Douglas Burdick
Information Systems · 2001–2005
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 10 citations into it; #1,381 of 8,771 by trust here, #3,098 by citations
- Computational Theory and Mathematics — 9 citations into it; #2,345 of 12,182 by trust here, #4,199 by citations
- Signal Processing — 5 citations into it; #1,506 of 7,572 by trust here, #2,743 by citations
Whom Douglas Burdick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roberto J. Bayardo Jr.
- Rakesh Agrawal
- Mohammed J. Zaki
- Pradeep Shenoy
- Charu C. Aggarwal
- Jiawei Han
- Karam Gouda
- Rayadurgam Srikant
- V. V. V. Prasad
- Ramesh C. Agarwal
Who trusts Douglas Burdick overall
- Mohammed J. Zaki
- Karam Gouda
- Jiawei Han
- Gösta Grahne
- Ching-Jui Hsiao
- Jean-François Boulicaut
- Jianyong Wang
- Takeaki Uno
- Jun Huan
- Jay Ayres
Papers from Douglas Burdick's perspective
Ordered by how strongly the researchers Douglas Burdick trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Mining association rules between sets of items in large databases
- The Nature of Statistical Learning Theory
- Gradient-based learning applied to document recognition
- Efficiently mining long patterns from databases
- Learning Multiple Layers of Features from Tiny Images
Their papers
- MAFIA: a maximal frequent itemset algorithm for transactional databases (2001) — 835 citations
- MAFIA: a maximal frequent itemset algorithm (2005) — 303 citations