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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

published 28 Nov 2023

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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, Negin Sanadgol, Amir Takaloo, Hamidreza Kamyabfar

published 27 Nov 2023

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

Gun Il Kim, Sungtae Kim, Beakcheol Jang

published 18 Oct 2023

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

Miriam Leiko Terabe, Miyoko Massago, Pedro Henrique Iora, Thiago Augusto Hernandes Rocha, João Vitor Perez de Souza, Lily Huo, Mamoru Massago, Dalton Makoto Senda, Elisabete Mitiko Kobayashi, João Ricardo Vissoci, Catherine Ann Staton, Luciano de Andrade

published 24 Aug 2023

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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

published 08 Jun 2023

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

Muhammad Irfan, Ahmad Shaf, Tariq Ali, Maryam Zafar, Saifur Rahman, Meiaad Ali I. Hendi, Shatha Abduh M. Baeshen, Maryam Mohammed Mastoor Maghfouri, Hailah Saeed Mohammed Alahmari, Ftimah Ahmed Ibrahim Shahhar, Nujud Ahmed Ibrahim Shahhar, Amnah Sultan Halawi, Fatima Hussen Mahnashi, Samar M. Alqhtani, Bahran Taghreed Ali M.

published 08 Jun 2023

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

Sheikh Shah Mohammad Motiur Rahman, Zhihao Chen, Alain Lalande, Thomas Decourselle, Alexandre Cochet, Thibaut Pommier, Yves Cottin, Michel Salomon, Raphaël Couturier

published 05 May 2023

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

Olatomiwa O. Bifarin

published 04 May 2023

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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

published 26 Apr 2023

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Expected goals in football: Improving model performance and demonstrating value

James Mead, Anthony O’Hare, Paul McMenemy

published 05 Apr 2023

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

Ezequiel de la Rosa, Diana M. Sima, Jan S. Kirschke, Bjoern Menze, David Robben

published 30 Mar 2023

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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, Thomas Ren, Jinyu Lu, Takouhie Maldjian, Tim Q. Duong

published 17 Jan 2023

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

Nathaniel MacNell, Lydia Feinstein, Jesse Wilkerson, Pӓivi M. Salo, Samantha A. Molsberry, Michael B. Fessler, Peter S. Thorne, Alison A. Motsinger-Reif, Darryl C. Zeldin

published 13 Jan 2023

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