Nadia Mammone

发表

A Comparison of ICA Algorithms in Biomedical Signal Processing

Francesco Carlo Morabito, Fabio La Foresta, Bruno Azzerboni, 2004, WIRN.

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

Francesco Carlo Morabito, Nadia Mammone, Sara Gasparini, 2018, Entropy.

Erratum: "Analysis of Absence seizure Generation using EEG Spatial-Temporal Regularity Measures"

Aimé Lay-Ekuakille, Francesco Carlo Morabito, Domenico Labate, 2013, Int. J. Neural Syst..

Deep Learning Approaches to Electrophysiological Multivariate Time-Series Analysis

Francesco Carlo Morabito, Nadia Mammone, Maurizio Campolo, 2019, Artificial Intelligence in the Age of Neural Networks and Brain Computing.

Advanced Methods to Analyse the Complexity of the Brain

Gaoxiang Ouyang, Hamed Azami, Nadia Mammone, 2018, Complex..

A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia

Francesco Carlo Morabito, Amir Hussain, Nadia Mammone, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Multiresolution Minimization of Renyi's Mutual Information for fetal-ECG Extraction

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2008, WIRN.

Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects

Alessia Bramanti, Silvia Marino, Nadia Mammone, 2019, IEEE Transactions on Industrial Informatics.

A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data

Nikola Kasabov, Francesco Carlo Morabito, Domenico Labate, 2015, Advances in Neural Networks.

A new network-based approach to investigating neurological disorders

Francesco Carlo Morabito, Giorgio Terracina, Domenico Ursino, 2019, Int. J. Data Min. Model. Manag..

A network analysis based approach to characterizing periodic sharp wave complexes in electroencephalograms of patients with sporadic CJD

Francesco Carlo Morabito, Domenico Ursino, Paolo Lo Giudice, 2019, Int. J. Medical Informatics.

Entropy spatial clustering in epileptic EEG

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, 2009 International Joint Conference on Neural Networks.

Semi-Automatic Artifact Rejection Procedure based on Kurtosis, Renyi's Entropy and Independent Component Scalp Maps

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2005, IEC.

Dynamic Modeling of Heart Dipole Vector for the ECG and VCG Generation

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2009, WIRN.

Evolution Characterization of Alzheimer's Disease Using eLORETA's Three-Dimensional Distribution of the Current Density and Small-World Network

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2017, Quantifying and Processing Biomedical and Behavioral Signals.

PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2009, Biomed. Signal Process. Control..

Clustering of entropy topography in epileptic electroencephalography

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2010, Neural Computing and Applications.

Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism

Francesco Carlo Morabito, Mario Versaci, Maurizio Fiasché, 2007, KES.

Preprocessing the EEG of Alzheimer's Patients to Automatically Remove Artifacts

Nadia Mammone, N. Mammone, 2018, Multidisciplinary Approaches to Neural Computing.

STLmax joint Mutual Information for quantifying independence in the epileptic brain

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, WIRN.

Analysis of Absence Seizure Generation using EEG Spatial-Temporal Regularity Measures

Aimé Lay-Ekuakille, Francesco Carlo Morabito, Domenico Labate, 2012, Int. J. Neural Syst..

Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2007, 2007 International Joint Conference on Neural Networks.

Effects of Artifacts Rejection on EEG Complexity in Alzheimer's Disease

Francesco Carlo Morabito, Domenico Labate, Fabio La Foresta, 2015, Advances in Neural Networks.

Artificial Neural Networks and Multi-Class Support Vector Machines for Classifying Magnetic Measurements in Tokamak Reactors

Francesco Carlo Morabito, Nadia Mammone, Antonino Greco, 2008 .

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture

Francesco Carlo Morabito, Jonas Duun-Henriksen, Nikola K. Kasabov, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level

Nadia Mammone, Cosimo Ieracitano, Francesco C Morabito, 2020, Neural Networks.

Findings about LORETA Applied to High-Density EEG—A Review

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2020, Electronics.

Kurtosis, Renyi's Entropy and Independent Component Scalp Maps for the Automatic Artifact Rejection from EEG data

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2008 .

Analysis of the Automatic Detection of Critical Epochs from coma-EEG by Dominant Components and Features Extraction

Fabio La Foresta, Nadia Mammone, Giuseppina Inuso, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Discovering Network Phenomena in the Epileptic Electroencephalography through Permutation Entropy Mapping

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2010, WIRN.

Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients

Francesco Carlo Morabito, Alessia Bramanti, Nadia Mammone, 2017, Int. J. Neural Syst..

Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2020, Neural Approaches to Dynamics of Signal Exchanges.

A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer’s disease using EEG signals

Juan P. Amezquita-Sanchez, Hojjat Adeli, Nadia Mammone, 2019, Journal of Neuroscience Methods.

Compressibility of High-Density EEG Signals in Stroke Patients

Francesco Carlo Morabito, Alessia Bramanti, Nadia Mammone, 2018, Sensors.

A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity

Francesco Carlo Morabito, Nadia Mammone, Cosimo Ieracitano, 2017, Entropy.

