F. Morabito

发表

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

Francesco Carlo Morabito, Domenico Labate, Fabio La Foresta, 2013, IEEE Sensors Journal.

Complexity Analysis of Alzheimer Disease EEG Data through Multiscale Permutation Entropy

D. Labate, G. Morabito, I. Palamara, 2012 .

Enhanced Compressibility of EEG Signal in Alzheimer's Disease Patients

Francesco Carlo Morabito, Domenico Labate, Alessia Bramanti, 2013, IEEE Sensors Journal.

Fuzzy time series approach for disruption prediction in Tokamak reactors

F. Morabito, M. Versaci, 2003 .

FEA Design and Misfit Minimization for In-Depth Flaw Characterization in Metallic Plates With Eddy Current Nondestructive Testing

M. Cacciola, S. Calcagno, M. Versaci, 2009, IEEE Transactions on Magnetics.

Location of plural defects in conductive plates via neural networks

Francesco Carlo Morabito, Maurizio Campolo, F. Morabito, 1995 .

Image Fusion Techniques for Remote Sensing Applications Image Fusion Techniques for Remote Sensing Applications Authors: Image Fusion Techniques for Remote Sensing Applications

A. Farina, L. Bruzzone, F. Morabito, 2002 .

Multifrequency and Multiresolution Fusion of SAR Images for Remote Sensing Applications

G. Simone, F. C. Morabito, F. Morabito, 2001 .

Singular value decomposition processing of magneto-optic images for flawed rivet identification in ageing aircrafts

Lalita Udpa, Francesco Carlo Morabito, Mario Versaci, 2009 .

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).

Advances in Signal Processing to Reduce Lift-off Noise in Eddy Current Tests

Francesco Carlo Morabito, Mario Versaci, Vincenzo Barrile, 2007 .

Reconstructing the membrane detection of a 1D electrostatic-driven MEMS device by the shooting method: convergence analysis and ghost solutions identification

Mario Versaci, Alessandra Jannelli, Giovanni Angiulli, 2018 .

A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data

Nikola Kasabov, Francesco Carlo Morabito, Domenico Labate, 2015, Advances in Neural Networks.

PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2009, Biomed. Signal Process. Control..

Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography

Francesco Carlo Morabito, Jonas Duun-Henriksen, Fabio La Foresta, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Are Hybrid Fuzzy-Neural Systems Actually Useful in Plasma Engineering?

Francesco Carlo Morabito, Maurizio Campolo, F. Morabito, 1998 .

Мanagement of uncertainty in environmental problems: an assesment of technical aspects and policies

F. C. Morabito, D. Marino, B. Ricca, 2001 .

Dynamical Reconstruction of Road Longitudinal Profiles: A Theoretical and Experimental Study

F. Morabito, M. Versaci, Domenico Costantino, 2012 .

Soft Computing and Chaos Theory for Disruption Prediction in Tokamak Reactors

F. Morabito, M. Versaci, M. Cacciola, 2008 .

Dynamical analysis for flaw shape identification in non linear eddy current tests

F. Morabito, M. Versaci, M. Cacciola, 2007 .

Curvature-Dependent Electrostatic Field as a Principle for Modelling Membrane-Based MEMS Devices. A Review

F. Morabito, M. Versaci, P. di Barba, 2020, Membranes.

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.

Accounting for Creativity Discovery of Concept Cells Neural Networks Abstraction Capability Early Detection of Alzheimer’s Onset

A. Bramanti, D. Labate, F. Morabito, 2011 .

A Complex Network Approach to Crisis Recovering in Sport Applications

F. Morabito, 2010 .

On the Use of Fuzzy Inference Systems and Support Vector Machines for Classifying Defects in Metallic Plates

M. Buonsanti, F. Morabito, M. Cacciola, 2006 .

Compressibility of High-Density EEG Signals in Stroke Patients

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

Bioelectric Activity Evaluation of Fetal Heart Muscle by Mother ECG Processing

F. La Foresta, F. Morabito, N. Mammone, 2006, 2006 12th Biennial IEEE Conference on Electromagnetic Field Computation.

Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2004, ESANN.

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).

