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2020 – today
- 2025
[j35]Sergi Abadal
, Pablo Galván, Alberto Mármol, Nadia Mammone, Cosimo Ieracitano, Michele Lo Giudice, Alessandro Salvini, Francesco Carlo Morabito:
Graph neural networks for electroencephalogram analysis: Alzheimer's disease and epilepsy use cases. Neural Networks 181: 106792 (2025)- 2024
- [j34]Cosimo Ieracitano, Nadia Mammone, Fanny Spagnolo, Fabio Frustaci, Stefania Perri, Pasquale Corsonello, Francesco Carlo Morabito:
An explainable embedded neural system for on-board ship detection from optical satellite imagery. Eng. Appl. Artif. Intell. 133: 108517 (2024) - [j33]Nadia Mammone, Cosimo Ieracitano, Rossella Spataro, Christoph Guger, Woosang Cho, Francesco Carlo Morabito:
A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals. Int. J. Neural Syst. 34(2): 2350068:1-2350068:19 (2024) - [c45]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:
Towards a Deep Learning Approach to Discriminate Hereditary Anemias. RTSI 2024: 339-344 - [c44]Cosimo Ieracitano, Daniele Tammaro, Nadia Mammone, Volodymyr Tkachenko, Sara Coppola, Veronica Vespini, Pietro Ferraro, Simonetta Grilli, Francesco Carlo Morabito, Pier Luca Maffettone:
A Deep Learning Approach for the Automatic Video Classification of Silicone Oil Droplet Deformation Induced by Electrohydrodynamic Effect. RTSI 2024: 345-350 - [c43]Claudia Campolo, Nadia Mammone, Antonella Molinaro, Bruno Pizzimenti, Gurtaj Singh, Domenico Mario Zappalà:
Poster: Digital Twins for Personalized and Safer Automated Driving. VNC 2024: 277-278 - [i1]Yihe Wang, Nadia Mammone, Darina Petrovsky, Alexandros T. Tzallas, Francesco Carlo Morabito, Xiang Zhang:
ADformer: A Multi-Granularity Transformer for EEG-Based Alzheimer's Disease Assessment. CoRR abs/2409.00032 (2024) - 2023
- [j32]Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, Francesco Carlo Morabito:
AutoEncoder Filter Bank Common Spatial Patterns to Decode Motor Imagery From EEG. IEEE J. Biomed. Health Informatics 27(5): 2365-2376 (2023) - 2022
- [j31]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, Giuseppe Araniti:
The Next Generation of eHealth: A Multidisciplinary Survey. IEEE Access 10: 134623-134646 (2022) - [j30]Saman Fouladi, Ali A. Safaei, Nadia Mammone, Foad Ghaderi, Mohammad Javad Ebadi:
Efficient Deep Neural Networks for Classification of Alzheimer's Disease and Mild Cognitive Impairment from Scalp EEG Recordings. Cogn. Comput. 14(4): 1247-1268 (2022) - [j29]Cosimo Ieracitano, Francesco Nicoletti, Natale Arcuri, Giuseppe Ruggeri, Mario Versaci, Francesco Carlo Morabito, Nadia Mammone:
A Deep Cognitive Venetian Blinds System for Automatic Estimation of Slat Orientation. Cogn. Comput. 14(6): 2203-2211 (2022) - [j28]Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Giovanbattista Gaspare Tripodi, Edoardo Ferlazzo, Sara Gasparini, Umberto Aguglia, Francesco Carlo Morabito:
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) - [j27]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) - [j26]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, Aziz Sheikh, Giuseppe Sceni, Amir Hussain, Francesco Carlo Morabito:
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images. Neurocomputing 481: 202-215 (2022) - [j25]Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito:
A novel explainable machine learning approach for EEG-based brain-computer interface systems. Neural Comput. Appl. 34(14): 11347-11360 (2022) - [j24]Giuseppe Varone, Wadii Boulila, Michele Lo Giudice, Bilel Benjdira, Nadia Mammone, Cosimo Ieracitano, Kia Dashtipour, Sabrina Neri, Sara Gasparini, Francesco Carlo Morabito, Amir Hussain, Umberto Aguglia:
A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls. Sensors 22(1): 129 (2022) - [c42]Nadia Mammone, Cosimo Ieracitano, Rossella Spataro, Christoph Guger, Woosang Cho, Francesco Carlo Morabito:
