File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

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List of the time used by each algorithm. by JiaMing Gong (20427837)

“…Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …”

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”

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

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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)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

LSTM algorithm for cyber attack prediction in IoMT. by Mohanad Faeq Ali (21354273)

Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf by Li Yang (6520)

“…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …”

Statistical results of various algorithms. by ZeSheng Lin (20501356)

“…<div><p>Data classification is an important research direction in machine learning. …”

Flowchart representation of lion optimization algorithm for hyperparameter tuning in the HCAP model. by Mohanad Faeq Ali (21354273)

DMTD algorithm. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf by Mikhail Ya Yadgarov (18543769)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

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PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection by Mehdi Khalil (20625037)

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Flowchart of the implemented Pareto optimization algorithm. by Vytautas Abromavičius (22008573)

Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf by Luciana Erika Yaginuma (10477013)

“…Data was analyzed by means of a hybrid machine learning (ML) approach, which combines unsupervised and supervised methods. …”

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)

“…Robotic platforms can be used to automate this task and provide sufficiently large and reproducible data sets including provenance. …”

The list of parameters of the modified data set for machine learning (<i>n</i> = 162). by Uğur Ejder (22683228)

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SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…These classification algorithms often requires conversion of a medical data to another space in which the original data is reduced to important values or moments. …”