Evaluation of Defects in Multilayer Carbon Fibre Epoxy for Aeronautics Applications

M. Buonsanti, F. Morabito, M. Versaci, 2009 .

The Next Generation of eHealth: A Multidisciplinary Survey

F. Rinaldi, G. Araniti, F. Morabito, 2022, IEEE Access.

Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy

Francesco Carlo Morabito, Nadia Mammone, F. Morabito, 2008, Neural Networks.

Automatic fuzzy based identification of flawed rivet in Magneto Optic Images

Lalita Udpa, Francesco Carlo Morabito, Mario Versaci, 2008 .

Findings about LORETA Applied to High-Density EEG—A Review

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2020, Electronics.

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 New dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms

H. Adeli, J. Amezquita-Sanchez, F. Morabito, 2020, Clinical Neurology and Neurosurgery.

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.

Leveraging network analysis to support experts in their analyses of subjects with MCI and AD

Francesco Carlo Morabito, Domenico Ursino, Luca Virgili, 2019, Medical & Biological Engineering & Computing.

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.

Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients

Francesco Carlo Morabito, Alessia Bramanti, Nadia Mammone, 2017, Int. J. Neural Syst..

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.

Redefining Information Processing Through Neural Computing Models

Anna Esposito, Francesco Carlo Morabito, Marcos Faundez-Zanuy, 2018, Multidisciplinary Approaches to Neural Computing.

A novel statistical analysis and autoencoder driven intelligent intrusion detection approach

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

Image fusion techniques for remote sensing applications

Lorenzo Bruzzone, Sebastiano B. Serpico, Francesco Carlo Morabito, 2002, Inf. Fusion.

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

Francesco Carlo Morabito, Domenico Labate, Giuseppe Morabito, 2012, Entropy.

Computational Intelligence in Electromagnetics

F. C. Morabito, F. Morabito, 1997 .

A neural network approach for the reduction of the dimensionality of slowly time-varying electromagnetic inverse problems

Francesco Carlo Morabito, E. Coccorese, F. Morabito, 1996 .

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

F.C. Morabito, B. Azzerboni, M. Carpentieri, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Neural networks and Cao's method: A novel approach for air pollutants time series forecasting

Francesco Carlo Morabito, Mario Versaci, S. Marra, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Asymmetry of Permutation Entropy in Early Creutzfeldt-Jakob Disease: A Clue to a Specific Pathological Process?

Giovanbattista Gaspare Tripodi, D. Labate, F. Morabito, 2015 .

Advances in medical decision support systems for diagnosis of acute graft-versus-host disease: molecular and computational intelligence joint approaches

Francesco Carlo Morabito, Maurizio Fiasché, Maria Cuzzola, 2011, Frontiers in Biology.

Remote Sensing Imagery for Soil Characterization: a Wavelet Neural Data Fusion Approach

Francesco Carlo Morabito, Vincenzo Barrile, Matteo Cacciola, 2009, WIRN.

Electrostatic Circular Membrane MEMS: An Approach to the Optimal Control

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2021, Comput..

Feature extraction techniques for ultrasonic signal classification

Satish S. Udpa, Lalita Udpa, Francesco Carlo Morabito, 2002 .

A neural network approach for the solution of electric and magnetic inverse problems

F. Morabito, R. Martone, E. Coccorese, 1994 .

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.

Testing Graph Robustness Indexes for EEG Analysis in Alzheimer’s Disease Diagnosis

F. La Foresta, F. Morabito, D. Rosaci, 2021, Electronics.

High-Density EEG Signal Processing Based on Active-Source Reconstruction for Brain Network Analysis in Alzheimer’s Disease

Francesco Carlo Morabito, Fabio La Foresta, Silvia Marino, 2019, Electronics.

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.

eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer's Disease

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2017, IIH-MSP.

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).

A Longitudinal EEG Study of Alzheimer's Disease Progression Based on A Complex Network Approach

Francesco Carlo Morabito, Domenico Labate, Giuseppe Morabito, 2015, Int. J. Neural Syst..

On the Use of Empirical Mode Decomposition (EMD) for Alzheimer's Disease Diagnosis

Francesco Carlo Morabito, Domenico Labate, Giuseppe Morabito, 2015, Advances in Neural Networks.

Complexity as Interplay Between Science and Sport

Francesco Carlo Morabito, F. Morabito, 2015 .

