Using Markov Modeling

Computational intelligence intrusion detection techniques in mobile cloud computing environments: Review, taxonomy, and open research issues

XAI Meets Mobile Traffic Classification: Understanding and Improving Multimodal Deep Learning Architectures

A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools

Packet-level prediction of mobile-app traffic using multitask Deep Learning

Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness

Contextual counters and multimodal Deep Learning for activity-level traffic classification of mobile communication apps during COVID-19 pandemic

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