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Decision trees

An interpretable and balanced machine learning framework for Parkinson’s disease prediction using feature engineering and explainable AI

Nasim Mahmud Nayan, Al Mamun Rana, [ ... ], Jasim Uddin

Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach

Novel Chandra Das, Probir Kumar Ghosh, [ ... ], Mohammad Ziaul Islam Chowdhury

Leveraging spatial data infrastructure for machine learning based building energy performance prediction

Suleyman Sisman, Abdullah Kara, Arif Cagdas Aydinoglu

Validation of the Keen Eye computer-based method for diagnosing visual neglect using a dual-task paradigm

Elizaveta Vasyura, Maria Kovyazina, [ ... ], Yuri Zinchenko

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

Optimizing network bandwidth slicing identification: NADAM-enhanced CNN and VAE data preprocessing for enhanced interpretability

Md. Fahim Ul Islam, Shahriar Hossain, [ ... ], Amitabha Chakrabarty

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

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

Clinically interpretable electrovectorcardiographic machine learning criteria for the detection of echocardiographic left ventricular hypertrophy

Fernando De la Garza-Salazar, Brian Egenriether

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

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

Construction and application of machine learning models for predicting intradialytic hypotension

Pingping Wang, Ningjie Xu, [ ... ], Kedan Cai

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

An encrypted traffic classification method based on autoencoders and convolutional neural networks

Shengwei Xu, Jijie Han, Jianbo Wang, Yijie Bai

Adaptive TreeHive: Ensemble of trees for enhancing imbalanced intrusion classification

Mahbub E. Sobhani, Anika Tasnim Rodela, Dewan Md. Farid

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