A Comparison of ICA Algorithms in Biomedical Signal Processing. - Bruno Azzerboni; Maurizio Ipsale; Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (WIRN, 2004)

A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction. - Bruno Azzerboni; Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (ESANN, 2005)

Independent component analysis and high-order statistics for automatic artifact rejection. - Nadia Mammone; Francesco Carlo Morabito (IJCNN, 2005)

Semi-Automatic Artifact Rejection Procedure based on Kurtosis, Renyi's Entropy and Independent Component Scalp Maps. - Antonino Greco; Nadia Mammone; Francesco Carlo Morabito; Mario Versaci (IEC (Prague), 2005)

Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors. - Antonino Greco; Nadia Mammone; Francesco Carlo Morabito; Mario Versaci (IEC (Prague), 2005)

Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter. - Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (WIRN/NAIS, 2005)

Analysis of the Automatic Detection of Critical Epochs from coma-EEG by Dominant Components and Features Extraction. - Giuseppina Inuso; Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (EMBC, 2006)

Visualization of the Short Term Maximum Lyapunov Exponent Topography in the Epileptic Brain. - Nadia Mammone; Francesco Carlo Morabito; José C. Príncipe (EMBC, 2006)

Automatic Detection of Critical Epochs in coma-EEG Using Independent Component Analysis and Higher Order Statistics. - Giuseppina Inuso; Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (ICONIP (3), 2006)

Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. - Giuseppina Inuso; Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (IJCNN, 2007)

Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism. - Nadia Mammone; Maurizio Fiasché; Giuseppina Inuso; Fabio La Foresta; Francesco Carlo Morabito; Mario Versaci (KES (3), 2007)

Multiresolution ICA for Artifact Identification from Electroencephalographic Recordings. - Nadia Mammone; Giuseppina Inuso; Fabio La Foresta; Francesco Carlo Morabito (KES (1), 2007)

Mutual information for measuring independence of STLmax time series in the epileptic brain. - Nadia Mammone; Fabio La Foresta; Francesco Carlo Morabito; Mario Versaci; Umberto Aguglia (IJCNN, 2008)

Multiresolution Minimization of Renyi's Mutual Information for fetal-ECG Extraction. - Fabio La Foresta; Nadia Mammone; Giuseppina Inuso; Francesco Carlo Morabito; Andrea Azzerboni (WIRN, 2008)

STLmax joint Mutual Information for quantifying independence in the epileptic brain. - Nadia Mammone; Fabio La Foresta; Francesco Carlo Morabito; Mario Versaci (WIRN, 2008)

Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy. - Nadia Mammone; Francesco Carlo Morabito (Neural Networks, 2008)

Entropy spatial clustering in epileptic EEG. - Nadia Mammone; Giuseppina Inuso; Fabio La Foresta; Mario Versaci; Francesco Carlo Morabito (IJCNN, 2009)

Dynamic Modeling of Heart Dipole Vector for the ECG and VCG Generation. - Fabio La Foresta; Nadia Mammone; Giuseppina Inuso; Francesco Carlo Morabito (WIRN, 2009)

Algorithms and topographic mapping for epileptic seizures recognition and prediction. - Nadia Mammone; Fabio La Foresta; Giuseppina Inuso; Francesco Carlo Morabito; Umberto Aguglia; Vittoria Cianci (WIRN, 2009)

PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring. - Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (Biomed. Signal Process. Control., 2009)

Discovering Network Phenomena in the Epileptic Electroencephalography through Permutation Entropy Mapping. - Nadia Mammone; Fabio La Foresta; Francesco Carlo Morabito (WIRN, 2010)

Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering. - Nadia Mammone; Francesco Carlo Morabito (IJCNN, 2011)

Clustering of entropy topography in epileptic electroencephalography. - Nadia Mammone; Giuseppina Inuso; Fabio La Foresta; Mario Versaci; Francesco Carlo Morabito (Neural Comput. Appl., 2011)

Analysis of Absence Seizure Generation using EEG Spatial-Temporal Regularity Measures. - Nadia Mammone; Domenico Labate; Aimé Lay-Ekuakille; Francesco Carlo Morabito (Int. J. Neural Syst., 2012)

SVM classification of epileptic EEG recordings through multiscale permutation entropy. - Domenico Labate; Isabella Palamara; Nadia Mammone; Giuseppe Morabito; Fabio La Foresta; Francesco Carlo Morabito (IJCNN, 2013)

