Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

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Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things by Junyu Ren, Haibin Wan, Chaoyang Zhu, Tuanfa Qin

Subjects: “…ensemble learning…”
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Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles by Evans Teiko Tetteh, Beata Zielosko

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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

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Adapting Ensemble‐Calibration Techniques to Probabilistic Solar‐Wind Forecasting by N. O. Edward‐Inatimi, M. J. Owens, L. Barnard, H. Turner, M. Marsh, S. Gonzi, M. Lang, P. Riley

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Image Quality Assessments by Leveraging Diverse Visual Tasks by Joonhee Lee, Dongwon Park, Se Young Chun

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NEUVAC: Nonlinear Extreme Ultraviolet Irradiance Model for Aeronomic Calculations by Daniel A. Brandt, Aaron J. Ridley

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A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease by K. M. Tawsik Jawad, Anusha Verma, Fathi Amsaad, Lamia Ashraf

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Ensemble graph auto-encoders for clustering and link prediction by Chengxin Xie, Jingui Huang, Yongjiang Shi, Hui Pang, Liting Gao, Xiumei Wen

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Func-Bagging: An Ensemble Learning Strategy for Improving the Performance of Heterogeneous Anomaly Detection Models by Ruinan Qiu, Yongfeng Yin, Qingran Su, Tianyi Guan

Subjects: “…ensemble learning…”
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MobileNet-HeX: Heterogeneous Ensemble of MobileNet eXperts for Efficient and Scalable Vision Model Optimization by Emmanuel Pintelas, Ioannis E. Livieris, Vasilis Tampakas, Panagiotis Pintelas

Subjects: “…ensemble learning…”
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Accelerated and precise skin cancer detection through an enhanced machine learning pipeline for improved diagnostic accuracy by SM Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, P.K. Meena, V.P. Meena, Jitendra Bahadur, Abhishek Appaji

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The potential impacts of climate and forest changes on streamflow for micro-, meso- and macro-scale catchments in Norway by Shaochun Huang, Stephanie Eisner, Wai Kwok Wong, Nicolas Cattaneo

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Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement by Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian

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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

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An optimized ensemble grey wolf-based pipeline for monkeypox diagnosis by Ahmed I. Saleh, Asmaa H. Rabie, Shimaa E. ElSayyad, Ali E. Takieldeen, Fahmi Khalifa

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Integrating Remote Sensing and Soil Features for Enhanced Machine Learning-Based Corn Yield Prediction in the Southern US by Sayantan Sarkar, Javier M. Osorio Leyton, Efrain Noa-Yarasca, Kabindra Adhikari, Chad B. Hajda, Douglas R. Smith

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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

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Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (<i>Annona squamosa</i> L.) by Xiangtai Jiang, Lutao Gao, Xingang Xu, Wenbiao Wu, Guijun Yang, Yang Meng, Haikuan Feng, Yafeng Li, Hanyu Xue, Tianen Chen

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Solar photovoltaic panel cells defects classification using deep learning ensemble methods by H. Tella, A. Hussein, S. Rehman, B. Liu, A. Balghonaim, M. Mohandes

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