Justin Sampson
Statistical and Nonlinear Physics · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 9 citations into it; #6,466 of 10,127 by trust here, #8,564 by citations
Whom Justin Sampson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fred Morstatter
- Andrew Y. Ng
- I. Borg
- Michael I. Jordan
- Zeynep Tufekci
- Jürgen Pfeffer
- A. O’Connell
- Huan Liu
Who trusts Justin Sampson overall
Papers from Justin Sampson's perspective
Ordered by how strongly the researchers Justin Sampson trusts endorse each paper. Same corpus, a different order for every researcher.
- On Spectral Clustering: Analysis and an algorithm
- Some methods for classification and analysis of multivariate observations
- Some methods for classi cation and analysis of multivariate observations
- ImageNet classification with deep convolutional neural networks
- Predicting the Future with Social Media
- Modern Multidimensional Scaling: Theory and Applications
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
- Gradient-based learning applied to document recognition
- Microblogging during two natural hazards events: what twitter may contribute to situational awareness
Their papers
- Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content (2016) — 25 citations
- Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage (2015) — 25 citations