Effects of Artifacts Rejection on EEG Complexity in Alzheimer's Disease

Francesco Carlo Morabito, Domenico Labate, Fabio La Foresta, 2015, Advances in Neural Networks.

EEG Complexity Modifications and Altered Compressibility in Mild Cognitive Impairment and Alzheimer's Disease

Zhilin Zhang, Francesco Carlo Morabito, Domenico Labate, 2013, WIRN.

Revealing Bioelectric Muscle Activity Corrupted by Superimposed Magnetic Resonance Field

F.C. Morabito, B. Azzerboni, F. La Foresta, 2006, IEEE Transactions on Magnetics.

Permutation entropy of scalp EEG: A tool to investigate epilepsies Suggestions from absence epilepsies

Francesco Carlo Morabito, Nadia Mammone, Antonio Gambardella, 2014, Clinical Neurophysiology.

Neural Approaches to Dynamics of Signal Exchanges

Anna Esposito, Francesco Carlo Morabito, Eros Gian Alessandro Pasero, 2020, Smart Innovation, Systems and Technologies.

MEMS with fringing field: curvature-dependent electrostatic field and numerical techniques for recovering the membrane profile

Francesco Carlo Morabito, Mario Versaci, Paolo Di Barba, 2021, Computational and Applied Mathematics.

Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal

Francesco Carlo Morabito, Nadia Mammone, F. Morabito, 2014, Entropy.

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

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

Frontiers in Artificial Intelligence

Bruno Apolloni, Simone Bassis, Anna Esposito, 2011 .

A Semi-Linear Elliptic Model for a Circular Membrane MEMS Device Considering the Effect of the Fringing Field

Francesco Carlo Morabito, Mario Versaci, Alessandra Jannelli, 2021, Sensors.

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).

Numerical Approaches for Recovering the Deformable Membrane Profile of Electrostatic Microdevices for Biomedical Applications

F. Morabito, M. Versaci, 2023, Sensors.

Artificial Neural Networks and Multi-Class Support Vector Machines for Classifying Magnetic Measurements in Tokamak Reactors

Francesco Carlo Morabito, Nadia Mammone, Antonino Greco, 2008 .

High Speed, Programmable Implementation of a Tanh-like Activation Function and Its Derivative for Digital Neural Networks

Francesco Carlo Morabito, Maria Antonia Iachino, Salvatore Marra, 2007, 2007 International Joint Conference on Neural Networks.

A Comparison between Soft Computing and Statistic Approaches to Identify Plasma Columns in Tokamak Reactors

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

An Exhaustive Employment of Neural Networks to Search the Better Configuration of Magnetic Signals in ITER Machine

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2006, ICONIP.

Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2007, IEC.

The Brain and Creativity

Francesco Carlo Morabito, Matteo Cacciola, Gianluigi Occhiuto, 2014 .

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.

Real-Time Artifacts Reduction during TMS-EEG Co-Registration: A Comprehensive Review on Technologies and Procedures

Mufti Mahmud, Francesco Carlo Morabito, Amir Hussain, 2021, Sensors.

Image Contrast Enhancement by Distances Among Points in Fuzzy Hyper-Cubes

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015, CAIP.

Mutual information for measuring independence of STLmax time series in the epileptic brain

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

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.

Fuzzy geometrical approach based on unit hyper-cubes for image contrast enhancement

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015, 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Innovative Fuzzy Techniques for Characterizing Defects in Ultrasonic Nondestructive Evaluation

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015 .

Fuzzy Geometrical Techniques for Characterizing Defects in Ultrasonic Non-destructive Evaluation

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015 .

Standard Soft Computing Techniques for Characterization of Defects in Nondestructive Evaluation

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2015 .

FUZZY CHARACTERIZATION OF FLAWED METALLIC PLATES WITH EDDY CURRENT TESTS

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2007 .

A novel approach for detecting and classifying defects in metallic plates

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2003 .

Fuzzy neural identification and forecasting techniques to process experimental urban air pollution data

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2003, Neural Networks.

Neuro-fuzzy estimation of plasma boundary in ITER configuration

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Prediction and estimation of atmospheric pollutant levels by soft computing approach

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

Knowledge Discovery and Risk Prediction for Chronic Diseases: An Integrated Approach

Francesco Carlo Morabito, Maurizio Fiasché, Maria Cuzzola, 2011, EANN/AIAI.

