Algorithm parameter setting. by Haiyan Zhang (176919)

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Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past. by Jingru Dong (14076094)

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Comparative results with existing representative algorithms. by Yan Qin (118276)

DataSheet1_Predicting adverse drug event using machine learning based on electronic health records: a systematic review and meta-analysis.docx by Qiaozhi Hu (8775155)

“…Studies that developed ML models for predicting specific ADEs or ADEs associated with particular drugs were included using EHR data.…”

Summary of relevant works. by Bashir Olaniyi Sadiq (22478011)

“…This paper presents a UAV-BPL synchronization algorithm that uses the farm’s existing electrical grid via Broadband over Power Line (BPL) communication to enable cost-effective, scalable data collection. …”

The overview of the ML algorithms’ flowchart. by Yasemin Ayaz Atalan (21989402)

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”

Data Sheet 1_Closing the loop: establishing an autonomous test-learn cycle to optimize induction of bacterial systems using a robotic platform.pdf by Jan Benedict Spannenkrebs (20595722)

“…To achieve this, each part must be characterised in a time-resolved manner under relevant conditions. Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. …”

Comparison of imbalanced data handling techniques using accuracy and AUC values. by Alemu Birara Zemariam (17540938)

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

Subjects: “…missforest imputation algorithm…”

Silhouette scores for each clustering algorithm. by Zoïe W. Alexiou (21989297)

Performance evaluation measure of the machine learning algorithm after data balancing with SMOTE and grid search tuning. by Alemu Birara Zemariam (17540938)

UIQI of the results of each algorithm. by Haiyan Zhang (176919)

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PSNR of the results of each algorithm. by Haiyan Zhang (176919)

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Running time of each algorithm. by Haiyan Zhang (176919)

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Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

Phases of proposed algorithm. by Muhammad Abdullah (3357692)

“…An enhanced Bingzhen and Weimin model-based decision-making algorithm is developed to support intelligent diagnosis. …”

Improve algorithm settings. by Hui Zhao (7395)

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Evaluation metrics of the models constructed by each algorithm. by Xiaoyan Yang (259084)

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Sensitivity Analysis of the “Swift Effect” Across Matching Algorithms. by James M. Smoliga (9074225)

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Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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