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    Combined Feature Selection Scheme for Banking Modeling by S. V. Afanasyev, D. M. Kotereva, A. A. Mironenkov, A. A. Smirnova

    Published 2023-03-01
    “…Methods of feature selection, which allows to improve the quality of models, are apply to solve this problem. …”
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    Article
  6. 266

    Self-Supervised Feature Disentanglement for Deepfake Detection by Bo Yan, Pan Liu, Yumin Yang, Yanming Guo

    Published 2025-06-01
    “…Orthogonal constraints on features are enforced to mitigate the overfitting problem in traditional methods. …”
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    Article
  7. 267

    Stability of feature selection algorithm: A review by Utkarsh Mahadeo Khaire, R. Dhanalakshmi

    Published 2022-04-01
    “…Feature selection technique is a knowledge discovery tool which provides an understanding of the problem through the analysis of the most relevant features. …”
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    Article
  8. 268

    LIM: Lightweight Image Local Feature Matching by Shanquan Ying, Jianfeng Zhao, Guannan Li, Junjie Dai

    Published 2025-05-01
    “…Image matching is a fundamental problem in computer vision, serving as a core component in tasks such as visual localization, structure from motion, and SLAM. …”
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    Article
  9. 269

    Melody Feature Clustering and Optimization for Query-by-humming by WANG Ning, CHEN Chen, CHEN De-yun, HE Yong-jun

    Published 2022-02-01
    “…Query-by-humming is an important branch of audio retrieval, and it can provide users with a new and convenient experience.During the retrieval process, since there are unignorable differences between different humming of the same song, it is difficult to obtain ideal results by accurate matching of the melody features.To solve this problem, the optimized initial clustering center k-means (OICC k-means) is introduced in the query-by-humming system. …”
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    Article
  10. 270

    Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

    Published 2024-11-01
    “…Abstract Out-of-distribution (OOD) detection is a crucial problem in practice, especially, for the safe deployment of machine learning models in industrial settings. …”
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    Article
  11. 271

    Feature-Based Normality Models for Anomaly Detection by Hui Yie Teh, Kevin I-Kai Wang, Andreas W. Kempa-Liehr

    Published 2025-08-01
    “…Our framework learns sensor-specific normality models from a small set of anomaly-free training data while employing an unsupervised feature engineering approach to select statistically significant features. …”
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    FEATURES OF CONSOLIDATED FINANCIAL STATEMENTS: FOREIGN EXPERIENCE by S. V. KUCHER

    Published 2016-12-01
    “…The main problems of consolidated financial statements preparation by business entities in Ukraine are determined. …”
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    Article
  14. 274

    From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

    Published 2025-12-01
    “…Compared to comparable systems without feature selection, feature resampling, and optimization methods, the results demonstrate that employing optimized XGBoost along with grid search in conjunction with SelectKBest and SMOTE strategy has resulted in greater performance, with an 89% R2 score. …”
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    Article
  15. 275

    Features of Tariff Management in the Context of the Green Economy by Prokhorova Viktoriia V., Us Yuliia V., Yukhman Yaryna V.

    Published 2024-06-01
    “…It is determined that due to the imperfect, but effective at the moment model of the green tariff, the number and capacity of renewable generation in Ukraine has been steadily growing over the past 10 years. A number of problems that exist today in tariff setting in the context of the green economy from the point of view of its management in Ukraine have been identified and specific features of tariff setting in the context of the green economy have been formulated. …”
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    Article
  16. 276

    THE FEATURES OF AIRCRAFT FUNCTIONAL SYSTEMS PERFORMANCE MONITORING by S. A. Krotov

    Published 2017-03-01
    “…Conditions for specific risk monitoring are also presented.The notion of fail-safe feature of aircraft functional systems is analysed, and the necessity of continuous process of safety flight level estimate is shown. …”
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    THE CONCEPT AND FEATURES OF WORKS OF SCIENCE AND LITERARY CREATIVITY by GNEZDILOVA YU.V.

    Published 2024-01-01
    “…In the work, distinctive features were identified and analyzed, which make it possible to differentiate works by types. …”
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    Article
  19. 279

    Hybrid models of higher education: Features and advantages by Elena Y. Kuznetsova, Olga V. Korableva

    Published 2025-02-01
    “…The purpose of the article is to analyze the features, problems and advantages of using hybrid learning models in higher education. …”
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