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» An event set approach to sequence discovery in medical data
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ISBI
2004
IEEE
15 years 10 months ago
Reconstruction of 3D Dense Cardiac Motion From Tagged MR Sequences
This paper develops an energy minimization algorithm to reconstruct the 3D motion of transplanted hearts of small animals (rats) from tagged magnetic resonance (MR) sequences. We ...
Chien Ho, Hsun-Hsien Chang, José M. F. Mour...
IJBIDM
2011
127views more  IJBIDM 2011»
14 years 4 months ago
WebUser: mining unexpected web usage
: Web usage mining has been much concentrated on the discovery of relevant user behaviours from Web access record data. In this paper, we present WebUser, an approach to discover u...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet
IDA
2006
Springer
14 years 9 months ago
Supporting bi-cluster interpretation in 0/1 data by means of local patterns
Clustering or co-clustering techniques have been proved useful in many application domains. A weakness of these techniques remains the poor support for grouping characterization. ...
Ruggero G. Pensa, Céline Robardet, Jean-Fra...
RECOMB
2002
Springer
15 years 10 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 3 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...