Ontology Based Personalized Modeling for Type 2 Diabetes Risk Analysis: An Integrated Approach

Francesco Carlo Morabito, Nikola K. Kasabov, Maurizio Fiasché, 2009, ICONIP.

Solar Activity Forecasting by Incorporating Prior Knowledge from Nonlinear Dynamics into Neural Networks

Francesco Carlo Morabito, Salvatore Marra, F. Morabito, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Design of neural predictors using tools of chaos theory and Bayesian learning

S. Marra, F.C. Morabito, M. Versaci, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Creative brain and abstract art: A quantitative study on Kandinskij paintings

Francesco Carlo Morabito, Matteo Cacciola, Gianluigi Occhiuto, 2011, The 2011 International Joint Conference on Neural Networks.

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..

Plasma Current, Shape, and Position Control in ITER

Alfredo Pironti, Francesco Carlo Morabito, G. Ambrosino, 1996 .

Incremental - Adaptive - Knowledge Based - Learning for Informative Rules Extraction in Classification Analysis of aGvHD

Francesco Carlo Morabito, Maurizio Fiasché, Maria Cuzzola, 2011, EANN/AIAI.

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

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2021, International Journal of Fuzzy Systems.

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

Patrizia Vergallo, Francesco Carlo Morabito, Domenico Labate, 2013, IEEE Sensors Journal.

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.

Evolution Characterization of Alzheimer's Disease Using eLORETA's Three-Dimensional Distribution of the Current Density and Small-World Network

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2017, Quantifying and Processing Biomedical and Behavioral Signals.

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.

A network analysis based approach to characterizing periodic sharp wave complexes in electroencephalograms of patients with sporadic CJD

Francesco Carlo Morabito, Domenico Ursino, Paolo Lo Giudice, 2019, Int. J. Medical Informatics.

Usage of network analysis to investigate Periodic Sharp Wave Complexes in EEGs of patients with sporadic CJD

Francesco Carlo Morabito, Domenico Ursino, Paolo Lo Giudice, 2017, SEBD.

Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2007, 2007 International Joint Conference on Neural Networks.

Multiresolution ICA for Artifact Identification from Electroencephalographic Recordings

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2007, KES.

Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter

Francesco Carlo Morabito, Fabio La Foresta, Nadia Mammone, 2005, WIRN/NAIS.

A Comparison of ICA Algorithms in Biomedical Signal Processing

Francesco Carlo Morabito, Fabio La Foresta, Bruno Azzerboni, 2004, WIRN.

Dynamical Reconstruction and Chaos for Disruption Prediction in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2004, WIRN.

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Heuristic Enhancement of Magneto-Optical Images for NDE

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2010, EURASIP J. Adv. Signal Process..

Effect of Sensor Density on eLORETA Source Localization Accuracy

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

STLmax joint Mutual Information for quantifying independence in the epileptic brain

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, WIRN.

Advanced use of soft computing and eddy current test to evaluate mechanical integrity of metallic plates

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2007 .

Necking Phenomena in Thin Metallic Sheets: Experimental Tests and Computational Analysis

F. Morabito, M. Versaci, S. Calcagno, 2007 .

A GMR–ECT based embedded solution for applications on PCB inspections

Francesco Carlo Morabito, Matteo Cacciola, Giuseppe Megali, 2011 .

The compressibility of an electroencephalography signal may indicate Alzheimer's disease

Francesco Carlo Morabito, F. Morabito, 2013 .

Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model

Francesco Carlo Morabito, Nikola K. Kasabov, Elisa Capecci, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Adaptive Image Contrast Enhancement by Computing Distances into a 4-Dimensional Fuzzy Unit Hypercube

Francesco Carlo Morabito, Mario Versaci, Giovanni Angiulli, 2017, IEEE Access.

Optical Performance Evaluation of Oil Spill Detection Methods: Thickness and Extent

Alessandro Massaro, Aimé Lay-Ekuakille, Francesco Carlo Morabito, 2012, IEEE Transactions on Instrumentation and Measurement.

