Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
binary art » binary pairs (Expand Search)
art model » art models (Expand Search), part model (Expand Search), bert model (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), wolf optimization (Expand Search)
based optimization » whale optimization (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
binary art » binary pairs (Expand Search)
art model » art models (Expand Search), part model (Expand Search), bert model (Expand Search)
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The comparison of the accuracy score of the benchmark and the proposed models.
Published 2025Subjects: -
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Comparison of baseline and hybrid machine learning models in predicting IVF outcomes (%).
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Calibration curve of the ABC–LR–RF hybrid model for IVF outcome prediction.
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ROC and PR–AUC curves of the ABC–LR–RF hybrid model for IVF outcome prediction.
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
Published 2025“…The goal of this </p><p dir="ltr">research is to combine state-of-the-art deep learning techniques with optimization algorithms to develop a precise </p><p dir="ltr">and efficient predictive system for melanoma detection. …”
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The statistical description of the original data set of the patients (<i>n</i> = 162).
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The list of parameters of the modified data set for machine learning (<i>n</i> = 162).
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