Erratum: "Analysis of Absence seizure Generation using EEG Spatial-Temporal Regularity Measures". - Nadia Mammone; Domenico Labate; Aimé Lay-Ekuakille; Francesco Carlo Morabito (Int. J. Neural Syst., 2013)

Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal. - Nadia Mammone; Francesco Carlo Morabito (Entropy, 2014)

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)

Differentiating Interictal and Ictal States in Childhood Absence Epilepsy through Permutation Rényi Entropy. - Nadia Mammone; Jonas Duun-Henriksen; Troels Wesenberg Kjaer; Francesco Carlo Morabito (Entropy, 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)

Effects of Artifacts Rejection on EEG Complexity in Alzheimer's Disease. - Domenico Labate; Fabio La Foresta; Nadia Mammone; Francesco Carlo Morabito (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)

Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model. - Elisa Capecci; Zohreh Gholami Doborjeh; Nadia Mammone; Fabio La Foresta; Francesco Carlo Morabito; Nikola K. Kasabov (IJCNN, 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)

eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer's Disease. - Serena Dattola; Giuseppina Inuso; Nadia Mammone; Lilla Bonanno; Simona De Salvo; Francesco Carlo Morabito; Fabio La Foresta (IIH-MSP (1), 2017)

SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials. - Cosimo Ieracitano; Annunziata Paviglianiti; Nadia Mammone; Mario Versaci; Eros Pasero; Francesco Carlo Morabito (IIH-MSP (1), 2017)

Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients. - Cosimo Ieracitano; Jonas Duun-Henriksen; Nadia Mammone; Fabio La Foresta; Francesco Carlo Morabito (IJCNN, 2017)

A complex network-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy. - Paolo Lo Giudice; Nadia Mammone; Francesco Carlo Morabito; Davide Strati; Domenico Ursino (RTSI, 2017)

Usage of network analysis to investigate Periodic Sharp Wave Complexes in EEGs of patients with sporadic CJD. - Paolo Lo Giudice; Nadia Mammone; Francesco Carlo Morabito; Domenico Ursino; Umberto Aguglia; Vittoria Cianci; Edoardo Ferlazzo; Sara Gasparini (SEBD, 2017)

A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity. - Nadia Mammone; Simona De Salvo; Cosimo Ieracitano; Silvia Marino; Angela Marra; Francesco Corallo; Francesco Carlo Morabito (Entropy, 2017)

Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients. - Nadia Mammone; Lilla Bonanno; Simona De Salvo; Silvia Marino; Placido Bramanti; Alessia Bramanti; Francesco Carlo Morabito (Int. J. Neural Syst., 2017)

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)

Advanced Methods to Analyse the Complexity of the Brain. - Nadia Mammone; Gaoxiang Ouyang; Hamed Azami (Complex., 2018)

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)

Compressibility of High-Density EEG Signals in Stroke Patients. - Nadia Mammone; Simona De Salvo; Cosimo Ieracitano; Silvia Marino; Emanuele Cartella; Alessia Bramanti; Roberto Giorgianni; Francesco Carlo Morabito (Sensors, 2018)

Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects. - Nadia Mammone; Cosimo Ieracitano; Hojjat Adeli; Alessia Bramanti; Francesco Carlo Morabito (IEEE Trans. Neural Networks Learn. Syst., 2018)

Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence. - Cosimo Ieracitano; Nadia Mammone; Fabio La Foresta; Francesco Carlo Morabito (Multidisciplinary Approaches to Neural Computing, 2018)

Preprocessing the EEG of Alzheimer's Patients to Automatically Remove Artifacts. - Nadia Mammone (Multidisciplinary Approaches to Neural Computing, 2018)

A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing. - Cosimo Ieracitano; Nadia Mammone; Alessia Bramanti; Silvia Marino; Amir Hussain 001; Francesco Carlo Morabito (IJCNN, 2019)

A new network-based approach to investigating neurological disorders. - Francesco Cauteruccio; Paolo Lo Giudice; Giorgio Terracina; Domenico Ursino; Nadia Mammone; Francesco Carlo Morabito (Int. J. Data Min. Model. Manag., 2019)

A network analysis based approach to characterizing periodic sharp wave complexes in electroencephalograms of patients with sporadic CJD. - Paolo Lo Giudice; Domenico Ursino; Nadia Mammone; Francesco Carlo Morabito; Umberto Aguglia; Vittoria Cianci; Edoardo Ferlazzo; Sara Gasparini (Int. J. Medical Informatics, 2019)

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 001; Francesco Carlo Morabito (Neurocomputing, 2019)

