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Machine learning algorithms

Machine learning algorithms for predicting and identifying the influencing predictors of antenatal care visits among women in Bangladesh: Evidence from BDHS 2022 data

Md. A. Salam, Md. Merajul Islam, Md. Rezaul Karim

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

Credit risk prediction model for listed companies based on improved reinforcement learning and Bayesian optimization hyperband

Cai Yuanqing, Zhenming Gao, [ ... ], Paweł Pławiak

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

Suleyman Sisman, Abdullah Kara, Arif Cagdas Aydinoglu

Porosity prediction from well logging data via a hybrid MABC-LSSVM model

Wei Su, Jie Gao, Wensheng Wu, Haoyu Zhang

MONTUR project: Dataset for understanding and forecasting tourist flows

Marco Alderighi, Tiziana Ciano, Massimiliano Ferrara, Domenico Santoro

Self-learning adaptive neuro-fuzzy approximation of robust control behavior in electric power steering systems

Tuan Anh Nguyen, Tran Minh Ngoc Do, [ ... ], Quang Vinh Tran

An efficient cyber-attack detection and classification in IoT networks with high-dimensional feature set using Levenberg-Marquardt optimized feedforward neural network

Quxi Kuang, Xianglin Kuang

Neural subgraph counting on stream graphs via localized updates and monotonic learning

Zhen Xie, Wenzhe Hou, Feiyang Wu, Hao Xu

A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study

Chunliang Jiang, GuoFeng Ru, [ ... ], Guang Zhang

Classification of images of bee pollen according to their producers

Juan D. Leal Campuzano, Carlos A. Martínez Niño, Francisco A. Gómez Jaramillo

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

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