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Novel resampling algorithms with maximal cliques for class-imbalance problems
L Wang, Q Dai, T Du, L Chen - Computers & Industrial Engineering, 2025 - Elsevier
The imbalance issue significantly deteriorates the performance of classifiers. While
researchers proposed resampling methods to address this problem, it often struggles with …
researchers proposed resampling methods to address this problem, it often struggles with …
Efficient anomaly detection for edge clouds: mitigating data and resource constraints
Anomaly detection plays a vital role in ensuring the security and reliability of edge clouds,
which are decentralized computing environments with limited resources. However, the …
which are decentralized computing environments with limited resources. However, the …
[PDF][PDF] Self-MCKD: Enhancing the Effectiveness and Efficiency of Knowledge Transfer in Malware Classification
HJ Jeong, HJ Lee, GN Kim, SH Choi - 2025 - preprints.org
As malware continues to evolve, AI-based malware classification methods have shown
significant promise in improving malware classification performance. However, these …
significant promise in improving malware classification performance. However, these …
[PDF][PDF] Efficient Anomaly Detection for Edge Clouds: Mitigating Data and Resource Constraints
E ELMROTH - 2024 - diva-portal.org
Anomaly detection plays a vital role in ensuring the security and reliability of edge clouds,
which are decentralized computing environments with limited resources. However, the …
which are decentralized computing environments with limited resources. However, the …