#explainable ai
Sep 2026
U-NetL2O: An explainable model for low-dose CT image reconstruction
Son Pham, Ngoc-Thao Nguyen, Bac Le
· Applied intelligence (Boston... · 0 citations
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Counterfactual Reasoning for Robust Visual Question Answering
A novel training framework that enhances counterfactual contrastive learning for VQA and introduces a three-stage curriculum for stable multi-objective optimization, an enhanced Batch-Contrastive loss for more discriminative feature learning and two novel regularizers.
Truong-Binh Duong, T. Tran, Ngoc-Thao Nguyen et al.
· 0 citations
Sep 2026
Learning curvature-aware multimodal representations with bicomplex embeddings
Thanh Le, Vy Cao, Duong-Khang Au et al.
· Data mining and knowledge di... · 0 citations