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

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Weekdays and weekend patterns for net demand. by Mohd Sakib (20565228)

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Pattern of the training and validating data for the last two months. by Mohd Sakib (20565228)

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IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”

Box plot the selected feature for weekends and weekdays in the dataset. by Mohd Sakib (20565228)

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The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”

IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”

Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues. by Huamei Li (8815955)

Assessment of multiple parameters for Cell2Spatial performance and assignment strategy. by Huamei Li (8815955)

AUC scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

“…Under the framework of model averaging, this paper proposes a criterion for the selection of weights in the aggregation of multiple models, employing a focal loss function with Mallows’ form to assign weights to the base models. …”

Recall scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

“…Under the framework of model averaging, this paper proposes a criterion for the selection of weights in the aggregation of multiple models, employing a focal loss function with Mallows’ form to assign weights to the base models. …”

Algorithm for MFISTA-VA [30]. by Faisal Najeeb (20542714)

“…This method combines the temporal incoherence of stack-of-stars Golden-angle-radial sampling pattern and acceleration capability of parallel MRI (PI) and compressed sensing (CS) for highly accelerated free-breathing DCE-MRI reconstruction. …”

F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

“…Under the framework of model averaging, this paper proposes a criterion for the selection of weights in the aggregation of multiple models, employing a focal loss function with Mallows’ form to assign weights to the base models. …”

Accuracy metrics of mapping tools on spatial transcriptomics (ST) data from multiple tissues. by Huamei Li (8815955)

Actual vs predicted net demand for all three models. by Mohd Sakib (20565228)

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Fig 17 - by Mohd Sakib (20565228)

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Plot for whole validation data for weekend training. by Mohd Sakib (20565228)

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Overall performance evaluation on the validation data. by Mohd Sakib (20565228)

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Wilcoxon signed-rank test results. by Mohd Sakib (20565228)

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A basic structure of the bidirectional long short-term memory. by Mohd Sakib (20565228)

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