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based optimization » whale optimization (Expand Search)
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binary cases » binary values (Expand Search), binary labels (Expand Search), binary mask (Expand Search)
cases based » case based (Expand Search), scores based (Expand Search), values based (Expand Search)
class led » classes led (Expand Search), class left (Expand Search), class lca (Expand Search)
based optimization » whale optimization (Expand Search)
led optimization » lead optimization (Expand Search), yet optimization (Expand Search), field optimization (Expand Search)
binary cases » binary values (Expand Search), binary labels (Expand Search), binary mask (Expand Search)
cases based » case based (Expand Search), scores based (Expand Search), values based (Expand Search)
class led » classes led (Expand Search), class left (Expand Search), class lca (Expand Search)
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Data_Sheet_1_Multiclass Classification Based on Combined Motor Imageries.pdf
Published 2020“…And we propose two new multilabel uses of the Common Spatial Pattern (CSP) algorithm to optimize the signal-to-noise ratio, namely MC2CMI and MC2SMI approaches. …”
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DataSheet_1_Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.docx
Published 2021“…We applied several feature selection strategies including the least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE), the maximum relevance minimum redundancy (mRMR), Boruta and Pearson correlation analysis, to select the most optimal features. We then built 120 diagnostic models using distinct classification algorithms and feature sets divided by MRI sequences and selection strategies to predict molecular subtype and AR expression of breast cancer in the testing dataset of leave-one-out cross-validation (LOOCV). …”
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Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield...
Published 2022“…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”