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Scientific Research Publishing20h
A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()
Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...
Computational tool helps to identify long non-coding RNAs in plants
An international research team, led by Jian-Feng Mao, has developed PlantLncBoost, a new computational tool that helps to ...
IEEE26d
Track-association Algorithm Based on Fuzzy C-Means Clustering with PSO
This paper mainly discusses the track-association problem for the distributed multi-target tracking system. A novel fuzzy clustering algorithm which uses PSO algorithm and combines with Fuzzy ...
BMJ27d
Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey
Objectives This study aimed to employ machine learning algorithms to predict ... Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree classifier, ...
Frontiers29d
Exploration in association between vitamin D and cutaneous melanoma and explainable machine learning prediction
Objective: This study aims to examine association between vitamin D with melanoma and develop an explainable machine learning model ... Ten ML models, including Decision Tree (DT), K-Nearest Neighbors ...
IEEE1mon
Interactive Machine Learning Tool for Clustering in Visual Analytics
Some of these interactive approaches fall into the category of visual analytics and emphasize the power of visualizations to help find clusters manually in various types of datasets or to verify the ...