Maurizio Campolo

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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.

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.

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.

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture

Francesco Carlo Morabito, Jonas Duun-Henriksen, Nikola K. Kasabov, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

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..

Environmental Time Series Prediction by Improved Classical Feed-Forward Neural Networks

Francesco Carlo Morabito, Narcís Clara, Maurizio Campolo, 2005, WIRN/NAIS.

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).

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).

Advances in neural network non-destructive testing

Francesco Carlo Morabito, Maurizio Campolo, 1994 .

Neural Network Approaches To The Processing of Experimental Electro-Myographic Data from Non-Invasive Sensors

Francesco Carlo Morabito, Maurizio Campolo, 2003 .

Ill-posed problems in electromagnetics: advantages of neuro-fuzzy approaches

Francesco Carlo Morabito, Maurizio Campolo, 1996, 1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report.

Intelligent systems for the extraction of information from Eddy current testing data

Francesco Carlo Morabito, Maurizio Campolo, 1997 .

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.

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..

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

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

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.

A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem

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

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).

Quantifying the Complexity of Epileptic EEG

Francesco Carlo Morabito, Jonas Duun-Henriksen, Fabio La Foresta, 2016, Advances in Neural Networks.

Location of plural defects in conductive plates via neural networks

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