Charalampos Konstantinou

A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data

This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrologica...