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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
over algorithm » novel algorithm (Expand Search), other algorithms (Expand Search), new algorithm (Expand Search)
develop based » developed based (Expand Search), develop masld (Expand Search), development based (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
over algorithm » novel algorithm (Expand Search), other algorithms (Expand Search), new algorithm (Expand Search)
develop based » developed based (Expand Search), develop masld (Expand Search), development based (Expand Search)
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”
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Pseudocode for the missForestPredict algorithm.
Published 2025Subjects: “…missforest imputation algorithm…”
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Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms.
Published 2025Subjects: -
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Mean number of completely missing observations over all train/test splits for datasets with simulated missingness (amputation).
Published 2025Subjects: “…missforest imputation algorithm…”
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DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx
Published 2024“…Objective<p>The aim of this study was to develop and validate a machine learning-based model to predict the development of impaired fasting glucose (IFG) in middle-aged and older elderly people over a 5-year period using data from a cohort study.…”
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Structure of the Kuhn-Munkres Algorithm.
Published 2025“…The algorithm dynamically adjusts weight coefficients based on the importance scores of each modality, while also incorporating a cross-modal correlation matrix as a constraint to improve the robustness of the matching process. …”
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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Developed energy optimization model with LSC based on OAWDO algorithm.
Published 2024“…<p>Developed energy optimization model with LSC based on OAWDO algorithm.…”
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