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Research article

First published 2022-02-02

Forecasting public bicycle rental demand using an optimized eXtreme Gradient Boosting model

Yuanjiao Hu, Zhaoyun Sun, Wei Li [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2025

Void damage detection of rubber bearings in bridge structures under laboratory conditions using the active sensing method and BO-XGBoost algorithm

Chubing Deng, Yunfei Li, Feng Xiong [...]

Structural Health Monitoring

Open access

Research article

First published 2020-10

Using XGBoost and Skip-Gram Model to Predict Online Review Popularity

Lien Thi Kim Nguyen, Hao-Hsuan Chung, Kristine Velasquez Tuliao [...]

Sage Open

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Research article

First published 2025-11

Enhanced Credit Card Approval Prediction With XGboost and Metaheuristic Optimization for Reduced Risk

Qian Deng, Wencheng Wang, Mengqi Gu

Web Intelligence

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Research article

First published 2023-05-04

An ensemble fraud detection approach for online loans based on application usage patterns

Meiling Xu, Yongqiang Fu, Boping Tian

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2024-03-05

RETRACTED: Hyper ensembled extreme gradient boosting techniques via novel triple algorithms to appraise the hardened properties of modern ternary admixed concrete

Haiyang Shen

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open access

Research article

First published 2023-12

Blood Biomarkers Panels for Screening of Colorectal Cancer and Adenoma on a Machine Learning-Assisted Detection Platform

Hui Wang, Zhiwei Zhou, Haijun Li [...]

Cancer Control

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Research article

First published 2026-3

Predicting and Evaluating Load-Displacement Trends of Helical Piles Using Machine Learning–Based Algorithms

Masoud Nobahar, Amirhossein Rahimi, Abolfazl Eslami

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2020-8

Predicting Trip Cancellations and No-Shows in Paratransit Operations

Fernando A. Acosta Pérez, Gabriel E. Rodríguez Ortiz, Everson Rodríguez Muñiz [...]

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2025-12

An Exploration of Deploying Predictive Analytics for Loan Default Using Ensemble Learning Techniques

Bhanu Prakash, Ejaz Ahmed, Rima Dutta

Journal of Operations and Strategic Planning

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