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Siamese Dense Neural Network for Software Defect ...
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由 L Zhao 著作2018被引用 55 次 — It mainly includes two phases: model building and training. To be more specific, it means building the novel SDNN for capturing the highest- ...
(PDF) Siamese Dense Neural Network for Software Defect ...
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2024年12月9日 — It mainly includes two phases: model building and training. To be more specific, it means building the novel SDNN for capturing the highest- ...
The flowchart of the proposed SDNN for SDP.
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The Stacked LSTM model architecture is designed to capture complex patterns within the data, enhancing the effectiveness of software defect prediction by ...
Software defect prediction via cost-sensitive Siamese parallel ...
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Software defect prediction (SDP) has caused widespread concern among software engineering researchers, which aims to erect a software defect predictor ...
深度信念网软件缺陷预测模型 (Deep Belief Network Software ...
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Siamese Dense Neural Network for Software Defect Prediction With Small Data ... prediction via cost-sensitive Siamese parallel fully-connected neural networks.
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Siamese Neural Networks: An Overview
Springer Nature Experiments
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A siamese neural network may be the best choice: it consists of two identical artificial neural networks each capable of learning the hidden representation of ...
Siamese Dense Neural Network for Software Defect Prediction ...
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Siamese Dense Neural Network for Software Defect Prediction with Small Data · IEEE Access 7: 7663-7677 · 2019 · Related References · Quick Search · Full Text Article ...
On the use of deep learning in software defect prediction
ScienceDirect.com
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由 G Giray 著作2023被引用 107 次 — Siamese Neural Networks (SNNs) are NNs that contain two or more subnetworks whose configurations, parameters, and weights are the same. Moreover, parameters ...
An Optimized Deep Learning Method for Software Defect ...
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由 AA Aihong 著作2023被引用 1 次 — In this research, we propose an innovative approach to enhance software defect prediction using an optimized deep learning method. We leverage the whale ...
Software failure time series prediction with RBF, GRNN ...
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由 V Yakovyna 著作2022被引用 15 次 — This paper aims to study and compare the effectiveness of software failure prediction using different types of neural networks.
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