Search alternatives:
estimation algorithms » optimization algorithms (Expand Search), detection algorithms (Expand Search)
based optimization » whale optimization (Expand Search)
robust estimation » pose estimation (Expand Search), risk estimation (Expand Search)
binary sampling » primary sampling (Expand Search), january sampling (Expand Search)
sampling based » sampling biases (Expand Search), samples based (Expand Search), sampling bias (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a robust » _ robust (Expand Search)
estimation algorithms » optimization algorithms (Expand Search), detection algorithms (Expand Search)
based optimization » whale optimization (Expand Search)
robust estimation » pose estimation (Expand Search), risk estimation (Expand Search)
binary sampling » primary sampling (Expand Search), january sampling (Expand Search)
sampling based » sampling biases (Expand Search), samples based (Expand Search), sampling bias (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a robust » _ robust (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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Individual Transition Label Noise Logistic Regression in Binary Classification for Incorrectly Labeled Data
Published 2021“…<p>We consider a binary classification problem in the case where some observations in the training data are incorrectly labeled. …”
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Determination of the Solute Content and Volumetric Properties of Binary Ionic Liquid Mixtures Using a Global Regularity of Molar Volume Expansion
Published 2021“…This regularity is presented for the first time as a robust alternative for the representation of experimental <i>P</i>–ν–<i>T</i>–<i>x</i> data of binary IL+ solute systems, with a much simpler formulation compared to different equations of state and without the inclusion of any temperature-dependent adjusted parameters. …”
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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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Testing results for classifying AD, MCI and NC.
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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Summary of existing CNN models.
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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Parameter settings.
Published 2024“…<div><p>Differential Evolution (DE) is widely recognized as a highly effective evolutionary algorithm for global optimization. It has proven its efficacy in tackling diverse problems across various fields and real-world applications. …”
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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. …”