IERACITANO, Cosimo

IERACITANO, Cosimo  

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

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Risultati 1 - 20 di 57 (tempo di esecuzione: 0.024 secondi).
Titolo Data di pubblicazione Autore(i) File
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications 1-gen-2020 Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C.
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications 1-gen-2020 Lo Giudice, M.; Varone, G.; Ieracitano, C.; Mammone, N.; Bruna, A. R.; Tomaselli, V.; Morabito, F. C.
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 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 1-gen-2023 Lo Giudice, Michele; Mammone, Nadia; Ieracitano, Cosimo; Aguglia, Umberto; Mandic, Danilo; Morabito, Francesco Carlo
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia 1-gen-2020 Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C.
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia 1-gen-2020 Ieracitano, C.; Mammone, N.; Hussain, A.; Morabito, F. C.
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 Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals 1-gen-2024 Mammone, Nadia; Ieracitano, Cosimo; Spataro, Rossella; Guger, Christoph; Cho, Woosang; Morabito, Francesco Carlo
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 neural network approach for predicting the diameters of electrospun polyvinylacetate (PVAc) nanofibers 1-gen-2017 Ieracitano, C; Pantò, F; Frontera, P; Morabito, Francesco Carlo
A novel approach to shadow boundary detection based on an adaptive direction-tracking filter for brain-machine interface applications 1-gen-2020 Ju, Z.; Gun, L.; Hussain, A.; Mahmud, M.; Ieracitano, C.
A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers 1-gen-2021 Ieracitano, C.; Paviglianiti, A.; Campolo, M.; Hussain, A.; Pasero, E.; Morabito, F. C.
A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting 1-gen-2023 Varone, G.; Ieracitano, C.; Ciftcioglu, A. O.; Hussain, T.; Gogate, M.; Dashtipour, K.; Al-Tamimi, B. N.; Almoamari, H.; Akkurt, I.; Hussain, A.
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.