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Artificial intelligence

Enhancing bank marketing strategies with ensemble learning: Empirical analysis

Xing Tang, Yusi Zhu

Utilizing machine learning for survival analysis to identify risk factors for COVID-19 intensive care unit admission: A retrospective cohort study from the United Arab Emirates

Aamna AlShehhi, Taleb M. Almansoori, Ahmed R. Alsuwaidi, Hiba Alblooshi

Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils

Hasan Mozaffari, Ali Akbar Moosavi, Mohammad Amin Nematollahi

Novel ensemble learning approach with SVM-imputed ADASYN features for enhanced cervical cancer prediction

Raafat M. Munshi

Supervised diagnostic classification of cognitive attributes using data augmentation

Ji-Young Yoon, Gahgene Gweon, Yun Joo Yoo

Assessing the predictive value of morphological traits on primary lifestyle of birds through the extreme gradient boosting algorithm

Luis Javier Madrigal-Roca

Research on military-civilian collaborative innovation of science and technology based on a stochastic differential game model

Xin Liang, Yunjuan Liang, Weijia Kang, Hua Wei

A parallel Canny edge detection algorithm based on OpenCL acceleration

Yupu Song, Cailin Li, [ ... ], Han Xiao

Optimization and inventory management under stochastic demand using metaheuristic algorithm

Nguyen Duy Tan, Hwan-Seong Kim, [ ... ], Sam-Sang You

Accurate graph classification via two-staged contrastive curriculum learning

Sooyeon Shim, Junghun Kim, Kahyun Park, U. Kang

Applying ChatGPT to tackle the side effects of personal learning environments from learner and learning perspective: An interview of experts in higher education

XiaoShu Xu, XiBing Wang, YunFeng Zhang, Rong Zheng

Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning

Turki Aljrees

SSC: The novel self-stack ensemble model for thyroid disease prediction

Shengjun Ji

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