Machine Learning Algorithms Analysis of Synthetic Minority Oversampling Technique (SMOTE): Application to Credit Default Prediction by Emmanuel de-Graft Johnson Owusu-Ansah, Richard Doamekpor, Richard Kodzo Avuglah, Yaa Kyere Adwubi

Subjects: “…credit scoring, smote, oversampling, undersampling, class imbalance, machine learning algorithms…”
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A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

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Data Augmentation For Sorani Kurdish News Headline Classification Using Back-Translation And Deep Learning Model by Soran Badawi

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The multiple uses of artificial intelligence in exercise programs: a narrative review by Alberto Canzone, Alberto Canzone, Giacomo Belmonte, Antonino Patti, Domenico Savio Salvatore Vicari, Domenico Savio Salvatore Vicari, Fabio Rapisarda, Valerio Giustino, Patrik Drid, Antonino Bianco

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Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF by Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, Daniele Cesini

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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models by Matheus Dalmolin, Karolayne S. Azevedo, Luísa C. de Souza, Caroline B. de Farias, Martina Lichtenfels, Marcelo A. C. Fernandes

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Hierarchical forecasting of causes of death with trend breaks in mortality modeling: Kenyan case by Nicholas Bett, Juma Kasozi, Daniel Ruturwa

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Prediction of successful weaning from renal replacement therapy in critically ill patients based on machine learning by Qiqiang Liang, Xin Xu, Shuo Ding, Jin Wu, Man Huang

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FedRSC: A Federated Learning Analysis for Multi-Label Road Surface Classifications by Ioannis V. Vondikakis, Ilias E. Panagiotopoulos, George J. Dimitrakopoulos

Subjects: “…Machine learning…”
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Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation by Darwin Li

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Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury by Tianyun Gao, Zhiqiang Nong, Yuzhen Luo, Manqiu Mo, Zhaoyan Chen, Zhenhua Yang, Ling Pan

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POI Data Fusion Method Based on Multi-Feature Matching and Optimization by Yue Wang, Cailin Li, Hongjun Zhang, Baoyun Guo, Xianlong Wei, Zhao Hai

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Atom-Driven and Knowledge-Based Hydrolysis Metabolite Assessment for Environmental Organic Chemicals by Zhe Liu, Yufan Lin, Qi He, Lingjie Dai, Qinyan Tan, Binyan Jin, Philip W. Lee, Xiaoming Zhang, Li Zhang

Subjects: “…machine learning…”
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Improvement of Citrus Yield Prediction Using UAV Multispectral Images and the CPSO Algorithm by Wenhao Xu, Xiaogang Liu, Jianhua Dong, Jiaqiao Tan, Xulei Wang, Xinle Wang, Lifeng Wu

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Two-centers machine learning analysis for predicting acid-fast bacilli results in tuberculosis sputum tests by Jichong Zhu, Yong Zhao, Chengqian Huang, Chenxing Zhou, Shaofeng Wu, Tianyou Chen, Xinli Zhan

Subjects: “…Machine learning…”
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Barlow Twins deep neural network for advanced 1D drug–target interaction prediction by Maximilian G. Schuh, Davide Boldini, Annkathrin I. Bohne, Stephan A. Sieber

Subjects: “…Machine learning…”
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An interpretable machine learning tool for in-home monitoring of agitation episodes in people living with dementia: a proof-of-concept studyResearch in context by Marirena Bafaloukou, Ann-Kathrin Schalkamp, Nan Fletcher-Lloyd, Alex Capstick, Chloe Walsh, Cynthia Sandor, Samaneh Kouchaki, Ramin Nilforooshan, Payam Barnaghi

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Structural Analysis of Amylin and Amyloid β Peptide Signaling in Alzheimer’s Disease by Longsheng Xie, Christopher Lockhart, Steven R. Bowers, Dmitri K. Klimov, Mohsin Saleet Jafri

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A novel regional forecastable multiscalar standardized drought index (RFMSDI) for regional drought monitoring and assessment by Aamina Batool, Veysi Kartal, Zulfiqar Ali, Miklas Scholz, Farman Ali

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