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Boosting algorithms

Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms

Huu Nam Nguyen, Quoc Thanh Tran, [ ... ], Van Quan Tran

Predicting learning achievement using ensemble learning with result explanation

Tingting Tong, Zhen Li

NATE: Non-pArameTric approach for Explainable credit scoring on imbalanced class

Seongil Han, Haemin Jung

A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI

Balraj Preet Kaur, Harpreet Singh, [ ... ], Md. Mehedi Hassan

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

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