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Decision trees

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas

Pei Zhao, Hao Song, Guang Ling

Estimating the prevalence alcohol use disorder and relapse risks in Kermanshah Province of Iran: Integrating direct, indirect methods, and tree-based analysis

Faezeh Tatari, Mostafa Alikhani, [ ... ], Bahareh Rahami

Association between hemoglobin glycation index and 28-day all-cause mortality in acute myocardial infarction patients: Analysis of the MIMIC-IV database

Yue Lv, Lingchen Wei, [ ... ], Jianlin Wu

Machine learning-driven Diabetes Health Tracer (DHT): Optimizing prognosis using RaSK_GraDe and RaSK_GraDeL models

Muhammad Noman, Maria Hanif, [ ... ], Basit Qureshi

Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management

Somia A. Asklany, Doaa Mohammed, [ ... ], Wajdan Al Malwi

Screening mild cognitive impairment using aspects of personal, social, and functional lifestyle: Machine Learning Approaches

Kyle Masato Ishikawa, Matthew Uechi, Hyeong Jun Ahn, Eunjung Lim

Assessing generalizability of a dengue classifier across multiple datasets

Bingqian Lu, Yanni Li, Ciaran Evans

MALDI-TOF MS for malaria vector surveillance: A cost-comparison analysis using a decision-tree approach

Jonathan Karisa, Cassidy Rist, [ ... ], Marta Maia

Measuring spatial accessibility for wheelchair users: A case study in a Chinese campus

Yizhe Huang, Chaobo Shi, [ ... ], Guangyue Nian

A machine learning framework for predicting fuel consumption and CO₂ emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation

Rania A. Ibrahim, Nahla E. Zakzouk

Machine translationese of large language models: Dependency triplets, text classification, and SHAP analysis

Shukang Zhang, Chaoyong Zhao

The knowledge level and influencing factors of sarcopenia among Chinese community-dwelling older adults

Wanyue Guo, Tianya Wang, [ ... ], Qing Zhang

A hybrid deep learning framework combining transformer and logistic regression models for automatic marine mucilage detection using sentinel-1 SAR data: A case study in Armutlu-Zeytinbağı, Marmara Sea

Enes Bakis, Emrullah Acar, Musa Yilmaz

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