1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications

Francesco Carlo Morabito, Nadia Mammone, Cosimo Ieracitano, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings

Francesco Carlo Morabito, Alessia Bramanti, Nadia Mammone, 2016, 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI).

Effect of Sensor Density on eLORETA Source Localization Accuracy

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model

Francesco Carlo Morabito, Nikola K. Kasabov, Elisa Capecci, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials

Francesco Carlo Morabito, Annunziata Paviglianiti, Nadia Mammone, 2017, IIH-MSP.

Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography

Francesco Carlo Morabito, Jonas Duun-Henriksen, Fabio La Foresta, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy

Francesco Carlo Morabito, Nadia Mammone, F. Morabito, 2008, Neural Networks.

Usage of network analysis to investigate Periodic Sharp Wave Complexes in EEGs of patients with sporadic CJD

Francesco Carlo Morabito, Domenico Ursino, Paolo Lo Giudice, 2017, SEBD.

Epileptic Time Series Prediction: A Patent Perspective

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2008 .

A new network-based approach to investigating neurological disorders

Francesco Carlo Morabito, Giorgio Terracina, Paolo Lo Giudice, 2019 .

Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals

Francesco Carlo Morabito, Jonas Duun-Henriksen, Nadia Mammone, 2017, Quantifying and Processing Biomedical and Behavioral Signals.

A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction

Francesco Carlo Morabito, Fabio La Foresta, Bruno Azzerboni, 2005, ESANN.

Mutual information for measuring independence of STLmax time series in the epileptic brain

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer's Disease

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2017, IIH-MSP.

Clustering of entropy topography in epileptic electroencephalography

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, Neural Computing and Applications.

Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering

Francesco Carlo Morabito, Nadia Mammone, F. Morabito, 2011, The 2011 International Joint Conference on Neural Networks.

Algorithms and topographic mapping for epileptic seizures recognition and prediction

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2009, WIRN.

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia

Amir Hussain, Nadia Mammone, Cosimo Ieracitano, 2019, Neural Networks.

Differentiating Interictal and Ictal States in Childhood Absence Epilepsy through Permutation Rényi Entropy

Francesco Carlo Morabito, Nadia Mammone, Troels Wesenberg Kjaer, 2015, Entropy.

Automatic Detection of Critical Epochs in coma-EEG Using Independent Component Analysis and Higher Order Statistics

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2006, ICONIP.

SVM classification of epileptic EEG recordings through multiscale permutation entropy

Francesco Carlo Morabito, Domenico Labate, Giuseppe Morabito, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2017, Int. J. Neural Syst..

Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal

Francesco Carlo Morabito, Nadia Mammone, F. Morabito, 2014, Entropy.

Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects

Hojjat Adeli, Alessia Bramanti, Nadia Mammone, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2007, IEC.

Threshold adaptation in automatic wavelet-ICA for electroencephalographic artifact removal

Francesco Carlo Morabito, Aime Lay-Ekuakille, Nadia Mammone, 2014 .

Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach

Francesco Carlo Morabito, Annunziata Paviglianiti, Nadia Mammone, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients

Francesco Carlo Morabito, Jonas Duun-Henriksen, Fabio La Foresta, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings

Francesco Carlo Morabito, Amir Hussain, Alessia Bramanti, 2019, Neurocomputing.

Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2005, WIRN/NAIS.

A complex network-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy

Francesco Carlo Morabito, Domenico Ursino, Paolo Lo Giudice, 2017, 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

Multiresolution ICA for Artifact Identification from Electroencephalographic Recordings

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2007, KES.

Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2018, Multidisciplinary Approaches to Neural Computing.

Leveraging network analysis to support experts in their analyses of subjects with MCI and AD

Francesco Carlo Morabito, Domenico Ursino, Luca Virgili, 2019, Medical & Biological Engineering & Computing.

Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease

Francesco Carlo Morabito, Hojjat Adeli, Alessia Bramanti, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing

Francesco Carlo Morabito, Amir Hussain, Alessia Bramanti, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Quantifying the Complexity of Epileptic EEG

Francesco Carlo Morabito, Jonas Duun-Henriksen, Fabio La Foresta, 2016, Advances in Neural Networks.

MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces

Francesco Carlo Morabito, Nadia Mammone, Cosimo Ieracitano, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches

Francesco Carlo Morabito, Annunziata Paviglianiti, Nadia Mammone, 2021, EANN.

Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2021, Comput. Appl. Math..

Visualization and modelling of STLmax topographic brain activity maps

Nadia Mammone, J. Chris Sackellares, Francesco C. Morabito, 2010, Journal of Neuroscience Methods.

Permutation entropy of scalp EEG: A tool to investigate epilepsies Suggestions from absence epilepsies

Francesco Carlo Morabito, Nadia Mammone, Antonio Gambardella, 2014, Clinical Neurophysiology.

Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering

Francesco Carlo Morabito, Sergio Casciaro, Aime Lay-Ekuakille, 2011 .