Nadia Mammone
Nadia Mammone
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Automatic artifact rejection from multichannel scalp EEG by wavelet ICA
N Mammone, F La Foresta, FC Morabito
IEEE Sensors Journal 12 (3), 533-542, 2011
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia
C Ieracitano, N Mammone, A Hussain, FC Morabito
Neural Networks 123, 176-190, 2020
A convolutional neural network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
C Ieracitano, N Mammone, A Bramanti, A Hussain, FC Morabito
Neurocomputing 323, 96-107, 2019
Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings
FC Morabito, M Campolo, C Ieracitano, JM Ebadi, L Bonanno, A Bramanti, ...
2016 IEEE 2nd International Forum on Research and Technologies for Society …, 2016
A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level
N Mammone, C Ieracitano, FC Morabito
Neural Networks 124, 357-372, 2020
Deep learning representation from electroencephalography of early-stage Creutzfeldt-Jakob disease and features for differentiation from rapidly progressive dementia
FC Morabito, M Campolo, N Mammone, M Versaci, S Franceschetti, ...
International journal of neural systems 27 (02), 1650039, 2017
Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings
G Inuso, F La Foresta, N Mammone, FC Morabito
2007 international joint conference on neural networks, 1524-1529, 2007
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
C Ieracitano, N Mammone, M Versaci, G Varone, AR Ali, A Armentano, ...
Neurocomputing 481, 202-215, 2022
A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer’s disease using EEG signals
JP Amezquita-Sanchez, N Mammone, FC Morabito, S Marino, H Adeli
Journal of neuroscience methods 322, 88-95, 2019
A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction.
B Azzerboni, F La Foresta, N Mammone, FC Morabito
ESANN, 193-198, 2005
Permutation entropy of scalp EEG: A tool to investigate epilepsies: Suggestions from absence epilepsies
E Ferlazzo, N Mammone, V Cianci, S Gasparini, A Gambardella, A Labate, ...
Clinical Neurophysiology 125 (1), 13-20, 2014
A novel explainable machine learning approach for EEG-based brain-computer interface systems
C Ieracitano, N Mammone, A Hussain, FC Morabito
Neural Computing and Applications 34 (14), 11347-11360, 2022
Brain network analysis of compressive sensed high-density EEG signals in AD and MCI subjects
N Mammone, S De Salvo, L Bonanno, C Ieracitano, S Marino, A Marra, ...
IEEE Transactions on Industrial Informatics 15 (1), 527-536, 2018
Permutation disalignment index as an indirect, EEG-based, measure of brain connectivity in MCI and AD patients
N Mammone, L Bonanno, SD Salvo, S Marino, P Bramanti, A Bramanti, ...
International journal of neural systems 27 (05), 1750020, 2017
Permutation Jaccard distance-based hierarchical clustering to estimate EEG network density modifications in MCI subjects
N Mammone, C Ieracitano, H Adeli, A Bramanti, FC Morabito
IEEE transactions on neural networks and learning systems 29 (10), 5122-5135, 2018
Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal
N Mammone, C Morabito, Francesco
Entropy 16 (12), 6553-6572, 2014
Brain activity investigation by EEG processing: wavelet analysis, kurtosis and Renyi's entropy for artifact detection
G Inuso, F La Foresta, N Mammone, FC Morabito
2007 International Conference on Information Acquisition, 195-200, 2007
Enhanced automatic artifact detection based on independent component analysis and Renyi’s entropy
N Mammone, FC Morabito
Neural networks 21 (7), 1029-1040, 2008
Differentiating interictal and ictal states in childhood absence epilepsy through permutation Rényi entropy
N Mammone, J Duun-Henriksen, TW Kjaer, FC Morabito
Entropy 17 (7), 4627-4643, 2015
Efficient deep neural networks for classification of Alzheimer’s disease and mild cognitive impairment from scalp EEG recordings
S Fouladi, AA Safaei, N Mammone, F Ghaderi, MJ Ebadi
Cognitive Computation 14 (4), 1247-1268, 2022
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