Image fusion techniques for remote sensing applications G Simone, A Farina, FC Morabito, SB Serpico, L Bruzzone Information fusion 3 (1), 3-15, 2002 | 569 | 2002 |
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 | 316 | 2011 |
Multivariate multi-scale permutation entropy for complexity analysis of Alzheimer’s disease EEG FC Morabito, D Labate, FL Foresta, A Bramanti, G Morabito, I Palamara Entropy 14 (7), 1186-1202, 2012 | 298 | 2012 |
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 | 287 | 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 | 270 | 2019 |
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach C Ieracitano, A Adeel, FC Morabito, A Hussain Neurocomputing 387, 51-62, 2020 | 251 | 2020 |
Empirical mode decomposition vs. wavelet decomposition for the extraction of respiratory signal from single-channel ECG: A comparison D Labate, F La Foresta, G Occhiuto, FC Morabito, A Lay-Ekuakille, ... IEEE Sensors Journal 13 (7), 2666-2674, 2013 | 244 | 2013 |
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 | 183 | 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 | 155 | 2020 |
Image edge detection: A new approach based on fuzzy entropy and fuzzy divergence M Versaci, FC Morabito International Journal of Fuzzy Systems 23 (4), 918-936, 2021 | 153 | 2021 |
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 | 141 | 2022 |
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 | 137 | 2007 |
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 | 135 | 2017 |
A longitudinal EEG study of Alzheimer's disease progression based on a complex network approach FC Morabito, M Campolo, D Labate, G Morabito, L Bonanno, A Bramanti, ... International journal of neural systems 25 (02), 1550005, 2015 | 117 | 2015 |
Entropic measures of EEG complexity in Alzheimer's disease through a multivariate multiscale approach D Labate, F La Foresta, G Morabito, I Palamara, FC Morabito IEEE Sensors Journal 13 (9), 3284-3292, 2013 | 117 | 2013 |
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 | 116 | 2019 |
Neural-ICA and wavelet transform for artifacts removal in surface EMG B Azzerboni, M Carpentieri, F La Foresta, FC Morabito 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004 | 112 | 2004 |
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 | 104 | 2022 |
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 | 93 | 2005 |
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 | 89 | 2018 |