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An improved Dragonfly Algorithm for feature selection
Published 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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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022Subjects: “…Feature selection…”
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024Subjects: -
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Nested ensemble selection: An effective hybrid feature selection method
Published 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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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020Subjects: -
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024Subjects: Get full text
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Bootstrap-based Aggregations and their Stability in Feature Selection
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Intelligent Hybrid Feature Selection for Textual Sentiment Classification
Published 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
Published 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
Published 2024“…The proposal employs a wrapper feature selection mechanism to select the subset of features that improves the classification. …”
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An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
Published 2023“…This paper proposes binary versions of artificial rabbits optimization (ARO) for feature selection (FS) with medical diagnosis data. …”
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 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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Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
Published 2024“…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …”
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Binary B-Hill Climbing Optimizer with S-shape Transfer Function for Feature Selection
Published 2020“…This dimensional reduction is a vital task to increase classification accuracy and thus reduce the processing time. An optimization algorithm can be applied to tackle the feature selection problem. …”
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