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Boosting algorithms

The research explores the predictive capacity of the shear strength of reinforced concrete walls with different cross-sectional shapes using the XGBoost model

Hoa Thi Trinh, Tuan Anh Pham, Vu Dinh Tho, Duy Hung Nguyen

Factors predicting access to medications for opioid use disorder for housed and unhoused patients: A machine learning approach

Aaron Esguerra, Thomas J. Weinandy

Yield prediction for crops by gradient-based algorithms

Pavithra Mahesh, Rajkumar Soundrapandiyan

Artificial intelligence-assisted metastasis and prognosis model for patients with nodular melanoma

Chan Xu, Xiaoyu Yu, [ ... ], Bei Cao

Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers

Vijaykumar S. Jatti, Dhruv A. Sawant, [ ... ], Emad S. Abouel Nasr

Advancements in intrusion detection: A lightweight hybrid RNN-RF model

Nasrullah Khan, Muhammad Ismail Mohmand, [ ... ], Wadii Boulila

Application of an ensemble CatBoost model over complex dataset for vehicle classification

Pemila M., Pongiannan R. K., [ ... ], Amr Youssef

Prediction of robo-advisory acceptance in banking services using tree-based algorithms

Witold Orzeszko, Dariusz Piotrowski

Online application for the diagnosis of atherosclerosis by six genes

Zunlan Zhao, Shouhang Chen, [ ... ], Xiqing Li

An improved method to detect arrhythmia using ensemble learning-based model in multi lead electrocardiogram (ECG)

Satria Mandala, Ardian Rizal, [ ... ], Abdul Hanan Abdullah

Machine learning evaluation for identification of M-proteins in human serum

Alexandros Sopasakis, Maria Nilsson, [ ... ], Victoria Rotter Sopasakis

Machine learning-based models to predict the conversion of normal blood pressure to hypertension within 5-year follow-up

Aref Andishgar, Sina Bazmi, [ ... ], Fariba Ahmadizar

Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm

Lanh Si Ho, Van Quan Tran

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