Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Visualization of mean absolute SHAP values for conditional algorithm for each class. by Sadia Nazim (21440115)

Visualization of mean absolute SHAP values for Interventional algorithm for each class. by Sadia Nazim (21440115)

The table of inversion result of AQ type geoelectric model with 10% noise. by Zhengyu Xu (8550660)

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The inversion results and curve of the objective function of the G-type geoelectric model. by Zhengyu Xu (8550660)

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The inversion results and curve of the objective function of the AQ-type geoelectric model. by Zhengyu Xu (8550660)

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The inversion results and curve of the objective function of the H-type geoelectric model. by Zhengyu Xu (8550660)

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The table of inversion results of AQ type geoelectric model with 5% noise. by Zhengyu Xu (8550660)

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Data inclusion and exclusion process. by Jingru Dong (14076094)

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The inversion results and curve of the objective function of AQ-type geoelectric model with noise. by Zhengyu Xu (8550660)

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Model performance comparison under different parameter settings. by Xini Fang (20861990)

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Feature importance ranking results of model risk indicators. by Xini Fang (20861990)

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Risk prediction results of the RF model improved by FCM clustering ((a) Different risk prediction results; (b) Prediction results of different models). by Xini Fang (20861990)

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Proposing sequence genetic distances with our local greedy algorithm when genomic sampling data is unavailable. by Hannah Waddel (21520023)

GA process. by Jianpeng Zhang (528185)

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The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

“…To overcome the challenges involved in the selection of a stock portfolio, this article presents a three-stage optimization model. In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”

Dynamic window based median filtering algorithm. by Li Yuan (102305)

“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”

Plot comparing the circular tracking errors of the three algorithms. by Xiaosong Liu (66661)

Comparison of transfer model results of one flood process. by Qun Zhao (603175)

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Optimization process of adaptive weight adjustment based on the SCSO. by Fengning Liang (20927493)

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