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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, [ ... ], 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

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

Li-Pang Chen

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

Ritaban Dutta, Ling Chen, David Renshaw, Daniel Liang

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

Misuk Kim, Kyu-Baek Hwang

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

Ranjit Kumar Paul, Md. Yeasin, [ ... ], Ajit Gupta

Predicting the number of days in court cases using artificial intelligence

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

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