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Cosimo Ieracitano
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2020 – today
- 2024
- [j26]Cosimo Ieracitano, Francesco Carlo Morabito, Stefano Squartini
, Kaizhu Huang, Xuelong Li, Mufti Mahmud
Guest Editorial: Advances in Deep Learning for Clinical and Healthcare Applications. Cogn. Comput. 16(3): 1331-1333 (2024) - [j25]Cosimo Ieracitano
An explainable embedded neural system for on-board ship detection from optical satellite imagery. Eng. Appl. Artif. Intell. 133: 108517 (2024) - [j24]Nadia Mammone
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals. Int. J. Neural Syst. 34(2): 2350068:1-2350068:19 (2024) - 2023
- [j23]Giuseppe Varone
A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting. Entropy 25(2): 253 (2023) - [j22]Cosimo Ieracitano
Editorial Topical Collection: "Explainable and Augmented Machine Learning for Biosignals and Biomedical Images". Sensors 23(24): 9722 (2023) - [j21]Nadia Mammone
AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG. IEEE J. Biomed. Health Informatics 27(5): 2365-2376 (2023) - 2022
- [j20]Cosimo Ieracitano
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation. Cogn. Comput. 14(6): 2203-2211 (2022) - [j19]Michele Lo Giudice
Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures. Entropy 24(1): 102 (2022) - [j18]Cosimo Ieracitano, Nadia Mammone, Annunziata Paviglianiti, Francesco Carlo Morabito:
A Conditional Generative Adversarial Network and Transfer Learning-Oriented Anomaly Classification System for Electrospun Nanofibers. Int. J. Neural Syst. 32(12): 2250054:1-2250054:17 (2022) - [j17]Cosimo Ieracitano, Nadia Mammone, Mario Versaci, Giuseppe Varone, Abder-Rahman Ali, Antonio Armentano, Grazia Calabrese, Anna Ferrarelli, Lorena Turano, Carmela Tebala, Zain U. Hussain
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing 481: 202-215 (2022) - [j16]Cosimo Ieracitano
A novel explainable machine learning approach for EEG-based brain-computer interface systems. Neural Comput. Appl. 34(14): 11347-11360 (2022) - [j15]Giuseppe Varone, Wadii Boulila
A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls. Sensors 22(1): 129 (2022) - [c18]Nadia Mammone
Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps. AII 2022: 159-173 - [c17]Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Umberto Aguglia, Danilo P. Mandic, Francesco Carlo Morabito:
Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications. AII 2022: 391-403 - [c16]Mario Versaci, Cosimo Ieracitano, Nadia Mammone, Giuseppe Sceni, Francesco Carlo Morabito:
Detection of Covid-19 Pneumonia from chest X-ray images: joint use of ECovNNet and fuzzy distance. FUZZ-IEEE 2022: 1-8 - [c15]Mufti Mahmud
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder. HCI (8) 2022: 356-370 - [c14]Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Maurizio Campolo, Arcangelo Ranieri Bruna, Valeria Tomaselli
Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications. IJCNN 2022: 1-8 - [e1]Mufti Mahmud
Applied Intelligence and Informatics - Second International Conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, Proceedings. Communications in Computer and Information Science 1724, Springer 2022, ISBN 978-3-031-24800-9 [contents] - 2021
- [j14]Mario Versaci
Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem. Comput. Appl. Math. 40(2) (2021) - [j13]Cosimo Ieracitano, Annunziata Paviglianiti, Maurizio Campolo, Amir Hussain, Eros Pasero
A novel automatic classification system based on hybrid unsupervised and supervised machine learning for electrospun nanofibers. IEEE CAA J. Autom. Sinica 8(1): 64-76 (2021) - [j12]Cosimo Ieracitano
A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources. Int. J. Neural Syst. 31(9): 2150038:1-2150038:20 (2021) - [j11]Imane Guellil, Ahsan Adeel, Faiçal Azouaou, Fodil Benali, Ala-Eddine Hachani, Kia Dashtipour
A Semi-supervised Approach for Sentiment Analysis of Arab(ic+izi) Messages: Application to the Algerian Dialect. SN Comput. Sci. 2(2): 118 (2021) - [c13]Cosimo Ieracitano, Nadia Mammone, Annunziata Paviglianiti, Francesco Carlo Morabito:
Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches. EANN 2021: 244-255 - [c12]Nadia Mammone, Cosimo Ieracitano, Francesco Carlo Morabito:
MPnnet: a Motion Planning Decoding Convolutional Neural Network for EEG-based Brain Computer Interfaces. IJCNN 2021: 1-8 - 2020
