IERACITANO, Cosimo
IERACITANO, Cosimo
DIPARTIMENTO DI INGEGNERIA CHIMICA, DEI MATERIALI E DELLA PRODUZIONE INDUSTRIALE
Explainable deep learning to information extraction in diagnostics and electrophysiological multivariate time series
2024 Morabito, Francesco Carlo; Campolo, Maurizio; Ieracitano, Cosimo; Mammone, Nadia
METHOD FOR DETECTING A CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER DISEASE
2019 Mammone, N; Morabito, F C; Bramanti, P ; Bramanti, A; Campolo, M; Ieracitano, C; Bonanno, L
The Use of Artificial Intelligence for Space Applications
2023 Ieracitano, Cosimo; Mammone, Nadia; Di Clemente, Marco; Mahmud, Mufti; Furfaro, Roberto; Carlo Morabito, Francesco
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management
2019 Adeel, Ahsan; Gogate, Mandar; Farooq, Saadullah; Ieracitano, Cosimo; Dashtipour, Kia; Larijani, Hadi; Hussain, Amir
Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches
2021 Ieracitano, Cosimo; Mammone, Nadia; Paviglianiti, Annunziata; Morabito, Francesco Carlo
A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing
2019 Ieracitano, C.; Mammone, N.; Bramanti, A.; Marino, S.; Hussain, A.; Morabito, F. C.
Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings
2016 Morabito, F; Campolo, M; Ieracitano, C; Ebadi, J; Bonanno, L; De Salvo, S; Mammone, N; Bramanti, A; Bramanti, P
A Machine-learning and Compressive-sensing Inspired Approach to the Optimal Array Pattern Synthesis
2019 Morabito, A. F.; Ieracitano, C.; Morabito, F. C.
A Hybrid-Domain Deep Learning-Based BCI for Discriminating Hand Motion Planning from EEG Sources
2021 Ieracitano, C.; Morabito, F. C.; Hussain, A.; Mammone, N.
TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification
2025 Ieracitano, C.; Ieracitano, C.; Morabito, F. C.; Hussain, A.; Suffian, M.; Mammone, N.; Morabito, F. C.; Hussain, A.; Suffian, M.; Mammone, N.
A novel approach to shadow boundary detection based on an adaptive direction-tracking filter for brain-machine interface applications
2020 Ju, Z.; Gun, L.; Hussain, A.; Mahmud, M.; Ieracitano, C.
AutoEncoder Filter Bank Common Spatial Patterns to decode Motor Imagery from EEG
2023 Mammone, N.; Ieracitano, C.; Adeli, H.; Morabito, F. C.
A conditional Generative Adversarial Network and transfer learning-oriented anomaly classification system for electrospun nanofibers
2022 Ieracitano, Cosimo; Mammone, Nadia; Paviglianiti, Annunziata; Morabito, Francesco Carlo
Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases
2025 Abadal, S.; Galvan, P.; Marmol, A.; Mammone, N.; Ieracitano, C.; Lo Giudice, M.; Salvini, A.; Morabito, F. C.
An explainable Artificial Intelligence approach to study MCI to AD conversion via HD-EEG processing
2023 Morabito, F. C.; Ieracitano, C.; Mammone, N.
A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers
2021 Ieracitano, C.; Paviglianiti, A.; Campolo, M.; Hussain, A.; Pasero, E.; Morabito, F. C.
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder
2022 Mahmud, M.; Kaiser, M. S.; Rahman, M. A.; Wadhera, T.; Brown, D. J.; Shopland, N.; Burton, A.; Hughes-Roberts, T.; Mamun, S. A.; Ieracitano, C.; Tania, M. H.; Moni, M. A.; Islam, M. S.; Ray, K.; Hossain, M. S.
A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity
2017 Mammone, N; De Salvo, S; Ieracitano, C; Marino, S; Marra, A; Corallo, F; Morabito, Fc
SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials
2021 Ieracitano, C.; Paviglianiti, A.; Mammone, Nadia; Versaci, M.; Pasero, E.; Morabito, F. C.
Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications
2022 Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Aguglia, U.; Mandic, D.; Morabito, F. C.
| Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|---|
| Explainable deep learning to information extraction in diagnostics and electrophysiological multivariate time series | 2.1 Contributo in volume (Capitolo o Saggio) | 2024 | Morabito, Francesco Carlo; Campolo, Maurizio; Ieracitano, Cosimo; Mammone, Nadia | |
| METHOD FOR DETECTING A CONVERSION FROM MILD COGNITIVE IMPAIRMENT TO ALZHEIMER DISEASE | 6.1 Brevetto | 2019 | Mammone, N; Morabito, F C; Bramanti, P ; Bramanti, A; Campolo, M; Ieracitano, C; Bonanno, L | |
| The Use of Artificial Intelligence for Space Applications | 2.2 Prefazione/Postfazione | 2023 | Ieracitano, Cosimo; Mammone, Nadia; Di Clemente, Marco; Mahmud, Mufti; Furfaro, Roberto; Carlo Morabito, Francesco | |
| A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management | 2.1 Contributo in volume (Capitolo o Saggio) | 2019 | Adeel, Ahsan; Gogate, Mandar; Farooq, Saadullah; Ieracitano, Cosimo; Dashtipour, Kia; Larijani, Hadi; Hussain, Amir | |
| Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches | 2.1 Contributo in volume (Capitolo o Saggio) | 2021 | Ieracitano, Cosimo; Mammone, Nadia; Paviglianiti, Annunziata; Morabito, Francesco Carlo | |
| A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing | 4.1 Articoli in Atti di convegno | 2019 | Ieracitano, C.; Mammone, N.; Bramanti, A.; Marino, S.; Hussain, A.; Morabito, F. C. | |
| Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings | 4.1 Articoli in Atti di convegno | 2016 | Morabito, F; Campolo, M; Ieracitano, C; Ebadi, J; Bonanno, L; De Salvo, S; Mammone, N; Bramanti, A; Bramanti, P | |
| A Machine-learning and Compressive-sensing Inspired Approach to the Optimal Array Pattern Synthesis | 4.1 Articoli in Atti di convegno | 2019 | Morabito, A. F.; Ieracitano, C.; Morabito, F. C. | |
| A Hybrid-Domain Deep Learning-Based BCI for Discriminating Hand Motion Planning from EEG Sources | 1.1 Articolo in rivista | 2021 | Ieracitano, C.; Morabito, F. C.; Hussain, A.; Mammone, N. | |
| TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification | 1.1 Articolo in rivista | 2025 | Ieracitano, C.; Ieracitano, C.; Morabito, F. C.; Hussain, A.; Suffian, M.; Mammone, N.; Morabito, F. C.; Hussain, A.; Suffian, M.; Mammone, N. | |
| A novel approach to shadow boundary detection based on an adaptive direction-tracking filter for brain-machine interface applications | 1.1 Articolo in rivista | 2020 | Ju, Z.; Gun, L.; Hussain, A.; Mahmud, M.; Ieracitano, C. | |
| AutoEncoder Filter Bank Common Spatial Patterns to decode Motor Imagery from EEG | 1.1 Articolo in rivista | 2023 | Mammone, N.; Ieracitano, C.; Adeli, H.; Morabito, F. C. | |
| A conditional Generative Adversarial Network and transfer learning-oriented anomaly classification system for electrospun nanofibers | 1.1 Articolo in rivista | 2022 | Ieracitano, Cosimo; Mammone, Nadia; Paviglianiti, Annunziata; Morabito, Francesco Carlo | |
| Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases | 1.1 Articolo in rivista | 2025 | Abadal, S.; Galvan, P.; Marmol, A.; Mammone, N.; Ieracitano, C.; Lo Giudice, M.; Salvini, A.; Morabito, F. C. | |
| An explainable Artificial Intelligence approach to study MCI to AD conversion via HD-EEG processing | 1.1 Articolo in rivista | 2023 | Morabito, F. C.; Ieracitano, C.; Mammone, N. | |
| A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers | 1.1 Articolo in rivista | 2021 | Ieracitano, C.; Paviglianiti, A.; Campolo, M.; Hussain, A.; Pasero, E.; Morabito, F. C. | |
| Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder | 2.1 Contributo in volume (Capitolo o Saggio) | 2022 | Mahmud, M.; Kaiser, M. S.; Rahman, M. A.; Wadhera, T.; Brown, D. J.; Shopland, N.; Burton, A.; Hughes-Roberts, T.; Mamun, S. A.; Ieracitano, C.; Tania, M. H.; Moni, M. A.; Islam, M. S.; Ray, K.; Hossain, M. S. | |
| A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity | 1.1 Articolo in rivista | 2017 | Mammone, N; De Salvo, S; Ieracitano, C; Marino, S; Marra, A; Corallo, F; Morabito, Fc | |
| SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials | 2.1 Contributo in volume (Capitolo o Saggio) | 2021 | Ieracitano, C.; Paviglianiti, A.; Mammone, Nadia; Versaci, M.; Pasero, E.; Morabito, F. C. | |
| Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications | 2.1 Contributo in volume (Capitolo o Saggio) | 2022 | Lo Giudice, M.; Mammone, N.; Ieracitano, C.; Aguglia, U.; Mandic, D.; Morabito, F. C. |