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A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia., , , , , and . HAIS, volume 12344 of Lecture Notes in Computer Science, page 620-630. Springer, (2020)Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing., , , , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 13-22. Springer, (2022)Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality., , , , and . CoRR, (2023)Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis., , , , , , and . BIOMESIP, volume 12940 of Lecture Notes in Computer Science, page 97-106. Springer, (2021)Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends., , , , , , , , , and 68 other author(s). Inf. Fusion, (December 2023)Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning., , , , , , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 95-103. Springer, (2022)Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia., , , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 53-62. Springer, (2022)Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis., , , , and . Sensors, 21 (21): 7061 (2021)Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks., , , , and . HAIS, volume 12344 of Lecture Notes in Computer Science, page 655-664. Springer, (2020)EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia., , , , and . Int. J. Neural Syst., 33 (4): 2350020:1-2350020:18 (April 2023)