Tom Auld

Computer Networks and Communications · 2007

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 11 citations into it; #5,703 of 9,886 by trust here, #5,961 by citations
• Artificial Intelligence — 9 citations into it; #22,188 of 35,345 by trust here, #24,417 by citations

Whom Tom Auld trusts overall

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

1. David John Cameron MacKay
2. Andrew William Moore
3. Lei Yu
4. Gomes de Freitas
5. Thomas Karagiannis
6. Kuai Xu
7. Yin Zhang
8. Konstantina (Dina) Papagiannaki
9. Matthew Roughan
10. Huan Liu

Who trusts Tom Auld overall

1. Thuy T. T. Nguyen
2. Bruce G. Marcot
3. Mohammad Lotfollahi
4. Giuseppe Ateniese
5. Hyunchul Kim
6. Raouf Boutaba
7. Grenville J. Armitage
8. Trent D. Penman
9. Mahdi Jafari Siavoshani
10. K. Claffy

Papers from Tom Auld's perspective

Ordered by how strongly the researchers Tom Auld 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. Profiling internet backbone traffic: behavior models and applications (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
3. Flow Clustering Using Machine Learning Techniques (Passive and Active Network Measurement Conference)
4. Neural Networks for Pattern Recognition
5. Transport layer identification of P2P traffic (ACM/SIGCOMM Internet Measurement Conference)
6. BLINC: multilevel traffic classification in the dark (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
7. Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification (ACM/SIGCOMM Internet Measurement Conference)
8. Mining anomalies using traffic feature distributions (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
9. A Mathematical Theory of Communication
10. BAYESIAN NON-LINEAR MODELING FOR THE PREDICTION COMPETITION

Their papers

• Bayesian Neural Networks for Internet Traffic Classification (2007) — 547 citations