Andrew William Moore

Computer Networks and Communications · 2005–2017

A researcher in the Science corpus: 7 papers; trusts 15 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 44 citations into it; #422 of 9,886 by trust here, #1,475 by citations
• Information Systems — 21 citations into it
• Artificial Intelligence — 11 citations into it; #3,840 of 35,345 by trust here, #10,798 by citations
• Hardware and Architecture — 8 citations into it; #104 of 1,551 by trust here, #494 by citations

Whom Andrew William Moore trusts overall

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

1. Lei Yu
2. Andrew McCallum
3. Huan Liu
4. David John Cameron MacKay
5. Thomas Karagiannis
6. Kamal Nigam
7. Konstantina (Dina) Papagiannaki
8. J. Ross Quinlan
9. Matt P. Wand
10. Gomes de Freitas

Who trusts Andrew William Moore overall

1. Thuy T. T. Nguyen
2. Jeffrey Erman
3. Hyunchul Kim
4. Serge Vaudenay
5. Manuel Crotti
6. Manuel Lopez-Martin
7. Grenville J. Armitage
8. Mohammad Lotfollahi
9. Thomas Karagiannis
10. Raouf Boutaba

Papers from Andrew William Moore's perspective

Ordered by how strongly the researchers Andrew William Moore trusts endorse each paper. Same corpus, a different order for every researcher.

1. MapReduce: simplified data processing on large clusters
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Neural Networks for Pattern Recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. C4.5: Programs for Machine Learning
8. Long Short-Term Memory
9. VL2: a scalable and flexible data center network (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
10. A scalable, commodity data center network architecture (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)

Their papers

• Re-architecting datacenter networks and stacks for low latency and high performance (2017) — 447 citations
• Discriminators for use in flow-based classification (2013) — 379 citations
• OFLOPS: An Open Framework for OpenFlow Switch Evaluation (2012) — 312 citations
• Predicting the Performance of Virtual Machine Migration (2010) — 324 citations
• Bayesian Neural Networks for Internet Traffic Classification (2007) — 547 citations
• Toward the Accurate Identification of Network Applications (2005) — 885 citations
• Internet traffic classification using bayesian analysis techniques (2005) — 1,499 citations