| 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 | 301 | 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 | 235 | 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 | 229 | 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 | 157 | 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 | 135 | 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 | 131 | 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 | 129 | 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 | 104 | 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 | 96 | 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 | 90 | 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 | 85 | 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 | 82 | 2022 |
| 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 | 82 | 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 | 81 | 2018 |
| 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 | 80 | 2018 |
| Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal N Mammone, C Morabito, Francesco Entropy 16 (12), 6553-6572, 2014 | 76 | 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 | 76 | 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 | 69 | 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 | 59 | 2015 |
| Analysis of absence seizure generation using EEG spatial-temporal regularity measures N Mammone, D Labate, A Lay-Ekuakille, FC Morabito International Journal of Neural Systems 22 (06), 1250024, 2012 | 49 | 2012 |
Jonas Duun-HenriksenDirector Epilepsy Science & AI, UNEEG medical A/SVerified email at uneeg.com
