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Open access 2026

A Novel Entropy-Based Framework for Hybrid Sampling in Imbalanced Learning

Findings indicate that entropy-based hybrid sampling is a promising approach for structured tabular imbalanced classification, while further validation on high-dimensional text and image datasets remains necessary to establish broader generalizability.

Ren-Jieh Kuo, Muhammad Rizki, F. E. Zulvia et al. · 0 citations
Open access 2026

GASTM: A Graph-Adapted Semantic Topic Model With Instance-Aware Dual-View Fusion

A Graph-Adapted Semantic Topic Model with Instance-Aware Dual-View Fusion with fusion-type ablation yields counterintuitive findings that support the effectiveness of the adaptive gate strategy over static alternatives.

R. Kuo, Thi-Thuy-Quynh Trinh · 0 citations

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