Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks

von Ortiz, Andrés
Veröffentlicht in HAIS (15. : 2020 : Online) Hybrid artificial intelligent systems (2020)

Temporal EigenPAC for Dyslexia Diagnosis

von Gallego-Molina, Nicolás J.
Veröffentlicht in IWANN (16. : 2021 : Online) Advances in computational intelligence ; Part 2 (2021)

Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia

von Rodríguez-Rodríguez, Ignacio
Veröffentlicht in IWINAC (9. : 2022 : Puerto de la Cruz) 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, proceedings ; Part 1: Artificial intelligence in neuroscience (2022)

A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia

von Martinez-Murcia, Francisco J.
Veröffentlicht in HAIS (15. : 2020 : Online) Hybrid artificial intelligent systems (2020)

Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing

von Formoso, Marco A.
Veröffentlicht in IWINAC (9. : 2022 : Puerto de la Cruz) 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, proceedings ; Part 1: Artificial intelligence in neuroscience (2022)

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis

von Formoso, Marco A.
Veröffentlicht in International Conference on Bioengineering, Biomedical Signal, and Image Processing (1. : 2021 : Gran Canaria, Online) Bioengineering and Biomedical Signal and Image Processing (2021)

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning

von Ortiz, A.
Veröffentlicht in IWINAC (9. : 2022 : Puerto de la Cruz) 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 – June 3, 2022, proceedings ; Part 1: Artificial intelligence in neuroscience (2022)