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based optimization » whale optimization (Expand Search)
binary classes » binary classifiers (Expand Search)
classes based » clusters based (Expand Search), classified based (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)
based optimization » whale optimization (Expand Search)
binary classes » binary classifiers (Expand Search)
classes based » clusters based (Expand Search), classified based (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)
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41
DataSheet_1_Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.docx
Published 2024“…Utilizing the binary “One-vs-Rest” strategy, the model based on the RadImageNet dataset demonstrated superior efficacy in predicting Class 0, achieving an AUC of 0.969 and accuracy of 0.863. …”
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42
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. …”
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43
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr">These biological metrics were used to define a binary toxicity label: entries were classified as toxic (1) or non-toxic (0) based on thresholds from standardized guidelines (e.g., ISO 10993-5:2009) and literature consensus. …”