A Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection by Saeid Sheikhi, Mohammad Taghi Kheirabadi, Amin Bazzazi

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Development of a Student Depression Prediction Model Based on Machine Learning with Algorithm Performance Evaluation by Penni Wintasari Simarmata, Putri Taqwa Prasetyaningrum

Subjects: “…classification algorithm, depression prediction, machine learning, model development, model evaluation…”
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Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions by Leonardo Buscarini, Paola Romano, Elena Sofia Cocco, Carlo Damiani, Sanaz Pournajaf, Marco Franceschini, Francesco Infarinato

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CLASSYFYING STUDENTS DECISION MAKING ABILITY USING K-NEAREST NEIGHBOR FOR DETERMINING STUDENTS SUPPLEMENTARY LEARNING by Giyanti Giyanti, Rina Oktaviyanthi, Usep Sholahudin

Subjects: “…classification algorithm…”
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Comparative Analysis of Force-Sensitive Resistors and Triaxial Accelerometers for Sitting Posture Classification by Zhuofu Liu, Zihao Shu, Vincenzo Cascioli, Peter W. McCarthy

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Enhancing Heart Attack Prediction: Feature Identification from Multiparametric Cardiac Data Using Explainable AI by Muhammad Waqar, Muhammad Bilal Shahnawaz, Sajid Saleem, Hassan Dawood, Usman Muhammad, Hussain Dawood

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Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning by Jiayuan Xu, Andrew J. Doig, Sofia Michopoulou, Sofia Michopoulou, Petroula Proitsi, Petroula Proitsi, Fumie Costen, The Alzheimer's disease neuroimaging initiative

Subjects: “…machine learning classification algorithm…”
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A new classification of atlas fracture based on computed tomography: reliability, reproducibility, and preliminary clinical significance by Yun-lin Chen, Wei-yu Jiang, Wen-jie Lu, Xu-dong Hu, Yang Wang, Wei-hu Ma

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Analysis of Possibilities to Automate Detection of Unscrupulous Microfinance Organizations based on Machine learning Methods by Yu. M. Beketnova

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Incorporating environmental data to refine the classification and understanding of the mechanisms behind encroachment of a woody species in the Southern Great Plains (USA) by Justin Dawsey, Nancy E. McIntyre

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Rapid Colorectal Tissue Classification Using Data-Driven Raman Techniques by Jakub Tomes, Daniela Janstova, Shayestegan Mohsen, Alla Sinica, Zuzana Kovacova, Jaromir Petrtyl, Jan Mares

Subjects: “…Classification algorithms…”
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Machine Learning with Administrative Data for Energy Poverty Identification in the UK by Lin Zheng, Eoghan McKenna

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Calibrating multiplex serology for Helicobacter pylori by Emmanuelle A. Dankwa, Martyn Plummer, Daniel Chapman, Rima Jeske, Julia Butt, Michael Hill, Tim Waterboer, Iona Y. Millwood, Ling Yang, Christiana Kartsonaki

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Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency by Leszek Sliwko

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Volcanic Activity Classification Through Semi-Supervised Learning Applied to Satellite Radiance Time Series by Francesco Spina, Giuseppe Bilotta, Annalisa Cappello, Marco Spina, Francesco Zuccarello, Gaetana Ganci

Subjects: “…classification algorithms…”
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Efficient Fault Diagnosis of Elevator Cabin Door Drives Using Machine Learning with Data Reduction for Reliable Transmission by Jakub Gęca, Dariusz Czerwiński, Bartosz Drzymała, Krzysztof Kolano

Subjects: “…classification algorithms…”
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Prevention of student attrition: a data-backed approach to school counselling using Delphi technique and multiple classification algorithms by Amiru Bakariwie, Dominic Asamoah, Abudu Ballu Duwiejuah

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Comparative Study of SVM, KNN, and Naïve Bayes for Sentiment Analysis of Religious Application Reviews by Heti Aprilianti, Khothibul Umam, Maya Rini Handayani

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Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

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Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

Subjects: “…crime prediction; machine learning; decision tree; J48; artificial intelligence; Classification Algorithms.…”
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