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Boosting algorithms

Machine learning-based prediction of the axial load capacity of UHPC strengthened reinforced concrete columns: A comparative analysis

Viet Hai Hoang, Minh Quang Tran, Van Thuc Ngo

A water solubility prediction algorithm based on the StackBoost model

Bin Pan, Xiaoyu Hou, [ ... ], Shuangcai Li

Machine learning prediction of metabolic-associated fatty liver disease in type 2 diabetes: Emphasizing data imputation and feature selection

Zahra Khosravi, Farnaz Barzinpour, [ ... ], Alireza Esteghamati

Efficient talent identification in women’s football: A ranking-based approach for goal scoring analysis

Songyi Song, Hee-Su Kim

Unbiased inference for echocardiogram urgency prediction using double machine learning

Yiqun Jiang, Wenli Zhang, [ ... ], Qing Li

Comparative evaluation of machine learning models for predicting Cimbex quadrimaculata population density across multiple problem formulations

Yunus Güral

Toward transparent intelligence: Explainable stacked ensembles learning for LiDAR point cloud segmentation

Afridi Rahman Bondhon, Emon Kumar Dey

Genetic variants and polygenic risk scores associated with paroxysmal atrial fibrillation in the Japanese population

Megumi Shiomi, Yuki Nagata, [ ... ], Toshihiro Tanaka

Development of an exploratory prediction model for preoperative CK19 expression in esophageal cancer driven by radiomics and machine learning

Jiafu Yang, Sicheng Wang, [ ... ], Yangkang Li

A hybrid machine learning and explainable AI framework for optimizing risk-based authentication

K. Sasikumar, Sivakumar Nagarajan

Geospatial variation and machine learning approaches to predict open defecation practice in Zambia

Andualem Addisu Birlie, Nega Abebe Meshesha, [ ... ], Muluken Belachew Mengistie

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