Marco A. Formoso

Orcid: 0000-0001-8969-1941

According to our database1, Marco A. Formoso authored at least 14 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Inf. Fusion, December, 2023

EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia.
Int. J. Neural Syst., April, 2023

Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality.
CoRR, 2023

2022
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis.
Knowl. Based Syst., 2022

Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

2021
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis.
Sensors, 2021

Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms.
Sensors, 2021

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis.
CoRR, 2021

Temporal EigenPAC for Dyslexia Diagnosis.
Proceedings of the Advances in Computational Intelligence, 2021

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2020
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020


  Loading...