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» Feature Identification: A Novel Approach and a Case Study
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110
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AIME
2009
Springer
15 years 1 months ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...
BMCBI
2008
91views more  BMCBI 2008»
15 years 22 days ago
t2prhd: a tool to study the patterns of repeat evolution
Background: The models developed to characterize the evolution of multigene families (such as the birth-and-death and the concerted models) have also been applied on the level of ...
Botond Sipos, Kálmán Somogyi, Istv&a...
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 10 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
121
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 10 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
144
Voted
ICCBSS
2005
Springer
15 years 6 months ago
Using Goals and Quality Models to Support the Matching Analysis During COTS Selection
The selection process is a crucial activity of the development of COTS-based systems. A key step of the evaluation of COTS components carried out during selection is the matching b...
Carina Alves, Xavier Franch, Juan Pablo Carvallo, ...