3 papers
cs.LG2026
CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings
Mohammad Al Olaimat, Shaika Chowdhury, Serdar Bozdag
Electronic Health Records (EHRs) contain rich, longitudinal patient information across structured (e.g., labs, vitals, and imaging) and unstructured (e.g., clinical notes) modaliti…
cs.LG2025
DyGSSM: Multi-view Dynamic Graph Embeddings with State Space Model Gradient Update
Bizhan Alipour Pijan, Serdar Bozdag
Most of the dynamic graph representation learning methods involve dividing a dynamic graph into discrete snapshots to capture the evolving behavior of nodes over time. Existing met…
cs.LG2025
Longitudinal Ensemble Integration for sequential classification with multimodal data
Aviad Susman, Rupak Krishnamurthy, Yan Chak Li +5
Effectively modeling multimodal longitudinal data is a pressing need in various application areas, especially biomedicine. Despite this, few approaches exist in the literature for…