Two-Phases AI Model for a Smart Learning System. - Javier García-Sigüenza; Alberto Real-Fernández; Rafael Molina-Carmona; Faraón Llorens-Largo (HCI (30), 2023)

Few-Shot Learning for Prediction of Electricity Consumption Patterns. - Javier García-Sigüenza; José-Francisco Vicent; Faraón Llorens-Largo; José Vicente Berná-Martínez (IbPRIA, 2023)

Explainability techniques applied to road traffic forecasting using Graph Neural Network models. - Javier García-Sigüenza; Faraón Llorens-Largo; Leandro Tortosa; Jose F. Vicent (Inf. Sci., 2023)

Tools to Support the Design of Network-Structured Courses Assisted by AI. - Juan-Luis López-Javaloyes; Alberto Real-Fernández; Javier García-Sigüenza; Faraón Llorens-Largo; Rafael Molina-Carmona (HCI (39), 2024)

Self explainable graph convolutional recurrent network for spatio-temporal forecasting. - Javier García-Sigüenza; Manuel Curado; Faraón Llorens-Largo; Jose F. Vicent (Mach. Learn., 2025)