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Boosting algorithms

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

Expected goals in football: Improving model performance and demonstrating value

James Mead, Anthony O’Hare, Paul McMenemy

Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions

Ezequiel de la Rosa, Diana M. Sima, [ ... ], David Robben

Machine learning with textural analysis of longitudinal multiparametric MRI and molecular subtypes accurately predicts pathologic complete response in patients with invasive breast cancer

Aaquib Syed, Richard Adam, [ ... ], Tim Q. Duong

Implementing machine learning methods with complex survey data: Lessons learned on the impacts of accounting sampling weights in gradient boosting

Nathaniel MacNell, Lydia Feinstein, [ ... ], Darryl C. Zeldin

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