Binary contingency table. by Lu Xiao (314030)

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+SVC and NQE+QSVC in the 5 PCs case. by Aninda Astuti (21736334)

The results of 10 performance metrics from the miRNA biomarker study (M0 vs M1), comparing NQE+NN and NQE+QNN in the 5 PCs case. by Aninda Astuti (21736334)

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... by Aninda Astuti (21736334)

Classification performance results using 5-fold cross-validation for the training datasets after applying the data imbalance tool, SMOTE and NQE for data embedding. The values with... by Aninda Astuti (21736334)

Classification standard of highway tunnels. by Chunquan Dai (16819414)

Classification thresholds for assessment of technical status of civil structures. by Chunquan Dai (16819414)

Optimizing Kernel Transformations to Handle Binary Class Imbalanced Dataset Classification by Vaibhavi Patel (19843282)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

Flow diagram of the proposed model. by Uğur Ejder (22683228)

“…Clinical, demographic, and supplement variables were preprocessed into 21 predictors. Four algorithms (K-Nearest Neighbors, Classification and Regression Tree, Support Vector Machine, and Random Forest) were implemented alongside their LR–ABC hybrid counterparts. …”

Timeline of a single trial for dataset 1. by Rabia Avais Khan (16955056)

“…For that purpose, classification the brain signals with a very high accuracy and minimization of the errors is of profound importance to the researchers. …”

Block diagram of proposed methodology. by Rabia Avais Khan (16955056)

“…For that purpose, classification the brain signals with a very high accuracy and minimization of the errors is of profound importance to the researchers. …”

Timeline of a single trial for dataset 2. by Rabia Avais Khan (16955056)

“…For that purpose, classification the brain signals with a very high accuracy and minimization of the errors is of profound importance to the researchers. …”

<b>BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification</b> by BRISC Dataset (22559540)

“…It provides high-quality, physician-validated pixel-level masks and a balanced multi-class classification split, suitable for benchmarking segmentation and classification algorithms as well as multi-task learning research.…”

Development and validation of an electronic health record-based algorithm for identifying TBI in the VA: A VA Million Veteran Program study by Victoria C. Merritt (8581929)

Fairness in Machine Learning: A Review for Statisticians by Xianwen He (22529252)

Silibinin solubilization: combined effect of co-solvency and inclusion complex formation by Azam Dehghan (18434551)

“…SLB solubility in the presence of the ethanol co-solvent and HP-β-CD complexing agent was optimized by adopting a genetic algorithm suggesting the phosphate buffer saline solution supplemented by 6%v/v ethanol and 8 mM HP-β-CD as an optimized medium. …”

Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports by Olivier Q. Groot (9370461)

Supplementary materials for PhD thesis 'Characterisation Of The Blazhko Effect In RR Lyrae Stars Using SuperWASP Data' by Paul Greer (22619328)