- [j10]Lotfi Farah, Amir Hussain, Abdelfateh Kerrouche
A Highly-Efficient Fuzzy-Based Controller With High Reduction Inputs and Membership Functions for a Grid-Connected Photovoltaic System. IEEE Access 8: 163225-163237 (2020) - [j9]Cosimo Ieracitano
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach. Neurocomputing 387: 51-62 (2020) - [j8]Cosimo Ieracitano
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia. Neural Networks 123: 176-190 (2020) - [j7]Nadia Mammone
A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level. Neural Networks 124: 357-372 (2020) - [c11]Michele Lo Giudice
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications. IJCNN 2020: 1-7 - [c10]Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito
A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia. IJCNN 2020: 1-8 - [p4]Cosimo Ieracitano
Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach. Neural Approaches to Dynamics of Signal Exchanges 2020: 61-72 - [p3]Nadia Mammone, Simona De Salvo, Silvia Marino, Lilla Bonanno, Cosimo Ieracitano
Estimating the Asymmetry of Brain Network Organization in Stroke Patients from High-Density EEG Signals. Neural Approaches to Dynamics of Signal Exchanges 2020: 475-483
2010 – 2019
- 2019
- [j6]Cosimo Ieracitano
A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings. Neurocomputing 323: 96-107 (2019) - [j5]Nadia Mammone
Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects. IEEE Trans. Ind. Informatics 15(1): 527-536 (2019) - [c9]Cosimo Ieracitano
A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing. IJCNN 2019: 1-8 - [p2]Nadia Mammone, Cosimo Ieracitano
Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals. Quantifying and Processing Biomedical and Behavioral Signals 2019: 143-153 - [i3]Ahsan Adeel, Mandar Gogate, Saadullah Farooq, Cosimo Ieracitano, Kia Dashtipour, Hadi Larijani, Amir Hussain:
A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. CoRR abs/1909.10353 (2019) - 2018
- [j4]Sara Gasparini, Maurizio Campolo
Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures. Entropy 20(2): 43 (2018) - [j3]Nadia Mammone
Compressibility of High-Density EEG Signals in Stroke Patients. Sensors 18(12): 4107 (2018) - [j2]Nadia Mammone
Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects. IEEE Trans. Neural Networks Learn. Syst. 29(10): 5122-5135 (2018) - [c8]Kia Dashtipour, Mandar Gogate
Exploiting Deep Learning for Persian Sentiment Analysis. BICS 2018: 597-604 - [c7]Cosimo Ieracitano
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. BICS 2018: 759-769 - [p1]Cosimo Ieracitano
Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence. Multidisciplinary Approaches to Neural Computing 2018: 259-269 - [i2]Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Cosimo Ieracitano, Hadi Larijani, Amir Hussain:
Exploiting Deep Learning for Persian Sentiment Analysis. CoRR abs/1808.05077 (2018) - [i1]Cosimo Ieracitano, Ahsan Adeel, Mandar Gogate, Kia Dashtipour, Francesco Carlo Morabito, Hadi Larijani, Ali Raza, Amir Hussain:
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection. CoRR abs/1808.05633 (2018) - 2017
- [j1]Nadia Mammone, Simona De Salvo, Cosimo Ieracitano, Silvia Marino, Angela Marra, Francesco Corallo, Francesco Carlo Morabito:
A Permutation Disalignment Index-Based Complex Network Approach to Evaluate Longitudinal Changes in Brain-Electrical Connectivity. Entropy 19(10): 548 (2017) - [c6]Cosimo Ieracitano
A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofibers. EANN 2017: 27-38 - [c5]Cosimo Ieracitano
SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials. IIH-MSP (1) 2017: 103-113 - [c4]Kia Dashtipour, Cosimo Ieracitano
An Ensemble Based Classification Approach for Persian Sentiment Analysis. IIH-MSP (1) 2017: 207-215 - [c3]Cosimo Ieracitano
Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients. IJCNN 2017: 1297-1304 - 2016
- [c2]Nadia Mammone, Lilla Bonanno
Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease. CEC 2016: 1241-1248 - [c1]Francesco Carlo Morabito
Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings. RTSI 2016: 1-6
Coauthor Index
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last updated on 2024-10-07 21:12 CEST by the dblp team
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