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Author

Taimoor Ahmad

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#artificial intelligence Preprint Sep 2026

Calibration-First Cross-Cohort Multimodal Temporal Learning for Transferable Asthma-Risk Forecasting

CALIBRA is evaluated on a documented three-cohort semi-synthetic benchmark with controlled distribution shift, informative missingness, and sealed target patients to verify the method and reproducible pipeline under controlled shift, but do not establish clinical effectiveness.

Taimoor Ahmad · 0 citations
Preprint Sep 2026

Differentially Private and Fairness-Audited Score Diffusion for Irregular Longitudinal Health Records

Sharing irregular longitudinal health records can accelerate model development, yet synthetic releases may leak participation, distort temporal dependence, suppress rare events, or reduce utility for underrepresented groups. We present TRUST LONGSYNTH, an auditable patient level private generator that combines bounded...

Taimoor Ahmad · 0 citations
#machine learning Preprint Sep 2026

Time-Series Foundation Models That Understand Data Revisions

Historical observations are not always fixed: statistical agencies revise previously published values as new evidence arrives. Forecasting from a contemporary download can therefore expose a model to information unavailable at the date it purportedly made a prediction. We propose VINTAGE-TS, a revision-aware adaptation...

Taimoor Ahmad · 0 citations

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