Stacking schematic diagram. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Flowchart of stacking model integration. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Prediction results of the stacking model. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Optimal Subsampling for Functional Quasi-Mode Regression with Big Data by Tao Wang (12008)

“…These optimal probabilities rely on the full data estimate, prompting the development of a two-step algorithm to approximate the optimal subsampling procedure. …”

Data from Fig 3. by Hoa Thi Trinh (20347834)

Data from Fig 7. by Hoa Thi Trinh (20347834)

Data from Fig 8. by Hoa Thi Trinh (20347834)

Data from Fig 4. by Hoa Thi Trinh (20347834)

Table2_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX by Xing Huang (129439)

“…The spread coefficient was the critical hyper-parameter in the PNN, and the improved gray wolf optimization (IGWO) algorithm was used to realize its efficient automatic optimization. …”

Table1_A Gray Wolf Optimization-Based Improved Probabilistic Neural Network Algorithm for Surrounding Rock Squeezing Classification in Tunnel Engineering.DOCX by Xing Huang (129439)

“…The spread coefficient was the critical hyper-parameter in the PNN, and the improved gray wolf optimization (IGWO) algorithm was used to realize its efficient automatic optimization. …”

DataSheet1_A two-phase robust comprehensive optimal scheduling strategy for regional distribution network based on multiple scenarios.ZIP by Hongde Ma (20137539)

Supporting data for “Digital immunochromatography: A bead-based bilateral zigzag flow immuno-assay with adaptive differential noise correction for rapid and precise protein detecti... by Zhiting Peng (9722516)

Data_Sheet_1_Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics.pdf by Mike Diessner (14236922)

Overall flowchart of the proposed model. by Cai Yuanqing (22513351)

“…BOHB merges Bayesian optimization and Hyperband, significantly speeding up the optimization process. …”

Example of data used in Table 1. by Hoa Thi Trinh (20347834)

An overlay plot for the relative web-search popularity, Covid-19 incident cases, mortality, and stringency index trajectories, stratified by country of origin. by Panayiotis D. Ziakas (9510346)

Subjects:

Similarity indices between relative web search popularity and Covid-19 time-series. by Panayiotis D. Ziakas (9510346)

Subjects:

Web-search relative popularity trends as a proxy of public interest for Covid-19. by Panayiotis D. Ziakas (9510346)

Subjects:

Data-Quality-Navigated Machine Learning Strategy with Chemical Intuition to Improve Generalization by Songran Yang (6332597)

“…Most ML works focused on improvements in algorithms and feature representations. However, the data quality, as the foundation of ML, has been largely overlooked, also leading to the absence of data evaluation and processing methods in ML fields. …”

ANFIS MODELING IN PROJECTION WELDING OF NUTS TO SHEETS by bircan albak (13647625)

“…After all good agreements and validations, Genetic Algorithm (GA) was used to obtain some intermediate values not found on the actual experimental data. …”