Leveraging network analysis to support experts in their analyses of subjects with MCI and AD. - Paolo Lo Giudice; Nadia Mammone; Francesco Carlo Morabito; Rocco Giuseppe Pizzimenti; Domenico Ursino; Luca Virgili (Medical Biol. Eng. Comput., 2019)

Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects. - Nadia Mammone; Simona De Salvo; Lilla Bonanno; Cosimo Ieracitano; Silvia Marino; Angela Marra; Alessia Bramanti; Francesco Carlo Morabito (IEEE Trans. Ind. Informatics, 2019)

Evolution Characterization of Alzheimer's Disease Using eLORETA's Three-Dimensional Distribution of the Current Density and Small-World Network. - Giuseppina Inuso; Fabio La Foresta; Nadia Mammone; Serena Dattola; Francesco Carlo Morabito (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals. - Nadia Mammone; Cosimo Ieracitano; Jonas Duun-Henriksen; Troels Wesenberg Kjaer; Francesco Carlo Morabito (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications. - Michele Lo Giudice; Giuseppe Varone; Cosimo Ieracitano; Nadia Mammone; Arcangelo Ranieri Bruna; Valeria Tomaselli; Francesco Carlo Morabito (IJCNN, 2020)

A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia. - Cosimo Ieracitano; Nadia Mammone; Amir Hussain 001; Francesco Carlo Morabito (IJCNN, 2020)

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia. - Cosimo Ieracitano; Nadia Mammone; Amir Hussain 001; Francesco Carlo Morabito (Neural Networks, 2020)

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 (Neural Networks, 2020)

Effect of Sensor Density on eLORETA Source Localization Accuracy. - Serena Dattola; Fabio La Foresta; Lilla Bonanno; Simona De Salvo; Nadia Mammone; Silvia Marino; Francesco Carlo Morabito (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach. - Cosimo Ieracitano; Fabiola Pantò; Nadia Mammone; Annunziata Paviglianiti; Patrizia Frontera; Francesco Carlo Morabito (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals. - Nadia Mammone; Simona De Salvo; Silvia Marino; Lilla Bonanno; Cosimo Ieracitano; Serena Dattola; Fabio La Foresta; Francesco Carlo Morabito (Neural Approaches to Dynamics of Signal Exchanges, 2020)

Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches. - Cosimo Ieracitano; Nadia Mammone; Annunziata Paviglianiti; Francesco Carlo Morabito (EANN, 2021)

MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces. - Nadia Mammone; Cosimo Ieracitano; Francesco Carlo Morabito (IJCNN, 2021)

Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem. - Mario Versaci; Nadia Mammone; Cosimo Ieracitano; Francesco Carlo Morabito (Comput. Appl. Math., 2021)

A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources. - Cosimo Ieracitano; Francesco Carlo Morabito; Amir Hussain 001; Nadia Mammone (Int. J. Neural Syst., 2021)

Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications. - Michele Lo Giudice; Nadia Mammone; Cosimo Ieracitano; Umberto Aguglia; Danilo P. Mandic; Francesco Carlo Morabito (AII, 2022)

Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps. - Nadia Mammone; Cosimo Ieracitano; Rossella Spataro; Christoph Guger; Woosang Cho; Francesco Carlo Morabito (AII, 2022)

Parkinson's Disease Severity Estimation using Deep Learning and Cloud Technology. - Asma Channa; Giuseppe Ruggeri; Nadia Mammone; Rares-Cristian Ifrim; Antonio Iera; Nirvana Popescu (COINS, 2022)

Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance. - Mario Versaci; Cosimo Ieracitano; Nadia Mammone; Giuseppe Sceni; Francesco Carlo Morabito (FUZZ-IEEE, 2022)

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)

The Next Generation of eHealth: A Multidisciplinary Survey. - Chiara Suraci; Vincenzo De Angelis; Giuseppina Lofaro; Michele Lo Giudice; Giuseppe Marrara; Federica Rinaldi; Antonia Russo; Martina Teresa Bevacqua; Gianluca Lax; Nadia Mammone; Antonino Mazza Laboccetta; Francesco Carlo Morabito; et al. (IEEE Access, 2022)

Efficient Deep Neural Networks for Classification of Alzheimer's Disease and Mild Cognitive Impairment from Scalp EEG Recordings. - Saman Fouladi; Ali A. Safaei; Nadia Mammone; Foad Ghaderi; Mohammad Javad Ebadi (Cogn. Comput., 2022)

