A Hybrid Model for Psoriasis Subtype Classification: Integrating Multi Transfer Learning and Hard Voting Ensemble Models by İsmail Anıl Avcı, Merve Zirekgür, Barış Karakaya, Betül Demir

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Advanced Credit Card Fraud Detection: An Ensemble Learning Using Random Under Sampling and Two-Stage Thresholding by Ibrahim Almubark

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An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

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MSH-YOLOv8: Mushroom Small Object Detection Method with Scale Reconstruction and Fusion by YE Dapeng, JING Jun, ZHANG Zhide, LI Huihuang, WU Haoyu, XIE Limin

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A Data-Driven Approach to Improve Cocoa Crop Establishment in Colombia: Insights and Agricultural Practice Recommendations from an Ensemble Machine Learning Model by Leonardo Talero-Sarmiento, Sebastian Roa-Prada, Luz Caicedo-Chacon, Oscar Gavanzo-Cardenas

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A learning‐based approach to regression analysis for climate data–A case of Northeast China by Jiaxu Guo, Yidan Xu, Liang Hu, Xianwei Wu, Gaochao Xu, Xilong Che

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Ensemble automated approaches for producing high‐quality herbarium digital records by Robert P. Guralnick, Raphael LaFrance, Julie M. Allen, Michael W. Denslow

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Research of Bearing Compound Fault Diagnosis based on EEMD and Hilbert Envelope Analysis by Yan Tianxiao, Zhang Ruiliang, Wang Tie, Jiang Xiongfei

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Multitier ensemble classifiers for malicious network traffic detection by Jie WANG, Lili YANG, Min YANG

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Enhancing aviation control security through ADS-B injection detection using ensemble meta-learning models with Explainable AI by Vajratiya Vajrobol, Geetika Jain Saxena, Sanjeev Singh, Amit Pundir, Brij B. Gupta, Akshat Gaurav, Kwok Tai Chui

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Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

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Uncertainty Quantification for Machine Learning‐Based Ionosphere and Space Weather Forecasting: Ensemble, Bayesian Neural Network, and Quantile Gradient Boosting by Randa Natras, Benedikt Soja, Michael Schmidt

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Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells by Esraa Hamouda, Abeer El-Korany, Soha Makady

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Predicting CMEs Using ELEvoHI With STEREO‐HI Beacon Data by Maike Bauer, Tanja Amerstorfer, Jürgen Hinterreiter, Andreas J. Weiss, Jackie A. Davies, Christian Möstl, Ute V. Amerstorfer, Martin A. Reiss, Richard A. Harrison

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Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning by Yi Qin, Junyan Chen, Lei Jin, Rui Yao, Zidan Gong

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Integrating Multilayer Perceptron and Support Vector Regression for Enhanced State of Health Estimation in Lithium-Ion Batteries by Sadiqa Jafari, Jisoo Kim, Wonil Choi, Yung-Cheol Byun

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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

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A stacked ensemble approach with resampling techniques for highly effective fraud detection in imbalanced datasets by Idongesit E. Eteng, Udeze L. Chinedu, Ayei E. Ibor

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An Integrated Stacking Ensemble Model for Natural Gas Purchase Prediction Incorporating Multiple Features by Junjie Wang, Lei Jiang, Le Zhang, Yaqi Liu, Qihong Yu, Yuheng Bu

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Automatic detection, classification, and segmentation of sagittal MR images for diagnosing prolapsed lumbar intervertebral disc by Md. Abu Sayed, G. M. Mahmudur Rahman, Md. Sherajul Islam, Md. Alimul Islam, Jeongwon Park, Hasan Ahmed, Akram Hossain, Rahat Shahrior

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