Clayton A. Davis
Information Systems · 2014–2019
A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 43 citations into it; #1,011 of 8,771 by trust here, #694 by citations
- Artificial Intelligence — 29 citations into it; #11,673 of 35,345 by trust here, #8,893 by citations
- Sociology and Political Science — 28 citations into it; #2,387 of 22,756 by trust here, #1,957 by citations
- Statistical and Nonlinear Physics — 21 citations into it
- Signal Processing — 15 citations into it; #2,411 of 7,572 by trust here, #2,400 by citations
- Communication — 5 citations into it
Whom Clayton A. Davis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kyumin Lee
- Emilio Ferrara
- Brian David Eoff
- Onur Varol
- Alessandro Bessi
- Alexandre Leblanc
- James Caverlee
- Geoffrey E. Hinton
- Jiwei Li
- Zhi Yang
Who trusts Clayton A. Davis overall
- Emilio Ferrara
- Adam Badawy
- David M. Beskow
- Onur Varol
- Kai-Cheng Yang
- Zachary C. Steinert-Threlkeld
- R. Guilbeault
- Kristina Lerman
- Srijan Kumar
- Kai Shu
Papers from Clayton A. Davis's perspective
Ordered by how strongly the researchers Clayton A. Davis trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Visualizing Data using t-SNE
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- BotOrNot: A System to Evaluate Social Bots (2016) — 923 citations
- The rise of social bots (2014) — 2,064 citations
- Online Human-Bot Interactions: Detection, Estimation, and Characterization (2017) — 1,106 citations
- Arming the public with artificial intelligence to counter social bots (2019) — 412 citations