Support Vector Machine

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  Subject Areas on Research

  • A comparison of graph- and kernel-based -omics data integration algorithms for classifying complex traits. 
  • Automatic diagnosis of pathological myopia from heterogeneous biomedical data. 
  • Big data: More than big data sets. 
  • Data-Driven and Predefined ROI-Based Quantification of Long-Term Resting-State fMRI Reproducibility. 
  • Identification of MCI individuals using structural and functional connectivity networks. 
  • Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield. 
  • Predicting glaucomatous progression in glaucoma suspect eyes using relevance vector machine classifiers for combined structural and functional measurements. 
  • Stability selection for regression-based models of transcription factor-DNA binding specificity. 
  • Superpixel classification based optic disc and optic cup segmentation for glaucoma screening. 
  • WebGLORE: a web service for Grid LOgistic REgression. 
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  Keywords of People

  • Chen, Nan-kuei, Adjunct Associate Professor in the Department of Radiology, Radiology
  • Gordan, Raluca Mihaela, Assistant Professor in Biostatistics & Bioinformatics, Computer Science
  • Hartemink, Alexander J., Professor in the Department of Computer Science, Biology