Environmental Time Series Prediction by Improved Classical Feed-Forward Neural Networks. - Maurizio Campolo; Narcís Clara; Francesco Carlo Morabito (WIRN/NAIS, 2005)

A Kernel Based Learning by Sample Technique for Defect Identification Through the Inversion of a Typical Electric Problem. - Matteo Cacciola; Maurizio Campolo; Fabio La Foresta; Francesco Carlo Morabito; Mario Versaci (KES (3), 2007)

Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. - Elisa Capecci; Josafath Israel Espinosa Ramos; Nadia Mammone; Nikola K. Kasabov; Jonas Duun-Henriksen; Troels Wesenberg Kjaer; Maurizio Campolo; Fabio La Foresta; Francesco Carlo Morabito (IJCNN, 2015)

Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography. - Nadia Mammone; Jonas Duun-Henriksen; Troels Wesenberg Kjaer; Maurizio Campolo; Fabio La Foresta; Francesco Carlo Morabito (IJCNN, 2015)

A Longitudinal EEG Study of Alzheimer's Disease Progression Based on A Complex Network Approach. - Francesco Carlo Morabito; Maurizio Campolo; Domenico Labate; Giuseppe Morabito; Lilla Bonanno; Alessia Bramanti; Simona De Salvo; Angela Marra; Placido Bramanti (Int. J. Neural Syst., 2015)

A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data. - Elisa Capecci; Francesco Carlo Morabito; Maurizio Campolo; Nadia Mammone; Domenico Labate; Nikola K. Kasabov (Advances in Neural Networks, 2015)

Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease. - Nadia Mammone; Lilla Bonanno; Simona De Salvo; Alessia Bramanti; Placido Bramanti; Hojjat Adeli; Cosimo Ieracitano; Maurizio Campolo; Francesco Carlo Morabito (CEC, 2016)

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; Mohammad Javad Ebadi; Lilla Bonanno; Alessia Bramanti; Simona De Salvo; Nadia Mammone; Placido Bramanti (RTSI, 2016)

Quantifying the Complexity of Epileptic EEG. - Nadia Mammone; Jonas Duun-Henriksen; Troels Wesenberg Kjaer; Maurizio Campolo; Fabio La Foresta; Francesco Carlo Morabito (Advances in Neural Networks, 2016)

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; Silvana Franceschetti; Fabrizio Tagliavini; Vito Sofia; Daniela Fatuzzo; Antonio Gambardella; Angelo Labate; Laura Mumoli; Giovanbattista Gaspare Tripodi; et al. (Int. J. Neural Syst., 2017)

Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures. - Sara Gasparini; Maurizio Campolo; Cosimo Ieracitano; Nadia Mammone; Edoardo Ferlazzo; Chiara Sueri; Giovanbattista Gaspare Tripodi; Umberto Aguglia; Francesco Carlo Morabito (Entropy, 2018)

On the Classification of EEG Signal by Using an SVM Based Algorithm. - Valeria Saccá; Maurizio Campolo; Domenico Mirarchi; Antonio Gambardella; Pierangelo Veltri; Francesco Carlo Morabito (Multidisciplinary Approaches to Neural Computing, 2018)

A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers. - Cosimo Ieracitano; Annunziata Paviglianiti; Maurizio Campolo; Amir Hussain 001; Eros Pasero; Francesco Carlo Morabito (IEEE CAA J. Autom. Sinica, 2021)

Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications. - Michele Lo Giudice; Nadia Mammone; Cosimo Ieracitano; Maurizio Campolo; Arcangelo Ranieri Bruna; Valeria Tomaselli; Francesco Carlo Morabito (IJCNN, 2022)

A Deep Neural Model for Embedded Brain-Computer Interfaces Controlled by EEG Signals. - Oleksiy Chepyk; Arcangelo Bruna; Valeria Tomaselli; Nadia Mammone; Maurizio Campolo; Giuseppe Ruggeri; Cosimo Ieracitano; Francesco Carlo Morabito (WIRN, 2023)