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Boosting algorithms

Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up

Aref Andishgar, Sina Bazmi, [ ... ], Fariba Ahmadizar

Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm

Lanh Si Ho, Van Quan Tran

Assessing the predictive value of morphological traits on primary lifestyle of birds through the extreme gradient boosting algorithm

Luis Javier Madrigal-Roca

Chronic kidney disease prediction using boosting techniques based on clinical parameters

Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Saurav Mallik, Zhongming Zhao

Automated surgical planning in spring-assisted sagittal craniosynostosis correction using finite element analysis and machine learning

Jenson Jacob, Selim Bozkurt

The application of structural and machine learning models to predict the default risk of listed companies in the Iranian capital market

Pejman Peykani, Mostafa Sargolzaei, [ ... ], Hamidreza Kamyabfar

Classification of mathematical test questions using machine learning on datasets of learning management system questions

Gun Il Kim, Sungtae Kim, Beakcheol Jang

Applicability of machine learning technique in the screening of patients with mild traumatic brain injury

Miriam Leiko Terabe, Miyoko Massago, [ ... ], Luciano de Andrade

Developing interpretable machine learning-Shapley additive explanations model for unconfined compressive strength of cohesive soils stabilized with geopolymer

Anh Quan Ngo, Linh Quy Nguyen, Van Quan Tran

An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff

Muhammad Irfan, Ahmad Shaf, [ ... ], Bahran Taghreed Ali M.

Automatic classification of patients with myocardial infarction or myocarditis based only on clinical data: A quick response

Sheikh Shah Mohammad Motiur Rahman, Zhihao Chen, [ ... ], Raphaël Couturier

Interpretable machine learning with tree-based shapley additive explanations: Application to metabolomics datasets for binary classification

Olatomiwa O. Bifarin

Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka

Namal Rathnayake, Upaka Rathnayake, Tuan Linh Dang, Yukinobu Hoshino

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