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IRI
2007
IEEE
15 years 11 months ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...
185
Voted
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
15 years 10 months ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti
SIGIR
2012
ACM
13 years 7 months ago
Time-sensitive query auto-completion
Query auto-completion (QAC) is a common feature in modern search engines. High quality QAC candidates enhance search experience by saving users time that otherwise would be spent ...
Milad Shokouhi, Kira Radinsky
150
Voted
BMCBI
2008
81views more  BMCBI 2008»
15 years 5 months ago
A perspective for biomedical data integration: Design of databases for flow cytometry
Background: The integration of biomedical information is essential for tackling medical problems. We describe a data model in the domain of flow cytometry (FC) allowing for massiv...
John Drakos, Marina Karakantza, Nicholas C. Zoumbo...
CDC
2008
IEEE
186views Control Systems» more  CDC 2008»
15 years 11 months ago
Continuous-time behavioral portfolio selection
This paper formulates and studies a general continuous-time behavioral portfolio selection model under Kahneman and Tversky's (cumulative) prospect theory, featuring S-shaped...
Hanqing Jin, Xun Yu Zhou