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Francesco Carlo Morabito

Francesco Carlo Morabito

D-Index & Metrics

Computer Science

D-Index
43
Citations
7671
World Ranking
7995
National Ranking
212

Overview

Francesco Carlo Morabito is affiliated with the University of Reggio Calabria in Italy. Their research primarily spans the fields of Neuroscience, Computer Science, and Engineering, reflecting a multidisciplinary approach to scientific investigation.

The main subfields of study for Morabito include Cognitive Neuroscience, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Biomedical Engineering.

Morabito's research focuses on several topics:

  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Advanced Neural Network Applications
  • Industrial Vision Systems and Defect Detection
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • COVID-19 diagnosis using AI

Frequent co-authors in their work include Nadia Mammone, Cosimo Ieracitano, Mario Versaci, Amir Hussain, and Michele Lo Giudice.

Morabito has contributed extensively to several publication venues, with a notable presence in:

  • International Journal of Neural Systems
  • Sensors
  • arXiv (Cornell University)
  • Neural Networks
  • Neurocomputing

Their recent papers demonstrate a focus on applications of artificial intelligence and fuzzy logic in biomedical and neural signal processing contexts. Key papers include:

  • "Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence," 2021, International Journal of Fuzzy Systems
  • "A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level," 2020, Neural Networks
  • "A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images," 2022, Neurocomputing
  • "A novel explainable machine learning approach for EEG-based brain-computer interface systems," 2021, Neural Computing and Applications
  • "A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers," 2021, IEEE/CAA Journal of Automatica Sinica

Morabito has also authored books published by Springer Nature and Springer Science+Business Media. Notable titles include:

  • "Progresses in Artificial Intelligence and Neural Systems," 2020
  • "Applications of Artificial Intelligence and Neural Systems to Data Science," 2023
  • "The Use of Artificial Intelligence for Space Applications," 2023
  • "Applied Intelligence and Informatics," 2022

Best Publications

  • Image fusion techniques for remote sensing applications

    Giovanni Simone;Alfonso Farina;Francesco Carlo Morabito;Sebastiano B. Serpico

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

    Cosimo Ieracitano;Nadia Mammone;Amir Hussain;Francesco Carlo Morabito

  • Automatic Artifact Rejection From Multichannel Scalp EEG by Wavelet ICA

    N. Mammone;F. La Foresta;F. C. Morabito

  • Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer’s Disease EEG

    Francesco Carlo Morabito;Domenico Labate;Fabio La Foresta;Alessia Bramanti

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

    Cosimo Ieracitano;Nadia Mammone;Alessia Bramanti;Amir Hussain

  • A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

    Cosimo Ieracitano;Ahsan Adeel;Francesco Carlo Morabito;Amir Hussain

  • Empirical Mode Decomposition vs. Wavelet Decomposition for the Extraction of Respiratory Signal From Single-Channel ECG: A Comparison

    Domenico Labate;Fabio La Foresta;Gianluigi Occhiuto;Francesco Carlo Morabito

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

    Francesco Carlo Morabito;Maurizio Campolo;Cosimo Ieracitano;Javad Mohammad Ebadi

  • Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence

    Mario Versaci;Francesco Carlo Morabito

  • 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 Carlo Morabito

  • Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings

    G. Inuso;F. La Foresta;N. Mammone;F.C. Morabito

  • Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia

    Francesco Carlo Morabito;Maurizio Campolo;Nadia Mammone;Mario Versaci

  • A longitudinal EEG study of Alzheimer's disease progression based on a complex network approach.

    Francesco Carlo Morabito;Maurizio Campolo;Domenico Labate;Giuseppe Morabito

  • Entropic Measures of EEG Complexity in Alzheimer's Disease Through a Multivariate Multiscale Approach

    Domenico Labate;Fabio La Foresta;Giuseppe Morabito;Isabella Palamara

  • Neural-ICA and wavelet transform for artifacts removal in surface EMG

    B. Azzerboni;M. Carpentieri;F. La Foresta;F.C. Morabito

  • A novel methodology for automated differential diagnosis of mild cognitive impairment and the Alzheimer's disease using EEG signals.

    Juan P. Amezquita-Sanchez;Nadia Mammone;Francesco C. Morabito;Silvia Marino

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

    Cosimo Ieracitano;Nadia Mammone;Amir Hussain;Francesco Carlo Morabito

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

    Nadia Mammone;Simona De Salvo;Lilla Bonanno;Cosimo Ieracitano

  • A New Approach Based On Wavelet-ICA Algorithms For Fetal Electrocardiogram Extraction

    Bruno Azzerboni;Fabio La Foresta;Nadia Mammone;Francesco Carlo Morabito

  • Artificial Intelligence in the Age of Neural Networks and Brain Computing

    R. Kozma;C. Alippi;Y. Choe;F. C. Morabito

Frequent Co-Authors

Umberto Aguglia
Umberto Aguglia Magna Graecia University
Amir Hussain
Amir Hussain Edinburgh Napier University
Silvia Marino
Silvia Marino Queen Mary University of London
Nikola Kasabov
Nikola Kasabov Auckland University of Technology
Marcos Faundez-Zanuy
Marcos Faundez-Zanuy Pompeu Fabra University
Anna Spada
Anna Spada University of Milan
Antonio Gambardella
Antonio Gambardella Magna Graecia University
Edoardo Ferlazzo
Edoardo Ferlazzo Magna Graecia University
Angelo Labate
Angelo Labate Magna Graecia University
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)

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