C. Ieracitano

发表

A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia

Francesco Carlo Morabito, Amir Hussain, Nadia Mammone, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach

Francesco Carlo Morabito, Annunziata Paviglianiti, Nadia Mammone, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Compressibility of High-Density EEG Signals in Stroke Patients

Francesco Carlo Morabito, Alessia Bramanti, Nadia Mammone, 2018, Sensors.

Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications

F. Morabito, V. Tomaselli, M. Campolo, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance

F. Morabito, M. Versaci, C. Ieracitano, 2022, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls

A. Hussain, F. Morabito, U. Aguglia, 2021, Sensors.

Signatures of Brain Network Alteration in Psychogenic Non-Epileptic Seizures: A Rest-EEG Study Based on Power Spectral Density and Phase Lag Index

A. Hussain, F. Morabito, U. Aguglia, 2021, bioRxiv.

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia

Amir Hussain, Nadia Mammone, Cosimo Ieracitano, 2019, Neural Networks.

A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing

Francesco Carlo Morabito, Amir Hussain, Alessia Bramanti, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings

Francesco Carlo Morabito, Amir Hussain, Alessia Bramanti, 2019, Neurocomputing.

Deep Learning Approaches to Electrophysiological Multivariate Time-Series Analysis

Francesco Carlo Morabito, Nadia Mammone, Maurizio Campolo, 2019, Artificial Intelligence in the Age of Neural Networks and Brain Computing.

Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects

Hojjat Adeli, Alessia Bramanti, Nadia Mammone, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity

Francesco Carlo Morabito, Nadia Mammone, Cosimo Ieracitano, 2017, Entropy.

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management pdf

Hadi Larijani, Amir Hussain, Ahsan Adeel, 2018, Springer Natural Hazards.

An explainable Artificial Intelligence approach to study MCI to AD conversion via HD-EEG processing

F. Morabito, C. Ieracitano, N. Mammone, 2021, Clinical EEG and neuroscience.

A novel statistical analysis and autoencoder driven intelligent intrusion detection approach

Francesco Carlo Morabito, Ahsan Adeel, Amir Hussain, 2020, Neurocomputing.

A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect

Ahsan Adeel, Mandar Gogate, Faiçal Azouaou, 2021, SN Computer Science.

Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects

Alessia Bramanti, Silvia Marino, Nadia Mammone, 2019, IEEE Transactions on Industrial Informatics.

Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2018, Multidisciplinary Approaches to Neural Computing.

Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings

Francesco Carlo Morabito, Alessia Bramanti, Nadia Mammone, 2016, 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI).

Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease

Francesco Carlo Morabito, Hojjat Adeli, Alessia Bramanti, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder

Mohammad Shahadat Hossain, Marzia Hoque Tania, Sheikh Mohammed Shariful Islam, 2022, HCI.

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images

Zain U. Hussain, Morabito, M. Versaci, 2022, Neurocomputing.

A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System

Mufti Mahmud, Amir Hussain, Cosimo Ieracitano, 2020, IEEE Access.

A novel explainable machine learning approach for EEG-based brain-computer interface systems

A. Hussain, F. Morabito, C. Ieracitano, 2021, Neural Computing and Applications.

Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures

Francesco Carlo Morabito, Nadia Mammone, Sara Gasparini, 2018, Entropy.

Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients

Francesco Carlo Morabito, Jonas Duun-Henriksen, Fabio La Foresta, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A Machine-learning and Compressive-sensing Inspired Approach to the Optimal Array Pattern Synthesis

A. F. Morabito, C. Ieracitano, F. C. Morabito, 2019, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring).

A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level

Nadia Mammone, Cosimo Ieracitano, Francesco C Morabito, 2020, Neural Networks.

A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers

Francesco Carlo Morabito, Amir Hussain, Annunziata Paviglianiti, 2021, IEEE/CAA Journal of Automatica Sinica.

AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG

H. Adeli, F. Morabito, C. Ieracitano, 2023, IEEE Journal of Biomedical and Health Informatics.

A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources

F. Morabito, C. Ieracitano, N. Mammone, 2021, Int. J. Neural Syst..

Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2020, Neural Approaches to Dynamics of Signal Exchanges.

Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals

Francesco Carlo Morabito, Jonas Duun-Henriksen, Nadia Mammone, 2017, Quantifying and Processing Biomedical and Behavioral Signals.

1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications

Francesco Carlo Morabito, Nadia Mammone, Cosimo Ieracitano, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Exploiting Deep Learning for Persian Sentiment Analysis

Hadi Larijani, Amir Hussain, Ahsan Adeel, 2018, BICS.

Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures

Giovanbattista Gaspare Tripodi, F. Morabito, E. Ferlazzo, 2022, Entropy.

A Novel Approach to Shadow Boundary Detection Based on an Adaptive Direction-Tracking Filter for Brain-Machine Interface Applications

Mufti Mahmud, Amir Hussain, Cosimo Ieracitano, 2020, Applied Sciences.

A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting

I. Akkurt, M. Gogate, Tassadaq Hussain, 2023, Entropy.

An Ensemble Based Classification Approach for Persian Sentiment Analysis

Francesco Carlo Morabito, Amir Hussain, Ali Raza, 2017, IIH-MSP.

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection pdf

Hadi Larijani, Francesco Carlo Morabito, Amir Hussain, 2018, BICS.

MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces

Francesco Carlo Morabito, Nadia Mammone, Cosimo Ieracitano, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches

Francesco Carlo Morabito, Annunziata Paviglianiti, Nadia Mammone, 2021, EANN.

An explainable embedded neural system for on-board ship detection from optical satellite imagery

F. Morabito, C. Ieracitano, N. Mammone, 2024, Engineering Applications of Artificial Intelligence.

SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials

Francesco Carlo Morabito, Annunziata Paviglianiti, Nadia Mammone, 2017, IIH-MSP.