| 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 | 238 | 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 | 234 | 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 | 202 | 2020 |
| 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 | 160 | 2016 |
| A survey on the role of wireless sensor networks and IoT in disaster management A Adeel, M Gogate, S Farooq, C Ieracitano, K Dashtipour, H Larijani, ... Geological disaster monitoring based on sensor networks, 57-66, 2019 | 145 | 2019 |
| 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 |
| 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 | 106 | 2022 |
| 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 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 | 82 | 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 |
| Statistical analysis driven optimized deep learning system for intrusion detection C Ieracitano, A Adeel, M Gogate, K Dashtipour, FC Morabito, H Larijani, ... Advances in Brain Inspired Cognitive Systems: 9th International Conference …, 2018 | 69 | 2018 |
| A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers C Ieracitano, A Paviglianiti, M Campolo, A Hussain, E Pasero, ... IEEE/CAA Journal of Automatica Sinica 8 (1), 64-76, 2020 | 58 | 2020 |
| Exploiting deep learning for Persian sentiment analysis K Dashtipour, M Gogate, A Adeel, C Ieracitano, H Larijani, A Hussain Advances in Brain Inspired Cognitive Systems: 9th International Conference …, 2018 | 55 | 2018 |
| A hybrid-domain deep learning-based BCI for discriminating hand motion planning from EEG sources C Ieracitano, FC Morabito, A Hussain, N Mammone International journal of neural systems 31 (09), 2150038, 2021 | 45 | 2021 |
| Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder M Mahmud, MS Kaiser, MA Rahman, T Wadhera, DJ Brown, N Shopland, ... International Conference on Human-Computer Interaction, 356-370, 2022 | 40 | 2022 |
| A highly-efficient fuzzy-based controller with high reduction inputs and membership functions for a grid-connected photovoltaic system L Farah, A Hussain, A Kerrouche, C Ieracitano, J Ahmad, M Mahmud IEEE Access 8, 163225-163237, 2020 | 40 | 2020 |
| A time-frequency based machine learning system for brain states classification via eeg signal processing C Ieracitano, N Mammone, A Bramanti, S Marino, A Hussain, FC Morabito 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 40 | 2019 |
| Information theoretic-based interpretation of a deep neural network approach in diagnosing psychogenic non-epileptic seizures S Gasparini, M Campolo, C Ieracitano, N Mammone, E Ferlazzo, C Sueri, ... Entropy 20 (2), 43, 2018 | 37 | 2018 |
| A semi-supervised approach for sentiment analysis of arab (ic+ izi) messages: Application to the algerian dialect I Guellil, A Adeel, F Azouaou, F Benali, AE Hachani, K Dashtipour, ... SN Computer Science 2, 1-18, 2021 | 35 | 2021 |
| A machine learning approach involving functional connectivity features to classify rest-EEG psychogenic non-epileptic seizures from healthy controls G Varone, W Boulila, M Lo Giudice, B Benjdira, N Mammone, C Ieracitano, ... Sensors 22 (1), 129, 2021 | 29 | 2021 |
