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
An Ensemble Based Classification Approach for Persian Sentiment Analysis
2021 Dashtipour, K.; Ieracitano, C.; Morabito, F. C.; Raza, A.; Hussain, A.
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
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications
2020 Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C.
On the Use of Quasi-Sigmoids in Function Approximation Problems with Neural Networks
2023 Morabito, F. C.; Campolo, M.; Ieracitano, C.
Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects
2019 Mammone, N; De Salvo, S; Bonanno, L; Ieracitano, C; Marino, S; Marra, A; Bramanti, A; Morabito, Fc
Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures
2018 Gasparini, S; Campolo, M; Ieracitano, C; Mammone, N; Ferlazzo, E; Sueri, C; Tripodi, Gg; Aguglia, U; Morabito, Fc
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
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
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.
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.
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
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 statistical analysis and autoencoder driven intelligent intrusion detection approach
2020 Ieracitano, C.; Adeel, A.; Morabito, F. C.; Hussain, A.
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
Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals
2020 Mammone, N.; De Salvo, S.; Marino, S.; Bonanno, L.; Ieracitano, C.; Dattola, S.; La Foresta, F.; Morabito, F. C.
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia
2020 Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C.
A Machine-learning and Compressive-sensing Inspired Approach to the Optimal Array Pattern Synthesis
2019 Morabito, A. F.; Ieracitano, C.; Morabito, F. C.
A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting
2023 Varone, G.; Ieracitano, C.; Ciftcioglu, A. O.; Hussain, T.; Gogate, M.; Dashtipour, K.; Al-Tamimi, B. N.; Almoamari, H.; Akkurt, I.; Hussain, A.
| 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 | |
| An Ensemble Based Classification Approach for Persian Sentiment Analysis | 2.1 Contributo in volume (Capitolo o Saggio) | 2021 | Dashtipour, K.; Ieracitano, C.; Morabito, F. C.; Raza, A.; Hussain, A. | |
| 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 | |
| 1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications | 4.1 Articoli in Atti di convegno | 2020 | Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C. | |
| On the Use of Quasi-Sigmoids in Function Approximation Problems with Neural Networks | 2.1 Contributo in volume (Capitolo o Saggio) | 2023 | Morabito, F. C.; Campolo, M.; Ieracitano, C. | |
| Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects | 1.1 Articolo in rivista | 2019 | Mammone, N; De Salvo, S; Bonanno, L; Ieracitano, C; Marino, S; Marra, A; Bramanti, A; Morabito, Fc | |
| Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures | 1.1 Articolo in rivista | 2018 | Gasparini, S; Campolo, M; Ieracitano, C; Mammone, N; Ferlazzo, E; Sueri, C; Tripodi, Gg; Aguglia, U; Morabito, Fc | |
| 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 | |
| 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 | |
| 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. | |
| 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. | |
| 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 | |
| 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 statistical analysis and autoencoder driven intelligent intrusion detection approach | 1.1 Articolo in rivista | 2020 | Ieracitano, C.; Adeel, A.; Morabito, F. C.; Hussain, A. | |
| 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 | |
| Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals | 2.1 Contributo in volume (Capitolo o Saggio) | 2020 | Mammone, N.; De Salvo, S.; Marino, S.; Bonanno, L.; Ieracitano, C.; Dattola, S.; La Foresta, F.; Morabito, F. C. | |
| A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia | 4.1 Articoli in Atti di convegno | 2020 | Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C. | |
| 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 Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting | 1.1 Articolo in rivista | 2023 | Varone, G.; Ieracitano, C.; Ciftcioglu, A. O.; Hussain, T.; Gogate, M.; Dashtipour, K.; Al-Tamimi, B. N.; Almoamari, H.; Akkurt, I.; Hussain, A. |