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Research article

First published 2026-1

Translator Style in Technical Classics: A Machine-Learning approach on English Translations of Tian Gong Kai Wu

Wenjing Lv, Jinquan Wang

Sage Open

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Research article

First published 2023-4

All-star approach to a small medical imaging dataset: combined deep,transfer,and classical machine learning approaches for the determination of radial head fractures

Ozgur I Koska, Atilla Hikmet Çilengir, Muhsin Engin Uluç [...]

Acta Radiologica

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Research article

First published 2023-10-10

Inter-Hospital Advanced and Mild Alzheimer’s Disease Classification Based on Electroencephalogram Measurements via Classical Machine Learning Algorithms

Alfonso Parreño Torres, Carlos Roncero-Parra, Alejandro L. Borja [...]

Journal of Alzheimer’s Disease

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Research article

First published 2019-5

Occupational classifications: A machine learning approach

Akina Ikudo, Julia I. Lane, Joseph Staudt [...]

Journal of Economic and Social Measurement

Open access

Research article

First published 2015

Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning

Amparo Alonso-Betanzos, Verónica Bolón-Canedo, Guy R. Heyndrickx [...]

Clinical Medicine Insights: Cardiology

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Research article

First published 2019-11

Machine learning applied to pack classification

Weiqiang Hang, Timothy Banks

International Journal of Market Research

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Research article

First published 1997-7

Machine Learning Through Data Classification and Reduction

Wojciech Ziarko, Ning Shan

Fundamenta Informaticae

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Research article

First published 2025-1

Use of Machine Learning for Automated Classification of Sand Type

Linzhu Li, Magued Iskander

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2012-3

A design heuristic for hybrid classification ensembles in machine learning

Dustin Baumgartner, Gursel Serpen

Intelligent Data Analysis: An International Journal

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Research article

First published 2022-2

Classification of Semiconductors Using Photoluminescence Spectroscopy and Machine Learning

Yinchuan Yu, Matthew D. McCluskey

Applied Spectroscopy

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