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Boosting algorithms

Privacy-preserving recommender system using the data collaboration analysis for distributed datasets

Tomoya Yanagi, Shunnosuke Ikeda, Noriyoshi Sukegawa, Yuichi Takano

Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy

Akshansh Mishra, Vijaykumar Jatt, [ ... ], Emad Abouel Nasr

RRMSE-enhanced weighted voting regressor for improved ensemble regression

Shikun Chen, Wenlong Zheng

Evaluation of stroke sequelae and rehabilitation effect on brain tumor by neuroimaging technique: A comparative study

Xueliang Guo, Lin Sun

Machine learning-based analyzing earthquake-induced slope displacement

Jiyu Wang, Niaz Muhammad Shahani, [ ... ], Xin Wei

Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors

Montaser Abdelsattar, Mohamed A. Ismeil, [ ... ], Ahmed Emad-Eldeen

Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era

Lathan Liou, Elizabeth Mostofsky, [ ... ], Murray A. Mittleman

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

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