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2020 – today
- 2024
[c11]Nicolás Gallego-Molina, Andrés Ortiz, Marco A. Formoso, Francisco Jesús Martínez-Murcia, Wai Lok Woo
:
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration. IWINAC 2024: 24-33- [c10]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque:
Causal Mechanisms of Dyslexia via Connectogram Modeling of Phase Synchrony. IWINAC 2024: 34-44 - [c9]Marco A. Formoso, Nicolás Gallego-Molina, Andrés Ortiz, Ignacio Rodríguez-Rodríguez, Almudena Giménez:
Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia. IWINAC 2024: 45-54 - [c8]Nicolás Gallego-Molina, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Diego Castillo-Barnes, Andrés Ortiz, Javier Ramírez, J. M. Górriz, Pedro Javier Lopez-Perez, Juan Luis Luque:
A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia. IWINAC 2024: 161-170 - 2023
- [j5]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo:
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia. Int. J. Neural Syst. 33(4): 2350020:1-2350020:18 (2023) - [j4]J. M. Górriz, I. Álvarez Illán, Agustín Álvarez Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, V. Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, J. M. Ferrández-Vicente:
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Inf. Fusion 100: 101945 (2023) - [i4]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo:
Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality. CoRR abs/2301.00552 (2023) - 2022
- [j3]Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Almudena Giménez:
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis. Knowl. Based Syst. 240: 108098 (2022) - [c7]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Juan José Escobar, Juan Luis Luque:
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing. IWINAC (1) 2022: 13-22 - [c6]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque:
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia. IWINAC (1) 2022: 53-62 - [c5]Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. IWINAC (1) 2022: 95-103 - 2021
- [j2]Diego A. Aquino Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar:
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors 21(6): 2096 (2021) - [j1]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque:
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis. Sensors 21(21): 7061 (2021) - [c4]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque, Juan José Escobar, Francisco G. Montoya:
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. BIOMESIP 2021: 97-106 - [c3]Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque:
Temporal EigenPAC for Dyslexia Diagnosis. IWANN (2) 2021: 45-56 - [i3]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque:
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. CoRR abs/2104.05497 (2021) - [i2]Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque:
Temporal EigenPAC for dyslexia diagnosis. CoRR abs/2104.05991 (2021) - 2020
- [c2]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Marco A. Formoso, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez:
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. HAIS 2020: 620-630 - [c1]Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez:
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks. HAIS 2020: 655-664 - [i1]Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez:
Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks. CoRR abs/2010.13731 (2020)
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