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ORCIDMarco A. Formoso
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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, S. H. Wang, Wei Wang, Y. D. Zhang, Hengde Zhu, Z. 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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