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Titlebook: Classification in BioApps; Automation of Decisi Nilanjan Dey,Amira S. Ashour,Surekha Borra Book 2018 Springer International Publishing AG 2

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Benjamin Farrand,Helena Carrapicoisons were made among these three normalization techniques. After being appropriately structured, these normalized datasets were transformed accordingly with three different transformation processes: rank transformation, nominal to binary transformation and Box-Cox transformation. To prevent false p
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Continuing Fundamental Researchh and classification. The feature selection methods have been analyzed for the extraction of candidate genes with biological significance for rice-related diseases; these are a support vector machine with recursive feature elimination (SVM-RFE), minimum redundancy maximum relevance (mRMR), principal
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Assessment: A Philosophical Positionity in order to assemble a set of representative works. An original contribution reporting the use of CNNs to quantify some corneal endothelial morphometric parameters is then presented in a separate section. Finally, some considerations are made on possible developments of the techniques described,
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Capability: A Philosophical Positioner solution. While both stages are employed when segmenting individual IVUS frames, in the event of complete pullbacks, the two stages are employed on the first frame but only the second stage is employed on subsequent frames, using initialization propagated from the previously segmented frame as th
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