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» Information extraction, data mining and joint inference
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CIKM
2009
Springer
15 years 2 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
SPIESR
2004
127views Database» more  SPIESR 2004»
14 years 11 months ago
New perspective on visual information retrieval
Visual information retrieval (VIR) is a research area with more than 300 scientific publications every year. Technological progress lets surveys become out of date within a short ...
Horst Eidenberger
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
14 years 11 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan
BMCBI
2008
149views more  BMCBI 2008»
14 years 10 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
GIR
2007
ACM
15 years 1 months ago
Geo-tagging for imprecise regions of different sizes
Extracting geographical information from various web sources is likely to be important for a variety of applications. One such use for this information is to enable the study of v...
Robert Pasley, Paul Clough, Mark Sanderson