Jana Silhavá

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Microarray data represents valuable information resources, nevertheless the knowledge is hidden inside the data and it is not easy to mine. Background knowledge is also stored in various formats and it is challenging to automatically infer the biological meaning from existing repositories. This paper deals with a new gene-expression knowledgefusion system(More)
Classifiers used in image processing and computer vision are frequent subject of research and exploitation in applications. This contribution does not directly involve research in the classification itself but rather introduces a systematic approach of evaluation of image classifiers, comparison between the classifiers, and "tuning" the classifiers for(More)
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