A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation. - Cosimo Ieracitano; Francesco Nicoletti; Natale Arcuri; Giuseppe Ruggeri; Mario Versaci; Francesco Carlo Morabito; Nadia Mammone (Cogn. Comput., 2022)

Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures. - Michele Lo Giudice; Giuseppe Varone; Cosimo Ieracitano; Nadia Mammone; Giovanbattista Gaspare Tripodi; Edoardo Ferlazzo; Sara Gasparini; Umberto Aguglia; Francesco Carlo Morabito (Entropy, 2022)

A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers. - Cosimo Ieracitano; Nadia Mammone; Annunziata Paviglianiti; Francesco Carlo Morabito (Int. J. Neural Syst., 2022)

A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. - Cosimo Ieracitano; Nadia Mammone; Mario Versaci; Giuseppe Varone; Abder-Rahman Ali; Antonio Armentano; Grazia Calabrese; Anna Ferrarelli; Lorena Turano; Carmela Tebala; Zain U. Hussain; Zakariya Sheikh; et al. (Neurocomputing, 2022)

A novel explainable machine learning approach for EEG-based brain-computer interface systems. - Cosimo Ieracitano; Nadia Mammone; Amir Hussain 001; Francesco Carlo Morabito (Neural Comput. Appl., 2022)

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls. - Giuseppe Varone; Wadii Boulila; Michele Lo Giudice; Bilel Benjdira; Nadia Mammone; Cosimo Ieracitano; Kia Dashtipour; Sabrina Neri; Sara Gasparini; Francesco Carlo Morabito; Amir Hussain 001; Umberto Aguglia (Sensors, 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)

A Multi-head CNN for Interictal EEG Classification of Epilepsy and PNES. - Michele Lo Giudice; Nadia Mammone; Umberto Aguglia; Alessandro Salvini; Francesco Carlo Morabito (WIRN, 2023)

AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG. - Nadia Mammone; Cosimo Ieracitano; Hojjat Adeli; Francesco Carlo Morabito (IEEE J. Biomed. Health Informatics, 2023)

A Deep Learning Approach for the Automatic Video Classification of Silicone Oil Droplet Deformation Induced by Electrohydrodynamic Effect. - Cosimo Ieracitano; Daniele Tammaro; Nadia Mammone; Volodymyr Tkachenko; Sara Coppola; Veronica Vespini; Pietro Ferraro; Simonetta Grilli; Francesco Carlo Morabito; Pier Luca Maffettone (RTSI, 2024)

Towards a Deep Learning Approach to Discriminate Hereditary Anemias. - Francesco Carlo Morabito; Cosimo Ieracitano; Nadia Mammone; Marika Valentino; Zhe Wang; Michela Schiavo; Vittorio Bianco; Anthony Iscaro; Antonella Nostroso; Immacolata Andolfo; Roberta Russo; Lisa Miccio (RTSI, 2024)

Poster: Digital Twins for Personalized and Safer Automated Driving. - Claudia Campolo; Nadia Mammone; Antonella Molinaro; Bruno Pizzimenti; Gurtaj Singh; Domenico Mario Zappalà (VNC, 2024)

ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment. - Yihe Wang; Nadia Mammone; Darina Petrovsky; Alexandros T. Tzallas; Francesco Carlo Morabito; Xiang Zhang 012 (CoRR, 2024)

An explainable embedded neural system for on-board ship detection from optical satellite imagery. - Cosimo Ieracitano; Nadia Mammone; Fanny Spagnolo; Fabio Frustaci; Stefania Perri; Pasquale Corsonello; Francesco Carlo Morabito (Eng. Appl. Artif. Intell., 2024)

A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals. - Nadia Mammone; Cosimo Ieracitano; Rossella Spataro; Christoph Guger; Woosang Cho; Francesco Carlo Morabito (Int. J. Neural Syst., 2024)

TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification. - Cosimo Ieracitano; Francesco Carlo Morabito; Amir Hussain 001; Muhammad Suffian Nizami; Nadia Mammone (Neurocomputing, 2025)

Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases. - Sergi Abadal; Pablo Galván; Alberto Mármol; Nadia Mammone; Cosimo Ieracitano; Michele Lo Giudice; Alessandro Salvini; Francesco Carlo Morabito (Neural Networks, 2025)

LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection. - Yihe Wang; Nan Huang 004; Nadia Mammone; Marco Cecchi; Xiang Zhang 012 (CoRR, 2025)