- RIUMA Principal
- Listar por autor
Listar por autor "Mateo-Trujillo, J. Ignacio"
Mostrando ítems 1-3 de 3
-
Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform Tailored for Dyslexic Learners
Mateo-Trujillo, J. Ignacio; Castillo-Barnes, Diego; Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés; Peinado-Domínguez, Alberto; Luque-Vilaseca, Juan Luis; Sánchez-Gómez, Auxiliadora[et al.] (2024)Dyslexia poses substantial literacy challenges with profound academic and psychosocial impacts for affected children. Though evidence affirms that early reading interventions can significantly improve outcomes, traditional ... -
Generation of Virtual Children for testing a Recommendation System for Interventions with Children with Dyslexia.
Mateo-Trujillo, J. Ignacio; Rodríguez Rodríguez, Ignacio; Castillo-Barnes, Diego; Ortiz-García, Andrés; Luque-Vilaseca, Juan Luis (2024)The LEEDUCA project has developed a recommendation system to generate intervention sessions tailored to children with dyslexia. Due to the limitations in obtaining real data for preliminary testing, the generation of in ... -
Nonlinear Neural Dynamics of Language Processing: A Recurrence Quantification Analysis of EEG in Dyslexia.
Rodríguez Rodríguez, Ignacio; Mateo-Trujillo, J. Ignacio; Formoso, Marco A.; Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Luque-Vilaseca, Juan Luis[et al.] (2024)This study investigates the application of chaos theory and Recurrence Quantification Analysis (RQA) to EEG signals in skilled and dyslexic readers. By quantifying the nonlinear dynamics of brain activity, we aim to identify ...