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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 7 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
AVSS
2003
IEEE
15 years 11 months ago
Improving the Extraction of Temporal Motion Strength Signals from Video Recordings of Neonatal Seizures
Automated processing and analysis of video recordings of neonatal seizures can generate novel methods for extracting quantitative information that is relevant only to the seizure [...
Nicolaos B. Karayiannis, Guozhi Tao
BMCBI
2008
162views more  BMCBI 2008»
15 years 6 months ago
Background correction using dinucleotide affinities improves the performance of GCRMA
Background: High-density short oligonucleotide microarrays are a primary research tool for assessing global gene expression. Background noise on microarrays comprises a significan...
Raad Z. Gharaibeh, Anthony Fodor, Cynthia Gibas
CHI
2011
ACM
14 years 10 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais
CSCW
2012
ACM
14 years 2 months ago
DiscoTech: a plug-in toolkit to improve handling of disconnection and reconnection in real-time groupware
Disconnection and reconnection are common problems for users of synchronous groupware, but these problems are not easy for developers to handle because of the wide range of scenar...
Banani Roy, T. C. Nicholas Graham, Carl Gutwin