249 citations · 444 across the 4 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Meta-Imputation Balanced (MIB): An Ensemble Approach for Handling Missing Data in Biomedical Machine Learning
Fatemeh Azad, Zoran Bosnić, Matjaž Kukar
Missing data represents a fundamental challenge in machine learning applications, often reducing model performance and reliability. This problem is particularly acute in fields lik…
cs.LG2023★ 13 cited
Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values
Gregor Gunčar, Matjaž Kukar, Tim Smole +9
The growing threat of antibiotic resistance necessitates accurate differentiation between bacterial and viral infections for proper antibiotic administration. In this study, a Viru…