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

DMTD algorithm. by Yunhu Huang (21402795)

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Receiver operator characteristic (ROC) curves of the machine learning algorithms. by Yue Lv (549862)

Supplementary Material for: Deep learning-based algorithm for staging secondary caries in bitewings by vanNistelrooij N. (19962855)

“…Therefore, we aimed to develop a Convolutional neural network (CNN)-based algorithm for these purposes using a novel approach for determining lesion severity. …”

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

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

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

“…In total, 38 machine learning algorithms were reported, with random forest (RF) being the most frequently used, followed by support vector machine (SVM), eXtreme gradient boosting (XGBoost), decision tree (DT), and light gradient boosting machine (LightGBM). …”

EITO_E speed distance profile. by Yunhu Huang (21402795)

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PLS-SEM algorithm. by Ernest Nyamekye (18451455)

Contribution of segmentation and tracking algorithm to DTC performance. by Weheliye H. Weheliye (22022140)

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COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…Computational methods can efficiently narrow down the candidate targets for subsequent experimental validation. We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

Classification performances of Ensemble (Subspace KNN), SVM, and KNN algorithms when trained with time domain HbO features. by Ayşenur Eser (21713911)

The relevant data file for this article. by Linsha Liu (20378293)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Data Sheet 1_A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm.pdf by Tianli Wang (1438498)

Workshop Output: Embedding sustainability literacies in postdigital learning design by Clare Thomson (15468752)

“…The facilitators propose to develop a collection of crowd-sourced educator activities based on the workshop outputs for a collaborative OER, modelling the intersections of sustainability literacies, creative futures, and learning design.…”