Maurizio Campolo
Orcid: 0000-0003-4197-3661
According to our database1,
Maurizio Campolo
authored at least 14 papers
between 2005 and 2022.
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Bibliography
2022
Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers.
IEEE CAA J. Autom. Sinica, 2021
2018
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures.
Entropy, 2018
2017
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia.
Int. J. Neural Syst., 2017
2016
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016
Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings.
Proceedings of the 2nd IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow, 2016
Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data.
Proceedings of the Advances in Neural Networks: Computational and Theoretical Issues, 2015
A Longitudinal EEG Study of Alzheimer's Disease Progression Based on A Complex Network Approach.
Int. J. Neural Syst., 2015
Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2007
A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
2005
Environmental Time Series Prediction by Improved Classical Feed-Forward Neural Networks.
Proceedings of the Neural Nets, 16th Italian Workshop on Neural Nets, 2005