KRYLOV'S SUBSPACES ITERATIVE METHODS TO EVALUATE ELECTROSTATIC PARAMETERS

F. Morabito, M. Versaci, G. Angiulli, 2014 .

Some Notes on Computational and Theoretical Issues in Artificial Intelligence and Machine Learning

Simone Bassis, Anna Esposito, Francesco Carlo Morabito, 2016, Advances in Neural Networks.

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

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2017, Int. J. Neural Syst..

Automatic Artifact Rejection From Multichannel Scalp EEG by Wavelet ICA

F. La Foresta, N. Mammone, F. C. Morabito, 2012, IEEE Sensors Journal.

Neural Networks for the Parameters Characterization of ECG Dynamical Model

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2009, WIRN.

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).

RBFNN-based hole identification system in conducting plates

Francesco Carlo Morabito, Giovanni Simone, F. Morabito, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

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

Juan P. Amezquita-Sanchez, Hojjat Adeli, Nadia Mammone, 2019, Journal of Neuroscience Methods.

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

EC MODELLING AND ENHANCEMENT SIGNALS IN CFRP INSPECTION

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2010 .

Eddy Current Modeling in Composite Materials

M. Cacciola, F. C. Morabito, S. Calcagno, 2009 .

Recent Advances in Nonlinear Speech Processing

Marcos Faundez-Zanuy, Gennaro Cordasco, Anna Esposito, 2016, Smart Innovation, Systems and Technologies.

Leveraging network analysis to support experts in their analyses of subjects with MCI and AD

Rocco Giuseppe Pizzimenti, F. Morabito, D. Ursino, 2019, Medical and Biological Engineering and Computing.

SVM classification of epileptic EEG recordings through multiscale permutation entropy

Francesco Carlo Morabito, Domenico Labate, Giuseppe Morabito, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Monitoring and diagnosis of Alzheimer's disease using noninvasive compressive sensing EEG

Francesco Carlo Morabito, Domenico Labate, Giuseppe Morabito, 2013, Defense, Security, and Sensing.

Modelling of implantable sensor packaging based on biocompatible polymers

M. Cacciola, D. Caratelli, F.C. Morabito, 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects

F. Morabito, E. Ferlazzo, U. Aguglia, 2022, International Journal of Environmental Research and Public Health.

A comparison between neural networks and k-nearest neighbours for blood cells taxonomy

Francesco Carlo Morabito, Mario Versaci, Matteo Cacciola, 2010, Memetic Comput..

Assessing Reliability and Potentiality of Nonnuclear Portable Devices for Asphalt Mixture Density Measurement

Filippo Giammaria Praticò, A Moro, M. Cacciola, 2010 .

Joint use of eddy current imaging and fuzzy similarities to assess the integrity of steel plates

Francesco Carlo Morabito, Mario Versaci, Giovanni Angiulli, 2020, Open Physics.

Neural Nets and Surroundings: 22nd Italian Workshop on Neural Nets, WIRN 2012, May 17-19, Vietri sul Mare, Salerno, Italy

Bruno Apolloni, Simone Bassis, Anna Esposito, 2012 .

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.

An Ensemble Based Classification Approach for Persian Sentiment Analysis

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

Visualization and modelling of STLmax topographic brain activity maps

Nadia Mammone, J. Chris Sackellares, Francesco C. Morabito, 2010, Journal of Neuroscience Methods.

Computational intelligence aspects for defect classification in aeronautic composites by using ultrasonic pulses

M. Cacciola, F.C. Morabito, S. Calcagno, 2008, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

Neural Network Design using a Virtual Reality Platform 1

F. Morabito, L. Bibbò, 2022 .

Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection pdf

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

Guest Editorial Special Issue on Sensors and Sensing Systems for Neurophysiology

Francesco Carlo Morabito, Aime Lay-Ekuakille, Harold H. Szu, 2013 .

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.

Experimental infrared measurements for hydrocarbon pollutant determination in subterranean waters.

Francesco Carlo Morabito, Isabella Palamara, Aime Lay-Ekuakille, 2013, The Review of scientific instruments.

ECG-derived respiratory signal using Empirical Mode Decomposition

F.C. Morabito, A. Lay-Ekuakille, F. La Foresta, 2011, 2011 IEEE International Symposium on Medical Measurements and Applications.

Processing Nonlinearities

Anna Esposito, Francesco Carlo Morabito, Marcos Faúndez-Zanuy, 2018, Neural Advances in Processing Nonlinear Dynamic Signals.

