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[1]
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Pediatric diabetes prediction using machine learning
Scientific Reports,
2026
DOI:10.1038/s41598-025-24964-y
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[2]
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IntelliNet: intelligent deep net architecture for efficient cardiovascular disease prediction
Multimedia Tools and Applications,
2025
DOI:10.1007/s11042-025-20767-5
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[3]
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Handling missing data of using the XGBoost-based multiple imputation by chained equations regression method
Frontiers in Artificial Intelligence,
2025
DOI:10.3389/frai.2025.1553220
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[4]
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Pursuing weak paths: a performance evaluation of multiple imputation in PLS
Quality & Quantity,
2025
DOI:10.1007/s11135-024-02004-7
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[5]
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CRES-SMVI: Credit Risk Expert System Based on Selective Missing Value Imputation Using Machine Learning Analytics
2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS),
2025
DOI:10.1109/IACIS65746.2025.11211375
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[6]
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Explainable Artificial Intelligence for Workplace Mental Health Prediction
Informatics,
2025
DOI:10.3390/informatics12040130
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[7]
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Mitigating data incompleteness in additive manufacturing using imputation techniques
Machine Learning: Engineering,
2025
DOI:10.1088/3049-4761/ae2c02
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[8]
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De-occlusion and recognition of frontal face images: a comparative study of multiple imputation methods
Journal of Big Data,
2024
DOI:10.1186/s40537-024-00925-6
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[9]
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Emerging Technologies for Developing Countries
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
2024
DOI:10.1007/978-3-031-63999-9_6
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[10]
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Increasing landscape heterogeneity as a win–win solution to manage trade-offs in biological control of crop and woodland pests
Scientific Reports,
2023
DOI:10.1038/s41598-023-40473-2
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[11]
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Machine Learning and Multiple Imputation Approach to Predict Chlorophyll-a Concentration in the Coastal Zone of Korea
Water,
2022
DOI:10.3390/w14121862
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[12]
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Imputing missing values for Dataset of Used Cars
2022 2nd Asian Conference on Innovation in Technology (ASIANCON),
2022
DOI:10.1109/ASIANCON55314.2022.9908600
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