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Flood susceptibility mapping in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data
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Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models
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Machine Learning in Active Power Filters: Advantages, Limitations, and Future Directions
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Correlation analysis and recurrence evaluation system for patients with recurrent hepatolithiasis: a multicentre retrospective study
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Predicting Deep Venous Thrombosis Using Artificial Intelligence: A Clinical Data Approach
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Demonstration of accurate ID-VG characteristics modeling in SiC mosfets using separated artificial neural networks with small training dataset
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Explainable Machine Learning for Radio Environment Mapping: An Intelligent System for Electric Field Strength Monitoring
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A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort
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Opinion Mining and Perceptions of Self-Determination in Videoconference Classrooms Using Machine Learning and Multidimensional Sentiment Frameworks
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MLOps Components, Tools, Process, and Metrics: A Systematic Literature Review
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Machine learning based disruption prediction using long short-term memory in KSTAR
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Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study
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BMLFTS: A Novel Approach to Process and Track of Food Quality Data Using Blockchain and Machine Learning
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Predicting Diabetes Risk Using Machine Learning: A Comparative Study on the Yazd Health Study (YaHS)
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Machine learning for classifying affective valence from fMRI: a systematic review and meta-analysis
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Insights on risk score development: Considerations for early-stage hepatocellular carcinoma models
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Boosting any learning algorithm with Statistically Enhanced Learning
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Risk prediction model for waitlist mortality in patients with left ventricular assist devices
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Integrated neural network and AspenPlus model for entrained flow gasification kinetics investigation
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100
MACHINE LEARNING MODELS FOR PERFORMANCE PREDICTION OF YOUNG PLAYERS IN FOOTBALL ACADEMIES – A REVIEW
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