Kurt D. Bollacker

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Researcher (help)
Kurt D. Bollacker
Affiliation: Infochimps
Long Now
NEC Research Institute
University of Texas at Austin
Duke University Medical Center
Location: United States of America
Interest(s): Machine learning
Digital library
Databases: Freebase (kurt_bollacker) Scopus Wikidata Wikipedia
Link(s): http://www.longnow.org/people/staff/kurt42/
Search: PubMed (first author) PubMed
Google Scholar
English Wikipedia

Kurt D. Bollacker is a computer scientists who has been involved in web-based databases, such as CiteSeer, Internet Archive and Freebase. He has a Ph.Ds from the University of Texas at Austin, and he affiliated Infochimps and previously with the The Long Now foundation.

From Freebase:

Dr. Kurt Bollacker is a computer scientist with a research background in the areas of machine learning, digital libraries, semantic networks, and electro-cardiographic modeling. He received a Ph.D. in Computer Engineering from The University Of Texas At Austin, was co-creator of the Citeseer research tool as a visiting researcher at the NEC Research Institute, was the technical director of the Internet Archive, and a biomedical research engineer at the Duke University Medical Center. He is currently pursuing research into long term digital archiving as the Digital Research Director at the Long Now Foundation, and was a scientist at Metaweb Technologies until Feb, 2008.

[edit] Papers

  1. A system for automatic personalized tracking of scientific literature on the web
  2. An automated technique for identification and analysis of activation fronts in a two-dimensional electrogram array
  3. CiteSeer: an autonous web agent for automatic retrieval and identification of interesting publications
  4. Discovering relevant scientific literature on the web
  5. Effective supra-classifiers for knowledge base construction
  6. Freebase: a collaboratively created graph database for structuring human knowledge
  7. Freebase: a shared database of structured general human hnowledge
  8. Knowledge reuse in multiple classifier systems
  9. Linear feature extractors based on mutual information
  10. Mutual information feature extractors for neural classifiers

[edit] External links

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