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.· PeerJ Computer Science· 0 citations
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· Artificial Intelligence Revi...· 3 citations
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