Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

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If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. by Yuanchen Zhao (12905580)

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Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

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Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

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Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

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Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Overview of the ROI determination algorithm. by Virgil Christian Garcia Castillo (19688355)

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Simulation Scripts And Data. by Yuanchen Zhao (12905580)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

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Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. …”

Average metrics for the Bitcoin Alpha dataset models grouped by the fact of being based on embedding or on node statistics. by Agata Skorupka (20469080)

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Average metrics for Bitcoin OTC dataset models grouped by the fact of being based on embedding or on node statistics. by Agata Skorupka (20469080)

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Models grouped by dimension number for Bitcoin Alpha dataset, average metrics. by Agata Skorupka (20469080)

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Models grouped by dimension number for Bitcoin OTC dataset, average metrics. by Agata Skorupka (20469080)

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Average metrics for TwiBot-20 dataset models grouped by the fact of being based on embedding or on node statistics. by Agata Skorupka (20469080)

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