3 papers
cs.LG2026
Beyond a Universal Forecasting Selector: Demand-Conditioned Model Selection across Demand Patterns and Horizons
Adolfo González
Forecasting-model selection remains difficult in heterogeneous demand because the most suitable decision rule may vary with demand structure, data availability, and forecasting hor…
cs.LG2026
Adaptive Automatic Model Selection for Demand Forecasting under Heterogeneous Demand Patterns
Adolfo González, Víctor Parada
Demand forecasting is critical for inventory planning, procurement, replenishment, production, and capacity decisions in heterogeneous supply chains. However, selecting the most ap…
cs.LG2025
Hierarchical Evaluation Function: A Multi-Metric Approach for Optimizing Demand Forecasting Models
Adolfo González, Víctor Parada
Demand forecasting in competitive, uncertain business environments requires models that can integrate multiple evaluation perspectives rather than being restricted to hyperparamete…