5 papers
A Decision-Support Audit Protocol for Supervision Drift in Proxy-Labeled Credit-Risk Prediction
Mehrdad Shoeibi, Muhammad Shabanpour, Waldemar Karwowski +1
Credit-risk models are trained on proxy labels and deployed under temporal and segment change, yet no single transfer metric separates base-rate shift, probability-scale shift, and…
Can We Trust In-Distribution Success? Locked Evaluation Reveals Transfer Failure and Sampling-Depth Entanglement in CRISPRi Perturbation Prediction
Mehrdad Shoeibi, Niloofar Yousefi
AI evaluation can support the wrong inference when an in-domain benchmark success does not survive distribution shift, or when the benchmark endpoint is entangled with a design fac…
Pre-Registered External Evaluation Yields a Consistent Partial-Replication Category across Three Transcriptomic Foundation Models
Mehrdad Shoeibi, Niloofar Yousefi
Transcriptomic foundation models are increasingly used as reusable cell and gene representations, but validating them on new data under weak supervision and distribution shift is h…
Learning Stable Predictors from Weak Supervision under Distribution Shift
Mehrdad Shoeibi, Elias Hossain, Ivan Garibay +1
Learning from weak, proxy, or relative supervision is common when ground-truth labels are unavailable, but robustness under distribution shift remains poorly understood because the…
BIOGEN: Evidence-Grounded Multi-Agent Reasoning Framework for Transcriptomic Interpretation in Antimicrobial Resistance
Elias Hossain, Mehrdad Shoeibi, Ivan Garibay +1
Interpreting gene clusters from RNA sequencing (RNA-seq) remains challenging, especially in antimicrobial resistance studies where mechanistic insight is important for hypothesis g…