IERACITANO, Cosimo

IERACITANO, Cosimo  

Dipartimento di Ingegneria Civile, dell'Energia, dell'Ambiente e dei Materiali  

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Risultati 1 - 20 di 29 (tempo di esecuzione: 0.013 secondi).
Titolo Data di pubblicazione Autore(i) File
A conditional Generative Adversarial Network and transfer learning-oriented anomaly classification system for electrospun nanofibers 1-gen-2022 Ieracitano, Cosimo; Mammone, Nadia; Paviglianiti, Annunziata; Morabito, Francesco Carlo
A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level 1-gen-2020 Mammone, N.; Ieracitano, C.; Morabito, F. C.
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation 1-gen-2022 Ieracitano, C; Nicoletti, F; Arcuri, N; Ruggeri, G; Versaci, M; Morabito, Fc; Mammone, N
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images 1-gen-2022 Ieracitano, C.; Mammone, N.; Versaci, M.; Varone, G.; Ali, A. -R.; Armentano, A.; Calabrese, G.; Ferrarelli, A.; Turano, L.; Tebala, C.; Hussain, Z.; Sheikh, Z.; Sheikh, A.; Sceni, G.; Hussain, A.; Morabito, F. C.
A highly-efficient fuzzy-based controller with high reduction inputs and membership functions for a grid-connected photovoltaic system 1-gen-2020 Farah, L.; Hussain, A.; Kerrouche, A.; Ieracitano, C.; Ahmad, J.; Mahmud, M.
A Hybrid-Domain Deep Learning-Based BCI for Discriminating Hand Motion Planning from EEG Sources 1-gen-2021 Ieracitano, C.; Morabito, F. C.; Hussain, A.; Mammone, N.
A machine learning approach involving functional connectivity features to classify rest-eeg psychogenic non-epileptic seizures from healthy controls 1-gen-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 Machine-learning and Compressive-sensing Inspired Approach to the Optimal Array Pattern Synthesis 1-gen-2019 Morabito, A. F.; Ieracitano, C.; Morabito, F. C.
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia 1-gen-2020 Ieracitano, Cosimo; Mammone, Nadia; Hussain, Amir; Morabito, Francesco C
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach 1-gen-2020 Ieracitano, C.; Adeel, A.; Morabito, F. C.; Hussain, A.
A novel explainable machine learning approach for EEG-based brain-computer interface systems 1-gen-2021 Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C.
A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect 1-gen-2021 Guellil, I.; Adeel, A.; Azouaou, F.; Benali, F.; Hachani, A. -E.; Dashtipour, K.; Gogate, M.; Ieracitano, C.; Kashani, R.; Hussain, A.
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management 1-gen-2019 Adeel, Ahsan; Gogate, Mandar; Farooq, Saadullah; Ieracitano, Cosimo; Dashtipour, Kia; Larijani, Hadi; Hussain, Amir
An Ensemble Based Classification Approach for Persian Sentiment Analysis 1-gen-2021 Dashtipour, K.; Ieracitano, C.; Morabito, F. C.; Raza, A.; Hussain, A.
An explainable Artificial Intelligence approach to study MCI to AD conversion via HD-EEG processing 1-gen-2021 Morabito, F. C.; Ieracitano, C.; Mammone, N.
AutoEncoder Filter Bank Common Spatial Patterns to decode Motor Imagery from EEG 1-gen-2023 Mammone, N.; Ieracitano, C.; Adeli, H.; Morabito, F. C.
Brain network analysis and deep learning models for studying neurological disorders based on EEG signal processing 16-apr-2019 Ieracitano, Cosimo
Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings 1-gen-2016 Morabito, F; Campolo, M; Ieracitano, C; Ebadi, J; Bonanno, L; De Salvo, S; Mammone, N; Bramanti, A; Bramanti, P
Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance 1-gen-2022 Versaci, Mario; Ieracitano, Cosimo; Mammone, Nadia; Sceni, Giuseppe; Morabito, Francesco Carlo
Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals 1-gen-2020 Mammone, N.; De Salvo, S.; Marino, S.; Bonanno, L.; Ieracitano, C.; Dattola, S.; La Foresta, F.; Morabito, F. C.