Stefan Kaufmann

Artificial Intelligence · 2008–2013

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #17,296 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 10 citations into it; #3,528 of 5,688 by trust here, #4,793 by citations

Whom Stefan Kaufmann trusts overall

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

1. Thorsten Joachims
2. Fabrizio Sebastiani
3. Angelika Kratzer
4. Andrew McCallum
5. Susan T. Dumais
6. T. Landauer
7. Bo Pang

Who trusts Stefan Kaufmann overall

1. Martin Hilpert
2. Marco Del Tredici
3. Burt L. Monroe
4. Andrey Kutuzov
5. Robert Bamler

Papers from Stefan Kaufmann's perspective

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

1. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Thumbs up? Sentiment Classification using Machine Learning Techniques
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Indexing by Latent Semantic Analysis
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Mining the peanut gallery: opinion extraction and semantic classification of product reviews (The Web Conference)

Their papers

• Classifying Party Affiliation from Political Speech (2008) — 167 citations
• Tracing semantic change with latent semantic analysis (2011) — 94 citations
• Deliberative modality under epistemic uncertainty (2013) — 99 citations