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An improved Dragonfly Algorithm for feature selection
منشور في 2020"…In this paper, a novel BDA is proposed. The algorithm uses different strategies to update the values of its five main coefficients to tackle Feature Selection (FS) problems. …"
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020الموضوعات: -
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Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022الموضوعات: "…Feature selection…"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024الموضوعات: -
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024الموضوعات: احصل على النص الكامل
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Nested ensemble selection: An effective hybrid feature selection method
منشور في 2023"…It has been shown that while feature selection algorithms are able to distinguish between relevant and irrelevant features, they fail to differentiate between relevant and redundant and correlated features. …"
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Bootstrap-based Aggregations and their Stability in Feature Selection
منشور في 2022احصل على النص الكامل
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification
منشور في 2021"…Effective feature extraction and selection are significant for the SA because they can boost the learning algorithm’s predictive performance while reducing the high-dimensional feature space. …"
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Wrapper-Based Feature Selection to Classify Flatfoot Disease
منشور في 2024"…The proposal employs a wrapper feature selection mechanism to select the subset of features that improves the classification. …"
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Wrapper-Based Feature Selection to Classify Flatfoot Disease
منشور في 2024"…The proposal employs a wrapper feature selection mechanism to select the subset of features that improves the classification. …"
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Deepfakes Signatures Detection in the Handcrafted Features Space
منشور في 2023"…We, therefore, Propose in this paper, a handcrafted feature based Writer-Independent (WI) signature verification system to detect synthetic writers and signatures through handcrafted features. …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …"
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Computer-aided detection of Melanoma using geometric features
منشور في 2017"…The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. …"
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An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
منشور في 2023"…This paper proposes binary versions of artificial rabbits optimization (ARO) for feature selection (FS) with medical diagnosis data. …"
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