Thuy T. T. Nguyen

Artificial Intelligence · 2005–2008

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #8,041 of 35,345 by trust here, #12,580 by citations
• Computer Networks and Communications — 17 citations into it; #1,456 of 9,886 by trust here, #2,196 by citations
• Hardware and Architecture — 5 citations into it; #141 of 1,551 by trust here, #314 by citations

Whom Thuy T. T. Nguyen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew William Moore
2. Subhabrata Sen
3. Mark A. Hall
4. Sebastian Zander
5. Maria Halkidi
6. Thomas Karagiannis
7. Matthew Roughan
8. Konstantina (Dina) Papagiannaki
9. Oliver Spatscheck
10. Arthur P. Dempster

Who trusts Thuy T. T. Nguyen overall

1. Jun Zhang
2. Anna L. Buczak
3. Alberto Dainotti
4. Nickolaos Koroniotis
5. Manuel Lopez-Martin
6. Kamran Shaukat
7. Giuseppe Ateniese
8. Yang Xiang
9. Erhan Guven
10. K. Claffy

Papers from Thuy T. T. Nguyen's perspective

Ordered by how strongly the researchers Thuy T. T. Nguyen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Toward the Accurate Identification of Network Applications (Passive and Active Network Measurement Conference)
2. Flow Clustering Using Machine Learning Techniques (Passive and Active Network Measurement Conference)
3. Accurate, scalable in-network identification of p2p traffic using application signatures (The Web Conference)
4. Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification (ACM/SIGCOMM Internet Measurement Conference)
5. Internet traffic classification using bayesian analysis techniques (Measurement and Modeling of Computer Systems)
6. BLINC: multilevel traffic classification in the dark (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
7. Correlation-based Feature Selection for Machine Learning
8. Is P2P dying or just hiding? [P2P traffic measurement] (IEEE Global Telecommunications Conference, 2004. GLOBECOM '04.)
9. A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification (CCRV)
10. Traffic classification through simple statistical fingerprinting (CCRV)

Their papers

• A survey of techniques for internet traffic classification using machine learning (2008) — 1,751 citations
• Automated traffic classification and application identification using machine learning (2005) — 583 citations