Apr 1, 2024 · We propose a novel approach called learnable three-line hybrid feature fusion (LTHFFA), which incorporates the principle of three-line hybrid breeding into ...
In the learnable three-line hybrid feature fusion algorithm, we first used BAVSSA, kernel principal component analysis (KPCA), and locally linear embedding (LLE) ...
A Software Defect Prediction Method Based on Learnable Three-Line ...
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Sep 1, 2023 · By integrating the three feature sets based on the principle of three-line hybrid breeding, we derive learnable three-line hybrid fusion ...
Apr 17, 2024 · Highlights •For the first time, we apply the principle of three-line hybrid rice breeding to the field of feature fusion.
Software Defect Prediction using Hybrid Approach · Deep learning CNN-APSO-LSSVM hybrid fusion model for feature optimization and gas-bearing prediction · A ...
A software defect prediction method based on learnable three-line hybrid feature fusion. https://doi.org/10.1016/j.eswa.2023.122409 ·.
Jul 1, 2024 · We propose a novel defect prediction model that integrates traditional and semantic features using a hybrid deep learning approach to address this limitation.
Missing: learnable | Show results with:learnable
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What is software defect prediction?
Mar 25, 2023 · This paper proposes a software defect prediction method based on the program semantics feature mining (PSFM) method.
Jan 1, 2023 · In this paper, we first compare our approach with seven baseline methods and three state-of-the-art methods. Then, we analyze the relationship ...
Missing: learnable | Show results with:learnable
Jul 20, 2023 · In this paper, we first compare our approach with seven baseline methods and three state-of-the-art methods. Then, we analyze the relationship ...