Search alternatives:
based optimization » whale optimization (Expand Search)
binary samples » biopsy samples (Expand Search), lunar samples (Expand Search)
samples based » samples used (Expand Search), samples obtained (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
based optimization » whale optimization (Expand Search)
binary samples » biopsy samples (Expand Search), lunar samples (Expand Search)
samples based » samples used (Expand Search), samples obtained (Expand Search)
binary risk » primary risk (Expand Search), dietary risk (Expand Search)
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ROC curve for binary classification.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Confusion matrix for binary classification.
Published 2024“…Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …”
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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
Published 2019“…We tested the accuracy, sensitivity, and resource requirements of three top metagenomic taxonomic classifiers that use fast k-mer based algorithms: Centrifuge, CLARK, and KrakenUniq. …”
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Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
Published 2021“…In this article, we develop a novel angle-based approach to search the optimal DTR under a multicategory treatment framework for survival data. …”
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Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
Published 2025“…Model evaluation was based on accuracy metrics and qualitative analysis of the confusion matrix.. …”
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Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level
Published 2021“…Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”