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» Machine Learning in Medical Applications
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AAAI
2011
14 years 2 months ago
Effective End-User Interaction with Machine Learning
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
ICALT
2006
IEEE
15 years 8 months ago
A Navigation Interface for Adaptive m-Learning Applications
Some researches have used concept maps to support navigation in m-Learning applications. Nevertheless, as this navigation support is not very flexible, adaptation to learner chara...
Laércio Sambüc dos Anjos, José ...
139
Voted
PRL
2008
246views more  PRL 2008»
15 years 2 months ago
Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion
In this paper, the automatic medical annotation task of the 2007 CLEF cross-language image retrieval campaign (ImageCLEF) is described. The paper focusses on the images used, the ...
Thomas Deselaers, Thomas Martin Deserno, Henning M...
109
Voted
ICML
2006
IEEE
16 years 3 months ago
Feature value acquisition in testing: a sequential batch test algorithm
In medical diagnosis, doctors often have to order sets of medical tests in sequence in order to make an accurate diagnosis of patient diseases. While doing so they have to make a ...
Victor S. Sheng, Charles X. Ling
111
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IJDAR
2010
110views more  IJDAR 2010»
15 years 1 months ago
Locating and parsing bibliographic references in HTML medical articles
The set of references that typically appear toward the end of journal articles is sometimes, though not always, a field in bibliographic (citation) databases. But even if referenc...
Jie Zou, Daniel X. Le, George R. Thoma