Decoding Motor Preparation Through a Deep Learning Approach Based on EEG Time-Frequency Maps. AII 2022: 159-173 - [c41]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 - [c40]Asma Channa, Giuseppe Ruggeri, Nadia Mammone, Rares-Cristian Ifrim, Antonio Iera, Nirvana Popescu:
Parkinson's Disease Severity Estimation using Deep Learning and Cloud Technology. COINS 2022: 1-7 - [c39]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 - [c38]Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Maurizio Campolo, Arcangelo Ranieri Bruna, Valeria Tomaselli, Francesco Carlo Morabito:
Visual Explanations of Deep Convolutional Neural Network for eye blinks detection in EEG-based BCI applications. IJCNN 2022: 1-8 - [e1]Mufti Mahmud, Cosimo Ieracitano, M. Shamim Kaiser, Nadia Mammone, Francesco Carlo Morabito:
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
- [j23]Mario Versaci, Nadia Mammone, Cosimo Ieracitano, Francesco Carlo Morabito:
Micropumps for drug delivery systems: a new semi-linear elliptic boundary-value problem. Comput. Appl. Math. 40(2) (2021) - [j22]Cosimo Ieracitano, Francesco Carlo Morabito, Amir Hussain, Nadia Mammone:
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) - [c37]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 - [c36]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
- [j21]Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito:
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia. Neural Networks 123: 176-190 (2020) - [j20]Nadia Mammone, Cosimo Ieracitano, Francesco Carlo Morabito:
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) - [c35]Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Arcangelo Ranieri Bruna, Valeria Tomaselli, Francesco Carlo Morabito:
1D Convolutional Neural Network approach to classify voluntary eye blinks in EEG signals for BCI applications. IJCNN 2020: 1-7 - [c34]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 - [p10]Cosimo Ieracitano, Fabiola Pantò, Nadia Mammone, Annunziata Paviglianiti, Patrizia Frontera, Francesco Carlo Morabito:
Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach. Neural Approaches to Dynamics of Signal Exchanges 2020: 61-72 - [p9]Serena Dattola, Fabio La Foresta, Lilla Bonanno, Simona De Salvo, Nadia Mammone, Silvia Marino, Francesco Carlo Morabito:
Effect of Sensor Density on eLORETA Source Localization Accuracy. Neural Approaches to Dynamics of Signal Exchanges 2020: 403-414 - [p8]Nadia Mammone, Simona De Salvo, Silvia Marino, Lilla Bonanno, Cosimo Ieracitano, Serena Dattola, Fabio La Foresta, Francesco Carlo Morabito:
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
- [j19]Francesco Cauteruccio, Paolo Lo Giudice, Giorgio Terracina, Domenico Ursino, Nadia Mammone, Francesco Carlo Morabito:
A new network-based approach to investigating neurological disorders. Int. J. Data Min. Model. Manag. 11(4): 315-349 (2019) - [j18]Paolo Lo Giudice, Domenico Ursino, Nadia Mammone, Francesco Carlo Morabito, Umberto Aguglia, Vittoria Cianci, Edoardo Ferlazzo, Sara Gasparini:
A network analysis based approach to characterizing periodic sharp wave complexes in electroencephalograms of patients with sporadic CJD. Int. J. Medical Informatics 121: 19-29 (2019) - [j17]Cosimo Ieracitano, Nadia Mammone, Alessia Bramanti, Amir Hussain, Francesco Carlo Morabito:
A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings. Neurocomputing 323: 96-107 (2019) - [j16]Paolo Lo Giudice, Nadia Mammone, Francesco Carlo Morabito, Rocco Giuseppe Pizzimenti, Domenico Ursino, Luca Virgili:
Leveraging network analysis to support experts in their analyses of subjects with MCI and AD. Medical Biol. Eng. Comput. 57(9): 1961-1983 (2019) - [j15]Nadia Mammone, Simona De Salvo, Lilla Bonanno, Cosimo Ieracitano, Silvia Marino, Angela Marra, Alessia Bramanti, Francesco Carlo Morabito:
Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects. IEEE Trans. Ind. Informatics 15(1): 527-536 (2019) - [c33]Cosimo Ieracitano, Nadia Mammone, Alessia Bramanti, Silvia Marino, Amir Hussain, Francesco Carlo Morabito:
