David Zimbra
Artificial Intelligence · 2005–2013
A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #11,417 of 35,345 by trust here, #16,771 by citations
- Information Systems — 8 citations into it
- Economics and Econometrics — 6 citations into it
- Management Science and Operations Research — 5 citations into it; #5,815 of 11,946 by trust here, #6,563 by citations
- Model Architectures — 5 citations into it
- Natural Language Processing — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom David Zimbra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bing Liu
- Minqing Hu
- Peter D. Turney
- Johan Bollen
- Jeffrey L. Elman
- Robert A. Jacobs
- Michael Gamon
- Alec Go
- Adam Bermingham
- Bo Pang
Who trusts David Zimbra overall
Papers from David Zimbra's perspective
Ordered by how strongly the researchers David Zimbra trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Thumbs up? Sentiment Classification using Machine Learning Techniques
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- A dynamic artificial neural network model for forecasting time series events (2005) — 272 citations
- Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network (2013) — 501 citations
- AI and Opinion Mining (2010) — 310 citations