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Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction.
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- Journal of Big Data, 2024, v. 11, n. 1, p. 1, doi. 10.1186/s40537-024-00886-w
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- Article
CNN Based on Transfer Learning Models Using Data Augmentation and Transformation for Detection of Concrete Crack.
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- Algorithms, 2022, v. 15, n. 8, p. N.PAG, doi. 10.3390/a15080287
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- Article
Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder.
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- Algorithms, 2022, v. 15, n. 5, p. 166, doi. 10.3390/a15050166
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- Article
A robust and clinically applicable deep learning model for early detection of Alzheimer's.
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- IET Image Processing (Wiley-Blackwell), 2023, v. 17, n. 14, p. 3959, doi. 10.1049/ipr2.12910
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- Article