A Time-Frequency based Machine Learning System for Brain States Classification via EEG Signal Processing. IJCNN 2019: 1-8 - [p7]Nadia Mammone, Cosimo Ieracitano, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Francesco Carlo Morabito:
Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals. Quantifying and Processing Biomedical and Behavioral Signals 2019: 143-153 - [p6]Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Serena Dattola, Francesco Carlo Morabito:
Evolution Characterization of Alzheimer's Disease Using eLORETA's Three-Dimensional Distribution of the Current Density and Small-World Network. Quantifying and Processing Biomedical and Behavioral Signals 2019: 155-162 - 2018
- [j14]Nadia Mammone, Gaoxiang Ouyang, Hamed Azami:
Advanced Methods to Analyse the Complexity of the Brain. Complex. 2018: 8971891:1-8971891:2 (2018) - [j13]Sara Gasparini, Maurizio Campolo, Cosimo Ieracitano, Nadia Mammone, Edoardo Ferlazzo, Chiara Sueri, Giovanbattista Gaspare Tripodi, Umberto Aguglia, Francesco Carlo Morabito:
Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures. Entropy 20(2): 43 (2018) - [j12]Nadia Mammone, Simona De Salvo, Cosimo Ieracitano, Silvia Marino, Emanuele Cartella, Alessia Bramanti, Roberto Giorgianni, Francesco Carlo Morabito:
Compressibility of High-Density EEG Signals in Stroke Patients. Sensors 18(12): 4107 (2018) - [j11]Nadia Mammone, Cosimo Ieracitano, Hojjat Adeli, Alessia Bramanti, Francesco Carlo Morabito:
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) - [p5]Cosimo Ieracitano, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito:
Investigating the Brain Connectivity Evolution in AD and MCI Patients Through the EEG Signals' Wavelet Coherence. Multidisciplinary Approaches to Neural Computing 2018: 259-269 - [p4]Nadia Mammone:
Preprocessing the EEG of Alzheimer's Patients to Automatically Remove Artifacts. Multidisciplinary Approaches to Neural Computing 2018: 279-287 - 2017
- [j10]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) - [j9]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, Sara Gasparini, Vittoria Cianci, Chiara Sueri, Edoardo Ferlazzo, Umberto Aguglia:
Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. Int. J. Neural Syst. 27(2): 1650039:1-1650039:15 (2017) - [j8]Nadia Mammone, Lilla Bonanno, Simona De Salvo, Silvia Marino, Placido Bramanti, Alessia Bramanti, Francesco Carlo Morabito:
Permutation Disalignment Index as an Indirect, EEG-Based, Measure of Brain Connectivity in MCI and AD Patients. Int. J. Neural Syst. 27(5): 1750020:1-1750020:19 (2017) - [c32]Cosimo Ieracitano, Annunziata Paviglianiti, Nadia Mammone, Mario Versaci, Eros Pasero, Francesco Carlo Morabito:
SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials. IIH-MSP (1) 2017: 103-113 - [c31]Serena Dattola, Giuseppina Inuso, Nadia Mammone, Lilla Bonanno, Simona De Salvo, Francesco Carlo Morabito, Fabio La Foresta:
eLORETA Active Source Reconstruction Applied to HD-EEG in Alzheimer's Disease. IIH-MSP (1) 2017: 575-583 - [c30]Cosimo Ieracitano, Jonas Duun-Henriksen, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito:
Wavelet coherence-based clustering of EEG signals to estimate the brain connectivity in absence epileptic patients. IJCNN 2017: 1297-1304 - [c29]Paolo Lo Giudice, Nadia Mammone, Francesco Carlo Morabito, Davide Strati, Domenico Ursino:
A complex network-based approach to detecting and characterizing ictal states in patients with Childhood Absence Epilepsy. RTSI 2017: 1-6 - [c28]Paolo Lo Giudice, Nadia Mammone, Francesco Carlo Morabito, Domenico Ursino, Umberto Aguglia, Vittoria Cianci, Edoardo Ferlazzo, Sara Gasparini:
Usage of network analysis to investigate Periodic Sharp Wave Complexes in EEGs of patients with sporadic CJD. SEBD 2017: 1 - 2016
- [c27]Nadia Mammone, Lilla Bonanno, Simona De Salvo, Alessia Bramanti, Placido Bramanti, Hojjat Adeli, Cosimo Ieracitano, Maurizio Campolo, Francesco Carlo Morabito:
