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Boosting algorithms

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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BOOME: A Python package for handling misclassified disease and ultrahigh-dimensional error-prone gene expression data

Li-Pang Chen

published 27 Oct 2022

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Artificial intelligence automates the characterization of reversibly actuating planar-flow-casted NiTi shape memory alloy foil

Ritaban Dutta, Ling Chen, David Renshaw, Daniel Liang

published 19 Oct 2022

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An empirical evaluation of sampling methods for the classification of imbalanced data

Misuk Kim, Kyu-Baek Hwang

published 28 Jul 2022

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Machine learning techniques for forecasting agricultural prices: A case of brinjal in Odisha, India

Ranjit Kumar Paul, Md. Yeasin, Pramod Kumar, Prabhakar Kumar, M. Balasubramanian, H. S. Roy, A. K. Paul, Ajit Gupta

published 06 Jul 2022

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Predicting the number of days in court cases using artificial intelligence

Raphael Souza de Oliveira, Amilton Sales Reis Jr., Erick Giovani Sperandio Nascimento

published 26 May 2022

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