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    Effective Evolutionary Multilabel Feature Selection under a Budget Constraint by Jaesung Lee, Wangduk Seo, Dae-Won Kim

    Published 2018-01-01
    “…Multilabel feature selection involves the selection of relevant features from multilabeled datasets, resulting in improved multilabel learning accuracy. …”
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    Article
  4. 124

    Improving Attack Detection in IoV with Class Balancing and Feature Selection by Thierry Widyatama, Ifan Rizqa, Fauzi Adi Rafrastara

    Published 2025-03-01
    “…This study investigates the enhancement of detection efficiency for DoS and spoofing attacks in IoV by employing Ensemble Learning methods combined with feature selection techniques. The selected feature selection methods include Information Gain Ratio, Chi-Square (X²), and Fast Correlation-Based Filter (FCBF). …”
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  5. 125
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    On the Feature Selection and Classification Based on Information Gain for Document Sentiment Analysis by Asriyanti Indah Pratiwi, Adiwijaya

    Published 2018-01-01
    “…Finding the optimum feature selection and classification is still a challenge. …”
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    Article
  7. 127

    Improved Feature-Selection Method Considering the Imbalance Problem in Text Categorization by Jieming Yang, Zhaoyang Qu, Zhiying Liu

    Published 2014-01-01
    “…The filtering feature-selection algorithm is a kind of important approach to dimensionality reduction in the field of the text categorization. …”
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    Article
  8. 128

    A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

    Published 2007-01-01
    “…We name the proposed method as feature-selective ICA since it incorporates the features in the sample space of the independent components during ICA estimation. …”
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    A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

    Published 2025-01-01
    “…In addition, we have evaluated two distinct atlas selection methods: the Feature-based Atlas Selection Approach (MAS-FASA) and the Similarity-based Atlas Selection Approach (MAS-SIM). …”
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    Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO by zahraa mehssen agheeb Alhamdawee

    Published 2025-06-01
    “…Four observed classifier algorithms have been applied: k-Nearest Neighbor (kNN), Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT). Two feature selection mechanisms, which are Particle Swarm Optimization Algorithm (PSO) and Correlation-based Feature Selection Recursive Feature Elimination (RFE) have been used to compare their performances. …”
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    Parallel Cross-section Recognition of Geometrical Features for Selected Machine Parts by Marcin Gołaszewski, Marcin Królikowski, Bartosz Powałka

    Published 2021-08-01
    “…The proposed system is also capable of identification of additional geometric features typical for 2.5 axes milling such as pockets, islands and outer walls. …”
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    Article
  18. 138

    Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System by Pavol Partila, Miroslav Voznak, Jaromir Tovarek

    Published 2015-01-01
    “…The impact of the classification method and features selection for the speech emotion recognition accuracy is discussed in this paper. …”
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