Abbreviations used in the algorithm. by Richa Jain (6550391)

Evaluation metrics of the XGBoost model with 12 selected features on training and test sets. by Yong Zhang (5893)

Flow diagram of the systematic selection. by Christina Halmich (21637790)

Five-fold cross-validation results of mulit-scale convolution GRU algorithm at different SNRs. by Jiuxiao Cao (21594403)

XGBoost- and Mass Spectrometry-Based Feature Selection for Identifying Metabolic Biomarkers Associated with HBV-Related Liver Disease Progression and Hepatocellular Carcinoma Treat... by Shao-Hua Li (345353)

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Previously literatures on feature evaluation for relevance based on linear transformation. by Jia Liu (41593)

Overview of MitoTracer algorithm. by Xuexin Yu (733842)

Correlation heatmap of selected features. by Islam Zada (21755819)

“…In this paper, a Lean-based hybrid Intrusion Detection framework using Particle Swarm Optimization and Genetic Algorithm (PSO-GA) to select the features and Extreme Learning Machine and Bootstrap Aggregation (ELM-BA) to classify the features is introduced. …”

Selection of key anoikis-related genes. by Yufeng He (5673119)

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AutoDesigner - Core Design, a De Novo Design Algorithm for Chemical Scaffolds: Application to the Design and Synthesis of Novel Selective Wee1 Inhibitors by Pieter H. Bos (1878256)

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PoW vs PBFT based on resource utilization. by Shamsudeen Sajna (22600978)

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PoW vs PBFT based on consensus stability. by Shamsudeen Sajna (22600978)

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Performance evaluation matrix: Five ML models (Base model: MLR) – Comparative performance metrics of six machine-learning algorithms in classifying complex multimorbidity clusters.... by Moumita Mukherjee (2325979)

Supplementary file 1_Bacteriocin prediction through cross-validation-based and hypergraph-based feature evaluation approaches.docx by Suraiya Akhter (22679093)

“…This work centers on constructing web-based predictive models using the XGBoost machine learning algorithm, based on the physicochemical properties, structural characteristics, and sequence profiles of protein sequences. …”

SVR and MLPR algorithm flow optimized by GridSearchCV. by Jintao Li (448681)

Sensitivity analysis of escape coefficient (R) and escape strategy probability threshold (Ps) (based on Mean value). by Tengfei Ma (597633)

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Algorithm for constructing Boot-t CIs. by Qin Gong (118801)

“…In this process, we use the bootstrap method to construct confidence intervals for Shannon entropy and Rényi entropy. Next, we select the gamma distribution as the prior distribution and apply the Lindley approximation algorithm to calculate `estimates of Shannon entropy and Rényi entropy under different loss functions including Linex loss function, entropy loss function, and DeGroot loss function respectively. …”

Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

“…This paper suggests a better algorithm based on feature points method. During the curve approximation process, the projection points of data points and their parameters are calculated, and the data point parameters are corrected to achieve dynamic adjustment of the knot vector. …”

Selected source basins used in the transfer learning (in red triangles) after filtering out stations with missing data. by Qun Zhao (603175)

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Optimal parameters for each machine learning model are selected through the grid search. by Wonseok Jeong (5777678)

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