Neural Feature Extraction for the Analysis of Parkinsonian Patient Handwriting

Giansalvo Cirrincione, Francesco Carlo Morabito, Annunziata Paviglianiti, 2017, IIH-MSP.

Neural Network Approach for Estimation and Prediction of Time to Disruption in Tokamak Reactors

Francesco Carlo Morabito, Mario Versaci, Antonino Greco, 2003, WIRN.

A Morlet wavelet classification technique for ICA filtered sEMG experimental data

Francesco Carlo Morabito, Mario Versaci, Antonino Greco, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Advanced deep learning methods for biomedical information analysis: An editorial

Francesco Carlo Morabito, Dinggang Shen, Khan Muhammad, 2020, Neural Networks.

Advanced Integration of Neural Networks for Characterizing Voids in Welded Strips

Salvatore Calcagno, Francesco Carlo Morabito, Mario Versaci, 2009, ICANN.

Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering

Francesco Carlo Morabito, Nadia Mammone, F. Morabito, 2011, The 2011 International Joint Conference on Neural Networks.

Support vector machines and eddy-current tests for flaws characterisation in thin metallic plates

M. Cacciola, Salvatore Calcagno, Francesco Carlo Morabito, 2005 .

Artistic Complexity and Saliency: Two Faces of the same Coin?

Francesco Carlo Morabito, Matteo Cacciola, Gianluigi Occhiuto, 2013, Int. J. Inf. Acquis..

23rd Italian Workshop on Neural Networks

Bruno Apolloni, Simone Bassis, Anna Esposito, 2013 .

Brain Activity Investigation by EEG Processing: Wavelet Analysis, Kurtosis and Renyi's Entropy for Artifact Detection

F.C. Morabito, F. La Foresta, N. Mammone, 2007, 2007 International Conference on Information Acquisition.

Remarks about Wavelet Analysis in the EEG Artifacts Detection

Francesco Carlo Morabito, Domenico Labate, Fabio La Foresta, 2011, WIRN.

Wavelet neural network processing of urban air pollution

Francesco Carlo Morabito, Mario Versaci, F. Morabito, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Recent Advances in Nonlinear Speech Processing: Directions and Challenges

Marcos Faundez-Zanuy, Gennaro Cordasco, Anna Esposito, 2016, Recent Advances in Nonlinear Speech Processing.

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.

Reconstructing the membrane detection of a 1D electrostatic-driven MEMS device by the shooting method: convergence analysis and ghost solutions identification

F. Morabito, M. Versaci, G. Angiulli, 2018, Computational and Applied Mathematics.

On the Classification of EEG Signal by Using an SVM Based Algorithm

Francesco Carlo Morabito, Pierangelo Veltri, Antonio Gambardella, 2018, Multidisciplinary Approaches to Neural Computing.

Kurtosis, Renyi's Entropy and Independent Component Scalp Maps for the Automatic Artifact Rejection from EEG data

Francesco Carlo Morabito, Mario Versaci, Nadia Mammone, 2008 .

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.

Analysis of Absence Seizure Generation using EEG Spatial-Temporal Regularity Measures

Aimé Lay-Ekuakille, Francesco Carlo Morabito, Domenico Labate, 2012, Int. J. Neural Syst..

Clustering of entropy topography in epileptic electroencephalography

Francesco Carlo Morabito, Mario Versaci, Fabio La Foresta, 2009, Neural Computing and Applications.

Fuzzy-neural approaches to the prediction of disruptions in ASDEX Upgrade

Francesco Carlo Morabito, Mario Versaci, G. Pautasso, 2001 .

Heuristic advances in identifying aftershocks in seismic sequences

Francesco Carlo Morabito, Vincenzo Barrile, Matteo Cacciola, 2009, Comput. Geosci..

ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment

A. Tzallas, F. Morabito, N. Mammone, 2024, 2409.00032.

Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications

S. Squartini, Kaizhu Huang, F. Morabito, 2022, Cognitive computation.

Radial Basis Function Neural Networks to Foresee Aftershocks in Seismic Sequences Related to Large Earthquakes

Francesco Carlo Morabito, Vincenzo Barrile, Matteo Cacciola, 2006, ICONIP.