Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption by Ahmed Aljughaiman (21793526)

Pseudo-code for encrypting high-dimensional medical data attributes. by Yonggang Huang (223155)

Access control pseudo-code. by Yonggang Huang (223155)

Feature selection using Boruta algorithm. by Shayla Naznin (13014015)

“…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…”

Classification model performance on cross-validation for selected learning algorithms. by Daniel He (3477920)

Summary of the feature selection algorithms. by Martin Kostadinov (20410120)

Feature selection results from the Boruta algorithm. by Junying Wei (1710550)

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Parameterization of the feature selection algorithm. by Chenyi Zhu (9383370)

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Feature importance of selected predictors by genetic algorithm. by Taiwo A. Adekunle (22226868)

Overview of CINner’s mathematical model and simulation algorithm. by Khanh N. Dinh (20549532)

“…All selection models are further subject to viability checkpoints. …”

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

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Comparison of site selection results of three algorithms. by Junjie He (700642)

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Participant selection algorithm. by Alex Gough (16734033)

Participant selection algorithm. by Alex Gough (16734033)

Feature selection using the Boruta algorithm. by Guang Tu (22054865)

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Steps involved in genetic algorithm for feature selection. by Mohd Sakib (20565228)

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Features selection using the Boruta algorithm. by Nishat Tasnim Thity (21755858)

“…We identified the important features related to IA using the Boruta algorithm. Predictions were made using different machine learning (ML) (decision tree (DT), random forest (RF), support vector machines (SVMs), and logistic regression (LR)) models. …”

The basic process of feature selection of the random forest algorithm. by Jintao Li (448681)

Proposed genetic algorithm for feature selection. by Shirin Dehghan (19837936)

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Image 2_A comparison of design algorithms for choosing the training population in genomic models.jpeg by Alexandra Stadler (20718002)

“…<p>In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. …”