Erçin Dinçer

Explainability-Guided Transformer Models for Hourly Cryptocurrency Forecasting: A Comparative Study with SHAP-Based Feature Refinement

Accurate cryptocurrency price forecasting represents an important yet challenging problem in financial time-series analysis due to the highly volatile, nonlinear, and noise-sensitive nature of digital asset markets. Although transformer-based architectures have recently demonstrated strong capabilities in temporal sequ...