Ryan Elwell

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #7,514 of 35,345 by trust here, #18,186 by citations

Whom Ryan Elwell trusts overall

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

1. Nikunj C. Oza
2. Markos Markou
3. Ludmila I. Kuncheva
4. Michael D. Muhlbaier
5. Haixun Wang
6. Albert Bifet
7. Robert E. Schapire
8. Nick Littlestone
9. Sameer Singh
10. Robi Polikar

Who trusts Ryan Elwell overall

1. Alexander Rainer Tassilo Gepperth
2. Dariusz W. Brzezinski
3. Andrea Dal Pozzolo
4. Gregory Ditzler
5. Adeleh Bitarafan
6. Peng Zhao
7. Jie Lu
8. Biwei Huang
9. Steven C. H. Hoi
10. Barbara Hammer

Papers from Ryan Elwell's perspective

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

1. The Strength of Weak Learnability
2. A streaming ensemble algorithm (SEA) for large-scale classification (Knowledge Discovery and Data Mining)
3. Mining time-changing data streams
4. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
5. Incremental learning from noisy data
6. Learning in the Presence of Concept Drift and Hidden Contexts
7. Bagging Predictors
8. Mining concept-drifting data streams using ensemble classifiers
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. ImageNet classification with deep convolutional neural networks

Their papers

• Incremental Learning of Concept Drift in Nonstationary Environments (2011) — 930 citations