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

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

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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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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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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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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. …”

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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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. …”

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

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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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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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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Average metrics for models grouped by dimension number for the TwiBot-20 dataset. by Agata Skorupka (20469080)

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Comparison of ROI masks generated using different algorithm parameters. by Virgil Christian Garcia Castillo (19688355)

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