3 papers
cs.LG2026
Cross-Model Consistency of Feature Importance in Electrospinning: Separating Robust from Model-Dependent Features
Mehrab Mahdian, Ferenc Ender, Tamas Pardy
Electrospinning is a highly sensitive fabrication process in which small variations in operating parameters can significantly influence fiber morphology and material performance. M…
cs.DB2026
Electrospinning-Data.org: A FAIR, Structured Knowledge Resource for Nanofiber Fabrication
Mehrab Mahdian, Ferenc Ender, Tamas Pardy
Electrospinning is a versatile nanofabrication technique whose outcomes emerge from a complex, high-dimensional interplay between solution properties, processing parameters, and en…
cs.LG2026
Machine Learning-Based Pre-Test Risk Stratification for PCR-Confirmed Chlamydia Using Patient-Reported Data and Urine Biomarkers
Mehrab Mahdian, Marko Lehes, Katrin Krolov +1
Early identification of individuals at elevated risk of Chlamydia trachomatis infection may enable optimal use of molecular testing in resource-aware screening. We evaluate the fea…