IERACITANO, Cosimo
IERACITANO, Cosimo
DIPARTIMENTO DI INGEGNERIA CHIMICA, DEI MATERIALI E DELLA PRODUZIONE INDUSTRIALE
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
The Use of Artificial Intelligence for Space Applications
2023 Ieracitano, Cosimo; Mammone, Nadia; Di Clemente, Marco; Mahmud, Mufti; Furfaro, Roberto; Carlo Morabito, Francesco
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
Explainable deep learning to information extraction in diagnostics and electrophysiological multivariate time series
2024 Morabito, Francesco Carlo; Campolo, Maurizio; Ieracitano, Cosimo; Mammone, Nadia
Deep learning approaches to electrophysiological multivariate time-series analysis
2018 Morabito, F C; Campolo, M; Ieracitano, C; Mammone, N
On the Use of Quasi-Sigmoids in Function Approximation Problems with Neural Networks
2023 Morabito, F. C.; Campolo, M.; Ieracitano, C.
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
Towards an Explainable Artificial Intelligence Approach for Ships Detection from Satellite Imagery
2023 Ieracitano, Cosimo; Mammone, Nadia; Morabito, Francesco Carlo
Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps
2022 Mammone, N.; Ieracitano, C.; Spataro, R.; Guger, C.; Cho, W.; Morabito, F. C.
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.
A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect
2021 Guellil, I.; Adeel, A.; Azouaou, F.; Benali, F.; Hachani, A. -E.; Dashtipour, K.; Gogate, M.; Ieracitano, C.; Kashani, R.; Hussain, A.
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.
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
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.
A Machine-learning and Compressive-sensing Inspired Approach to the Optimal Array Pattern Synthesis
2019 Morabito, A. F.; Ieracitano, C.; Morabito, F. C.
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
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
| Titolo | Tipologia | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|---|
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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. | |
| 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 | |
| Towards an Explainable Artificial Intelligence Approach for Ships Detection from Satellite Imagery | 2.1 Contributo in volume (Capitolo o Saggio) | 2023 | Ieracitano, Cosimo; Mammone, Nadia; Morabito, Francesco Carlo | |
| Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps | 2.1 Contributo in volume (Capitolo o Saggio) | 2022 | Mammone, N.; Ieracitano, C.; Spataro, R.; Guger, C.; Cho, W.; Morabito, F. C. | |
| 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. | |
| A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect | 1.1 Articolo in rivista | 2021 | Guellil, I.; Adeel, A.; Azouaou, F.; Benali, F.; Hachani, A. -E.; Dashtipour, K.; Gogate, M.; Ieracitano, C.; Kashani, R.; Hussain, A. | |
| 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. | |
| 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 | |
| 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. | |
| 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 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 | |
| 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 |