Umberto Aguglia

Orcid: 0000-0002-4574-2951

According to our database1, Umberto Aguglia authored at least 11 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Instrumentation for TMS-EEG Experiment: ArTGen and a Custom EEG Interface.
Int. J. Imaging Syst. Technol., July, 2024

2022
A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.
Sensors, 2022

Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures.
Entropy, 2022

Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications.
AII, 2022

2020
A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects.
Sensors, 2020

2019
A network analysis based approach to characterizing periodic sharp wave complexes in electroencephalograms of patients with sporadic CJD.
Int. J. Medical Informatics, 2019

2018
Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures.
Entropy, 2018

2017
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia.
Int. J. Neural Syst., 2017

Usage of network analysis to investigate Periodic Sharp Wave Complexes in EEGs of patients with sporadic CJD.
Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

2009
Algorithms and topographic mapping for epileptic seizures recognition and prediction.
Proceedings of the Neural Nets WIRN09, 2009

2008
Mutual information for measuring independence of STLmax time series in the epileptic brain.
Proceedings of the International Joint Conference on Neural Networks, 2008


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