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Decision trees

Approaches for handling imbalanced data used in machine learning in the healthcare field: A case study on Chagas disease database prediction

André G. Coimbra, Cleiane G. Oliveira, [ ... ], Marcos F.S.V. D’Angelo

A novel methodological approach to SaaS churn prediction using whale optimization algorithm

Muhammed Kotan, Ömer Faruk Seymen, [ ... ], Tijen Över Özçelik

Inner pace: A dynamic exploration and analysis of basketball game pace

Fei Zhang, Qing Yi, [ ... ], Xiao Xu

An active machine learning framework for automatic boxing punch recognition and classification using upper limb kinematics

Saravanan Manoharan, John Warburton, [ ... ], Babji Srinivasan

A hybrid TCN-XGBoost model for agricultural product market price forecasting

Tianwen Zhao, Guoqing Chen, [ ... ], Piyapatr Busababodhin

Microfinance institutions failure prediction in emerging countries, a machine learning approach

Yvan J. Garcia-Lopez, Patricia Henostroza Marquez, Nicolas Nuñez Morales

Research on memory failure prediction based on ensemble learning

Peng Zhang, Jialiang Zhang, Yi Li

Privacy-preserving recommender system using the data collaboration analysis for distributed datasets

Tomoya Yanagi, Shunnosuke Ikeda, Noriyoshi Sukegawa, Yuichi Takano

Tracking and analyzing the spatio-temporal changes of rice planting structure in Poyang Lake using multi-model fusion method with sentinel-2 multi temporal data

Fenglan Pi, Yang Chen, [ ... ], Yuanzhi Shi

Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy

Akshansh Mishra, Vijaykumar Jatt, [ ... ], Emad Abouel Nasr

A population spatialization method based on the integration of feature selection and an improved random forest model

Zhen Zhao, Hongmei Guo, [ ... ], Zonghang He

Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach

Niloy Das, Md Bipul Hossain, [ ... ], Anupam Kumar Bairagi

Evaluating how different balancing data techniques impact on prediction of premature birth using machine learning models

Anna Beatriz Silva, Elisson da Silva Rocha, João Fausto Lorenzato, Patricia Takako Endo

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