Image1_An evolution strategy of GAN for the generation of high impedance fault samples based on Reptile algorithm.TIF by Hao Bai (555291)

NGM predictions and empirical human data after training on a single item. by Spencer Caplan (10188380)

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Data_Sheet_1_Critical Evaluation of Metaheuristic Algorithms for Weight Minimization of Truss Structures.docx by Aristotelis E. Charalampakis (7454258)

NGM predictions and empirical human data across learning configurations with items presented simultaneously. by Spencer Caplan (10188380)

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NGM predictions and empirical human data across learning configurations with items presented sequentially. by Spencer Caplan (10188380)

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A New Evaluation Metric for Quantitative Accuracy of LC–MS/MS-Based Proteomics with Data-Independent Acquisition by Mengtian Shi (15314405)

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A New Evaluation Metric for Quantitative Accuracy of LC–MS/MS-Based Proteomics with Data-Independent Acquisition by Mengtian Shi (15314405)

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The complete version of the sample data of TSs. by Jiaxin Li (441199)

Data_Sheet_1_Interpretability With Accurate Small Models.pdf by Abhishek Ghose (8487966)

A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

Indirect validation for the experimental sample. by Albertas Dvirnas (4926085)

Data Sheet 7_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 2_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 9_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.xlsx by Xuehui Fan (10762662)

Data Sheet 5_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 8_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 6_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 1_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 3_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)

Data Sheet 4_Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm.docx by Xuehui Fan (10762662)