بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
selection using » detection using (توسيع البحث), selected using (توسيع البحث), infection using (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
selection using » detection using (توسيع البحث), selected using (توسيع البحث), infection using (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
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Features selection using the Boruta algorithm.
منشور في 2025"…We identified the important features related to IA using the Boruta algorithm. Predictions were made using different machine learning (ML) (decision tree (DT), random forest (RF), support vector machines (SVMs), and logistic regression (LR)) models. …"
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Feature selection using Boruta algorithm.
منشور في 2025"…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…"
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Feature selection using the Boruta algorithm.
منشور في 2025"…We extracted baseline characteristics, laboratory parameters, and clinical outcomes. The Boruta algorithm was employed for feature selection to identify variables significantly associated with in-hospital mortality, and 16 machine learning models, including logistic regression, random forest, gradient boosting, and neural networks, were developed and compared using receiver operating characteristic (ROC) curves and area under the curve (AUC) analysis. …"
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Variable selection procedure using the Boruta algorithm.
منشور في 2025"…<p>Variable selection procedure using the Boruta algorithm.</p>…"
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Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations.
منشور في 2025"…<p>The average performance metrics of the best scoring groups, along with standard deviations over iterations, are shown in panels which are labeled as accuracy, Area Under ROC Curve, sensitivity and specificity. All algorithms use mRNA, miRNA, and methylation data, but 3Mint only uses mRNA expression in training and testing the classifier. …"
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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks
منشور في 2025"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"