Machine Learning Approaches to Advanced Outlier Detection in Psychological Datasets
The core aim of this study is to determine the most effective outlier detection methodologies for multivariate psychological datasets, particularly those derived from Omani students. Due to their complex nature, such datasets demand robust analytical methods. To this end, we employed three sophistic...
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J.J. Strossmayer University of Osijek , Faculty of Electrical Engineering, Computer Science and Information Technology
2025
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