TRACE, a topology-aware, prediction-adaptive objective that uses a target skeleton to define required local connections, and introduces a topology-aware skeleton carrier that preserves both foreground and class-specific topology, enabling reliable definition of these connections.
Jun-Ho Moon, I. Jang
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Multimodal Alzheimer's disease (AD) diagnosis benefits from integrating heterogeneous clinical, imaging, genomic, and biomarker evidence, but clinical cohorts frequently suffer from irregular modality missingness. Existing fusion methods often synthesize absent inputs, risking the introduction of artificial surrogates,...
Chi-Hun An, I. Jang
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Task-fMRI connectomes reveal state-dependent neural reconfigurations, yet conventional methods marginalize these signals by aggregating distinct conditions into static pairwise graphs, thereby obscuring condition-specific multi-ROI organization. We introduce CoHyFuse, a condition-aware ROI-centered hypergraph framework...
Boseong Kim, Haejun Chung, I. Jang
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CORD is proposed, the first post-fit adapter to impose exact prediction preservation by repairing the full calibrated probability vector by removing the preservation constraint from calibrator fitting and assigns exact recovery of the original decision to subsequent output repair.
Daehwan Kim, Haejun Chung, I. Jang
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