Paulius Danėnas

Development of a High-Sensitivity Graphene-Metal Nanocomposite Metasurfaces Biosensor with Machine Learning Integration for Rapid Detection of Waterborne Pathogens with Behaviour Prediction Leveraging Stacking Ensemble Regressor

An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete

Selection of Support Vector Machines based classifiers for credit risk domain

Credit Risk Evaluation Model Development Using Support Vector Based Classifiers