Parameter values chosen for this study in various algorithms. by Davut Izci (15927452)

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Location schemes and objective function values for different values of the confidence level. by Yangjun Ren (17691912)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”

Boxplots obtained by testing rat575 for 20 times by each algorithm. by Jin Zhang (53297)

Boxplots obtained by testing ch150 for 50 times by each algorithm. by Jin Zhang (53297)

Table of relationships between algorithms and five strategies for two experimental groups. by Jin Zhang (53297)

Boxplots obtained by testing fl1400 for 10 times by each algorithm. by Jin Zhang (53297)

PFC value of algorithms on two datasets. by Xing Chen (140292)

“…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. …”

DMTD algorithm. by Yunhu Huang (21402795)

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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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Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

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Function values by the two rescheduling measures. by Yuxuan Long (17720796)

Comparison of performance metrics of three algorithms. by Junjie He (700642)

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Objective function value statistics. by Chao Li (145513)

Multi-objective fuzzy optimization results based on PSCACO algorithm. by Tianrui Zhang (2294542)

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Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

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Objective function values and CPU times of the considered solution approaches. by Yangjun Ren (17691912)

Objective function values and CPU times of the considered solution approaches. by Yangjun Ren (17691912)

S1 File - by Yuh-Chin T. Huang (17867207)

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S1 Dataset - by Yuh-Chin T. Huang (17867207)

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