N. Mammone

发表

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).

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.

Multiple Sclerosis lesions detection by a hybrid Watershed-Clustering algorithm.

S. Marino, A. Bramanti, P. Bramanti, 2020, Clinical imaging.

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..

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).

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.

Compressibility of High-Density EEG Signals in Stroke Patients

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

Cortical Reorganization after Rehabilitation in a Patient with Conduction Aphasia Using High-Density EEG

S. Marino, A. Bramanti, F. La Foresta, 2020 .

Bioelectric Activity Evaluation of Fetal Heart Muscle by Mother ECG Processing

F. La Foresta, F. Morabito, N. Mammone, 2006, 2006 12th Biennial IEEE Conference on Electromagnetic Field Computation.

Testing the early Paleoproterozoic connection of the Superior and Wyoming cratons with geochronology and geochemistry

A. Kuznetsov, N. Mammone, K. Chamberlain, 2022, Precambrian Research.

Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications

F. Morabito, V. Tomaselli, M. Campolo, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance

F. Morabito, M. Versaci, C. Ieracitano, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Efficient Deep Neural Networks for Classification of Alzheimer’s Disease and Mild Cognitive Impairment from Scalp EEG Recordings

A. Safaei, M. Ebadi, J. Ebadi, 2022, Cognitive Computation.

Parkinson's disease resting tremor severity classification using machine learning with resampling techniques

O. Cramariuc, N. Popescu, N. Mammone, 2022, Frontiers in Neuroscience.

The Next Generation of eHealth: A Multidisciplinary Survey

F. Rinaldi, G. Araniti, F. Morabito, 2022, IEEE Access.

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

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

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

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

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

A. Hussain, F. Morabito, U. Aguglia, 2021, Sensors.

Signatures of Brain Network Alteration in Psychogenic Non-Epileptic Seizures: A Rest-EEG Study Based on Power Spectral Density and Phase Lag Index

A. Hussain, F. Morabito, U. Aguglia, 2021, bioRxiv.

A New dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms

H. Adeli, J. Amezquita-Sanchez, F. Morabito, 2020, Clinical Neurology and Neurosurgery.

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.

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.

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).

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.

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.

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.

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.

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..

An explainable Artificial Intelligence approach to study MCI to AD conversion via HD-EEG processing

F. Morabito, C. Ieracitano, N. Mammone, 2021, Clinical EEG and neuroscience.

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.

Testing Graph Robustness Indexes for EEG Analysis in Alzheimer’s Disease Diagnosis

F. La Foresta, F. Morabito, D. Rosaci, 2021, Electronics.

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.

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

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

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

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

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).

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).

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

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

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

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

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images

Zain U. Hussain, Morabito, M. Versaci, 2022, Neurocomputing.

Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal

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

A novel explainable machine learning approach for EEG-based brain-computer interface systems

A. Hussain, F. Morabito, C. Ieracitano, 2021, Neural Computing and Applications.

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.

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).

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

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

Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors

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

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.

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).

AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG

H. Adeli, F. Morabito, C. Ieracitano, 2023, IEEE Journal of Biomedical and Health Informatics.

A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources

F. Morabito, C. Ieracitano, N. Mammone, 2021, 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.

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.

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 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.

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.

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.

Multiresolution ICA for Artifact Identification from Electroencephalographic Recordings

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

Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter

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

A Comparison of ICA Algorithms in Biomedical Signal Processing

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

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.

STLmax joint Mutual Information for quantifying independence in the epileptic brain

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

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).

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..

Automatic Artifact Rejection From Multichannel Scalp EEG by Wavelet ICA

F. La Foresta, N. Mammone, F. C. Morabito, 2012, IEEE Sensors Journal.

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).

Absence of Interactions between Denosumab and Warfarin in Women with Osteoporosis

N. Mammone, G. Sottilotta, A. Panuccio, 2018, Reports.

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.

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

Rocco Giuseppe Pizzimenti, F. Morabito, D. Ursino, 2019, Medical and Biological Engineering and Computing.

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).

Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects

F. Morabito, E. Ferlazzo, U. Aguglia, 2022, International Journal of Environmental Research and Public Health.

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

Giovanbattista Gaspare Tripodi, F. Morabito, E. Ferlazzo, 2022, Entropy.

Visualization and modelling of STLmax topographic brain activity maps

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

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.

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.

Brain Activity Investigation by EEG Processing: Wavelet Analysis, Kurtosis and Renyi's Entropy for Artifact Detection

F.C. Morabito, F. La Foresta, N. Mammone, 2007, 2007 International Conference on Information Acquisition.

ON " OCULAR ARTIFACTS IN EEG AND THEIR REMOVAL TECHNIQUES "

S. Sanei, L. Shoker, F. L. Foresta, 2017 .

An explainable embedded neural system for on-board ship detection from optical satellite imagery

F. Morabito, C. Ieracitano, N. Mammone, 2024, Engineering Applications of Artificial Intelligence.

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 .

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.

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

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

Clustering of entropy topography in epileptic electroencephalography

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

ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment

A. Tzallas, F. Morabito, N. Mammone, 2024, 2409.00032.