IERACITANO, Cosimo
IERACITANO, Cosimo
DIPARTIMENTO DI INGEGNERIA CHIMICA, DEI MATERIALI E DELLA PRODUZIONE INDUSTRIALE
Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence
2017 Ieracitano, C; Mammone, N; La Foresta, F; Morabito, F C
A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings
2023 Lo Giudice, Michele; Mammone, Nadia; Ieracitano, Cosimo; Aguglia, Umberto; Mandic, Danilo; Morabito, Francesco Carlo
Deep learning approaches to electrophysiological multivariate time-series analysis
2018 Morabito, F C; Campolo, M; Ieracitano, C; Mammone, N
Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications
2022 Giudice, M. L.; Mammone, N.; Ieracitano, C.; Campolo, M.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C.
MPnnet: A Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces
2021 Mammone, N.; Ieracitano, C.; Morabito, F. C.
Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem
2021 Versaci, Mario; Mammone, Nadia; Ieracitano, Cosimo; Carlo Morabito, Francesco
Editorial Topical Collection: “Explainable and Augmented Machine Learning for Biosignals and Biomedical Images”
2023 Ieracitano, Cosimo; Mahmud, Mufti; Doborjeh, Maryam; Lay-Ekuakille, Aimé
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.
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
Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach
2020 Ieracitano, C; Pantò, F; Mammone, N; Paviglianiti, A; Frontera, P; Morabito, F C
A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings
2019 Ieracitano, C; Mammone, N; Bramanti, A; Hussain, A; Morabito, Fc
Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects
2018 Mammone, N; Ieracitano, C; Adeli, H; Bramanti, A; Morabito, Fc
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia
2020 Ieracitano, Cosimo; Mammone, Nadia; Hussain, Amir; Morabito, Francesco C
A machine learning approach involving functional connectivity features to classify rest-eeg psychogenic non-epileptic seizures from healthy controls
2022 Varone, G.; Boulila, W.; Lo Giudice, M.; Benjdira, B.; Mammone, N.; Ieracitano, C.; Dashtipour, K.; Neri, S.; Gasparini, S.; Morabito, F. C.; Hussain, A.; Aguglia, U.
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation
2022 Ieracitano, C; Nicoletti, F; Arcuri, N; Ruggeri, G; Versaci, M; Morabito, Fc; Mammone, N
An explainable embedded neural system for on-board ship detection from optical satellite imagery
2024 Ieracitano, C.; Mammone, N.; Spagnolo, F.; Frustaci, F.; Perri, S.; Corsonello, P.; 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 Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals
2024 Mammone, Nadia; Ieracitano, Cosimo; Spataro, Rossella; Guger, Christoph; Cho, Woosang; Morabito, Francesco Carlo
Coherence-based complex network analysis of absence seizure EEG signals
2019 Mammone, N; Ieracitano, C; Duun-Henriksen, J; Kjaer, T W; Morabito, F C
A novel explainable machine learning approach for EEG-based brain-computer interface systems
2022 Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C.
| Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|---|
| Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence | 2.1 Contributo in volume (Capitolo o Saggio) | 2017 | Ieracitano, C; Mammone, N; La Foresta, F; Morabito, F C | |
| A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings | 2.1 Contributo in volume (Capitolo o Saggio) | 2023 | Lo Giudice, Michele; Mammone, Nadia; Ieracitano, Cosimo; Aguglia, Umberto; Mandic, Danilo; Morabito, Francesco Carlo | |
| Deep learning approaches to electrophysiological multivariate time-series analysis | 2.1 Contributo in volume (Capitolo o Saggio) | 2018 | Morabito, F C; Campolo, M; Ieracitano, C; Mammone, N | |
| Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications | 4.1 Articoli in Atti di convegno | 2022 | Giudice, M. L.; Mammone, N.; Ieracitano, C.; Campolo, M.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C. | |
| MPnnet: A Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces | 4.1 Articoli in Atti di convegno | 2021 | Mammone, N.; Ieracitano, C.; Morabito, F. C. | |
| Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem | 1.1 Articolo in rivista | 2021 | Versaci, Mario; Mammone, Nadia; Ieracitano, Cosimo; Carlo Morabito, Francesco | |
| Editorial Topical Collection: “Explainable and Augmented Machine Learning for Biosignals and Biomedical Images” | 1.1 Articolo in rivista | 2023 | Ieracitano, Cosimo; Mahmud, Mufti; Doborjeh, Maryam; Lay-Ekuakille, Aimé | |
| 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. | |
| 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 | |
| Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach | 2.1 Contributo in volume (Capitolo o Saggio) | 2020 | Ieracitano, C; Pantò, F; Mammone, N; Paviglianiti, A; Frontera, P; Morabito, F C | |
| A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings | 1.1 Articolo in rivista | 2019 | Ieracitano, C; Mammone, N; Bramanti, A; Hussain, A; Morabito, Fc | |
| Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects | 1.1 Articolo in rivista | 2018 | Mammone, N; Ieracitano, C; Adeli, H; Bramanti, A; Morabito, Fc | |
| A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia | 1.1 Articolo in rivista | 2020 | Ieracitano, Cosimo; Mammone, Nadia; Hussain, Amir; Morabito, Francesco C | |
| A machine learning approach involving functional connectivity features to classify rest-eeg psychogenic non-epileptic seizures from healthy controls | 1.1 Articolo in rivista | 2022 | Varone, G.; Boulila, W.; Lo Giudice, M.; Benjdira, B.; Mammone, N.; Ieracitano, C.; Dashtipour, K.; Neri, S.; Gasparini, S.; Morabito, F. C.; Hussain, A.; Aguglia, U. | |
| A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation | 1.1 Articolo in rivista | 2022 | Ieracitano, C; Nicoletti, F; Arcuri, N; Ruggeri, G; Versaci, M; Morabito, Fc; Mammone, N | |
| An explainable embedded neural system for on-board ship detection from optical satellite imagery | 1.1 Articolo in rivista | 2024 | Ieracitano, C.; Mammone, N.; Spagnolo, F.; Frustaci, F.; Perri, S.; Corsonello, P.; 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 Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals | 1.1 Articolo in rivista | 2024 | Mammone, Nadia; Ieracitano, Cosimo; Spataro, Rossella; Guger, Christoph; Cho, Woosang; Morabito, Francesco Carlo | |
| Coherence-based complex network analysis of absence seizure EEG signals | 2.1 Contributo in volume (Capitolo o Saggio) | 2019 | Mammone, N; Ieracitano, C; Duun-Henriksen, J; Kjaer, T W; Morabito, F C | |
| A novel explainable machine learning approach for EEG-based brain-computer interface systems | 1.1 Articolo in rivista | 2022 | Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C. |