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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
15 years 10 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
CIKM
2006
Springer
15 years 1 months ago
Validating associations in biological databases
To cope with the large amount of biological sequences being produced, a significant number of genes and proteins have been annotated by automated tools. A protein annotation is an...
Francisco M. Couto, Mário J. Silva, Pedro C...
EENERGY
2010
15 years 1 months ago
Energy saving and network performance: a trade-off approach
Power consumption of the Information and Communication Technology sector (ICT) has recently become a key challenge. In particular, actions to improve energy-efficiency of Internet...
Carla Panarello, Alfio Lombardo, Giovanni Schembra...
GIR
2008
ACM
14 years 11 months ago
Map-based vs. knowledge-based toponym disambiguation
Toponym Disambiguation, i.e. the task of assigning to place name their correct reference in the world, is getting more attention from many researchers. Many methods have been prop...
Davide Buscaldi, Paolo Rosso
CVPR
2009
IEEE
16 years 5 months ago
Histogram-based Interest Point Detectors
We present a new method for detecting interest points using histogram information. Unlike existing interest point detectors, which measure pixel-wise differences in image intens...
Wei-Ting Lee (National Tsing Hua University), Hwan...