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International Journal of Neural Systems|December 11, 2023
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic SignalsNadia Mammone, Cosimo Ieracitano, Rossella Spataro, et al.Sensors (Basel, Switzerland)|May 27, 2026
An EEG-Based Edge-AI Framework for Alzheimer's and Creutzfeldt-Jakob Disease ClassificationMuhammad Suffian, Cosimo Ieracitano, Nadia Mammone, et al.Frontiers in Neurology|August 4, 2026
EEGDecoder-x: an explainable deep learning framework for cross-subject EEG-based detection of Alzheimer's and Creutzfeldt-Jakob diseaseMuhammad Suffian, Nadia Mammone, Cosimo Ieracitano, et al.Sensors (Basel, Switzerland)|November 28, 2018
Compressibility of High-Density EEG Signals in Stroke PatientsNadia Mammone, Simona De Salvo, Cosimo Ieracitano, et al.Neural Networks : the Official Journal of the International Neural Network Society|October 29, 2024
Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use casesSergi Abadal, Pablo Galván, Alberto Mármol, et al.Entropy (Basel, Switzerland)|December 3, 2020
Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic SeizuresSara Gasparini, Maurizio Campolo, Cosimo Ieracitano, et al.Journal of Dermatological Science|April 7, 2012
Genome-wide association study of skin complex diseasesXuejun ZhangFrontiers of Medicine|January 4, 2014
Exome sequencing greatly expedites the progressive research of Mendelian diseasesXuejun ZhangEntropy (Basel, Switzerland)|January 21, 2022
Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic SeizuresMichele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, et al.Entropy (Basel, Switzerland)|February 25, 2023
A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient ForecastingGiuseppe Varone, Cosimo Ieracitano, Aybike Özyüksel Çiftçioğlu, et al.Pageof 63