Cosimo Ieracitano
Orcid: 0000-0001-7890-2897
According to our database1,
Cosimo Ieracitano
authored at least 47 papers
between 2016 and 2024.
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Bibliography
2024
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals.
Int. J. Neural Syst., February, 2024
2023
Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images".
Sensors, December, 2023
IEEE J. Biomed. Health Informatics, May, 2023
A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting.
Entropy, February, 2023
2022
A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.
Sensors, 2022
A novel explainable machine learning approach for EEG-based brain-computer interface systems.
Neural Comput. Appl., 2022
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images.
Neurocomputing, 2022
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers.
Int. J. Neural Syst., 2022
Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures.
Entropy, 2022
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation.
Cogn. Comput., 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
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022
Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps.
AII, 2022
Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications.
AII, 2022
2021
A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect.
SN Comput. Sci., 2021
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources.
Int. J. Neural Syst., 2021
A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers.
IEEE CAA J. Autom. Sinica, 2021
Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem.
Comput. Appl. Math., 2021
MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces.
Proceedings of the International Joint Conference on Neural Networks, 2021
Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
2020
Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020
A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level.
Neural Networks, 2020
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.
Neural Networks, 2020
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach.
Neurocomputing, 2020
A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System.
IEEE Access, 2020
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019
Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects.
IEEE Trans. Ind. Informatics, 2019
A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings.
Neurocomputing, 2019
CoRR, 2019
A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects.
IEEE Trans. Neural Networks Learn. Syst., 2018
Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures.
Entropy, 2018
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
2017
A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity.
Entropy, 2017
Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials.
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
Proceedings of the Advances in Intelligent Information Hiding and Multimedia Signal Processing, 2017
A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofibers.
Proceedings of the Engineering Applications of Neural Networks, 2017
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