Gerhard Paass

Artificial Intelligence · 2003–2005

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #17,418 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 15 citations into it
• Information Retrieval & Search — 8 citations into it
• Information Systems — 5 citations into it; #3,529 of 8,771 by trust here, #4,012 by citations

Whom Gerhard Paass trusts overall

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

1. Andrew McCallum
2. Eric R. Ziegel
3. J. Ross Quinlan
4. Nick Littlestone
5. Stephen E. Robertson
6. Teuvo Kohonen
7. Robert E. Schapire
8. Yuhai Wu
9. Fei Sha
10. Edda Leopold

Who trusts Gerhard Paass overall

1. Efstathios Stamatatos
2. David Martens

Papers from Gerhard Paass's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
3. Statistical Learning Theory
4. Foundations of Statistical Natural Language Processing
5. The Elements of Statistical Learning
6. Shallow Parsing with Conditional Random Fields
7. Pattern classification and scene analysis
8. ImageNet classification with deep convolutional neural networks
9. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• A Brief Survey of Text Mining (2005) — 1,025 citations
• Authorship Attribution with Support Vector Machines (2003) — 402 citations