Robert P. Schumaker
Artificial Intelligence · 2009–2012
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #14,121 of 35,345 by trust here, #20,377 by citations
- Management Science and Operations Research — 6 citations into it; #614 of 11,946 by trust here, #1,012 by citations
- Natural Language Processing — 5 citations into it; #1,439 of 5,688 by trust here, #2,497 by citations
Whom Robert P. Schumaker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Marc-André Mittermayer
- Vladimir Naumovich Vapni
- John C. Platt
- Janyce Wiebe
- Eugene F. Fama
- Ellen Riloff
- Paul C. Tetlock
- Ping-Feng Pai
- Dan I. Moldovan
Who trusts Robert P. Schumaker overall
- Qing Li
- Xiaodong Li
- Mathias Kraus
- Stefan Feuerriegel
- Arman Khadjeh Nassirtoussi
- Tiejun Wang
- Yuanzhu Peter Chen
- Ingrid E. Fisher
- Ping Li
- LiLing Jiang
Papers from Robert P. Schumaker's perspective
Ordered by how strongly the researchers Robert P. Schumaker trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- The Nature of Statistical Learning Theory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Textual analysis of stock market prediction using breaking financial news: The AZFin text system (2009) — 918 citations
- Evaluating sentiment in financial news articles (2012) — 346 citations
- A quantitative stock prediction system based on financial news (2009) — 217 citations
- AIS Electronic