2 papers
stat.AP2026
Compartment-driven Gaussian processes for uncertainty quantification of pharmacokinetic exposures
Sanjay Palta-Hill, Barbara Engelhardt, Edric Tam
Pharmacokinetic modeling is a crucial part of drug development. An important goal is to estimate patients' total and peak exposure to a drug over time, quantified by the area under…
cs.SE2025
UntrustVul: An Automated Approach for Identifying Untrustworthy Alerts in Vulnerability Detection Models
Lam Nguyen Tung, Xiaoning Du, Neelofar Neelofar +1
Machine learning (ML) has shown promise in vulnerability detection, but ML detectors may rely on irrelevant code features, causing them to highlight non-vulnerable lines as suspici…