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C. Lim

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Open access Aug 2026

A hybrid ensemble-based parallel learning framework for multi-omics data integration and cancer subtype classification

A novel cancer subtype classification framework using multi-omics integration and an ensemble-based parallel DL/ML architecture with multimodal autoencoder used for effective feature learning across omics types, overcoming the limitations of naïve concatenation is presented.

Mohammed Nasser Al-Andoli, Shing-Chiang Tan, Kok Swee Sim et al. · 0 citations
Review Open access Jul 2026

Towards transparent financial AI: a systematic review of graph learning and explainable methods for credit risk and fraud detection

A deployment-oriented reference framework is proposed that links graph construction, graph-based modelling, explainability mechanisms, monitoring, human oversight, and governance controls for developing scalable, transparent, and accountable financial AI systems.

Zahra Shams Khoozani, M. Seera, C. Lim · 3 citations

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