Performance analysis of different FL algorithms on both models. by Anjir Ahmed Chowdhury (21696531)

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis (AUC-ROC). by Audêncio Victor (10400699)

Data augmentations used on the data during model training. by Henrik Mustonen (20378529)

Data Sheet 2_A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes.pdf by Shuheng Yang (11680249)

Data Sheet 1_A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes.pdf by Shuheng Yang (11680249)

Data embedding by using Neural Quantum Embedding (NQE). by Aninda Astuti (21736334)

Receiver operating characteristic curve for murmur detection algorithm. by Andrew McDonald (2307400)

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Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

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CatBoost algorithm structure to predict clinical outcome. by Andrew McDonald (2307400)

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Overview of Algorithm 2. by Hao Zhang (15339)

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”

Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability by Okechukwu Paul-Chima Ugwu (21578037)

Ablation comparison experimental data. by Tengfei Ma (597633)

Data Sheet 1_Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis.docx by Jingtai Ma (21225476)

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip by Rui Zhang (13940)

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx by Rui Zhang (13940)

Performance metrics evaluation of each algorithm on four diverse datasets. by Yubraj Gupta (7465394)

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Insertion of new data point. by Ahmed Mehedi Nizam (8661468)

“…After each such inclusion, the n-th central moment of the corresponding class is updated by some incremental calculations in constant time, i.e., each class evolves gradually and changes its definition incrementally after the inclusion of every new data point. We then use k-fold and stratified k-fold cross validation techniques to compare the performance of our proposed model with various state of the art supervised learning algorithms including Neural Network (NN), Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbor (KNN) and Logistic Regression (LR) using Pima Indian Diabetes (PID) dataset and Wisconsin breast cancer dataset, which are popular datasets in machine learning research. …”

DMTD algorithm. by Yunhu Huang (21402795)

“…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”

Step-by-step, indirect, deterministic record linkage algorithm for FREGAT and SNDS databases. by Magali Laborey (22582224)