D. Balta

An Explainable Spatio-Temporal Framework for Traffic Forecasting Using Graph-Based Features

This study proposes an explainable spatio-temporal machine learning framework that integrates periodic temporal features with graph-based spatial representations and highlights a critical distinction between feature importance and actual predictive utility, referred to in this study as misleading importance.