Hierarchical clustering of the electroencephalogram spectral coherence to study the changes in brain connectivity in Alzheimer's disease. CEC 2016: 1241-1248 - [c26]Elisa Capecci, Zohreh Gholami Doborjeh, Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito, Nikola K. Kasabov:
Longitudinal study of alzheimer's disease degeneration through EEG data analysis with a NeuCube spiking neural network model. IJCNN 2016: 1360-1366 - [c25]Francesco Carlo Morabito, Maurizio Campolo, Cosimo Ieracitano, Mohammad Javad Ebadi, Lilla Bonanno, Alessia Bramanti, Simona De Salvo, Nadia Mammone, Placido Bramanti:
Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings. RTSI 2016: 1-6 - [p3]Nadia Mammone, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito:
Quantifying the Complexity of Epileptic EEG. Advances in Neural Networks 2016: 223-233 - 2015
- [j7]Nadia Mammone, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Francesco Carlo Morabito:
Differentiating Interictal and Ictal States in Childhood Absence Epilepsy through Permutation Rényi Entropy. Entropy 17(7): 4627-4643 (2015) - [c24]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:
Modelling Absence Epilepsy seizure data in the NeuCube evolving spiking neural network architecture. IJCNN 2015: 1-8 - [c23]Nadia Mammone, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Maurizio Campolo, Fabio La Foresta, Francesco Carlo Morabito:
Learning Vector Quantization and Permutation Entropy to analyse epileptic electroencephalography. IJCNN 2015: 1-6 - [p2]Domenico Labate, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
Effects of Artifacts Rejection on EEG Complexity in Alzheimer's Disease. Advances in Neural Networks 2015: 129-136 - [p1]Elisa Capecci, Francesco Carlo Morabito, Maurizio Campolo, Nadia Mammone, Domenico Labate, Nikola K. Kasabov:
A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer's Disease EEG Data. Advances in Neural Networks 2015: 159-172 - 2014
- [j6]Nadia Mammone, Francesco Carlo Morabito:
Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal. Entropy 16(12): 6553-6572 (2014) - 2013
- [j5]Nadia Mammone, Domenico Labate, Aimé Lay-Ekuakille, Francesco Carlo Morabito:
Erratum: "Analysis of Absence seizure Generation using EEG Spatial-Temporal Regularity Measures". Int. J. Neural Syst. 23(6) (2013) - [c22]Domenico Labate, Isabella Palamara, Nadia Mammone, Giuseppe Morabito, Fabio La Foresta, Francesco Carlo Morabito:
SVM classification of epileptic EEG recordings through multiscale permutation entropy. IJCNN 2013: 1-5 - 2012
- [j4]Nadia Mammone, Domenico Labate, Aimé Lay-Ekuakille, Francesco Carlo Morabito:
Analysis of Absence Seizure Generation using EEG Spatial-Temporal Regularity Measures. Int. J. Neural Syst. 22(6) (2012) - 2011
- [j3]Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco Carlo Morabito:
Clustering of entropy topography in epileptic electroencephalography. Neural Comput. Appl. 20(6): 825-833 (2011) - [c21]Nadia Mammone, Francesco Carlo Morabito:
Analysis of absence seizure EEG via Permutation Entropy spatio-temporal clustering. IJCNN 2011: 1417-1422 - 2010
- [c20]Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito:
Discovering Network Phenomena in the Epileptic Electroencephalography through Permutation Entropy Mapping. WIRN 2010: 260-269
2000 – 2009
- 2009
- [j2]Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
PCA-ICA for automatic identification of critical events in continuous coma-EEG monitoring. Biomed. Signal Process. Control. 4(3): 229-235 (2009) - [c19]Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco Carlo Morabito:
Clustering of Entropy Topography in Epileptic Electroencephalography. EANN 2009: 453-462 - [c18]Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco Carlo Morabito:
Entropy spatial clustering in epileptic EEG. IJCNN 2009: 1981-1986 - [c17]Nadia Mammone, Fabio La Foresta, Giuseppina Inuso, Francesco Carlo Morabito, Umberto Aguglia, Vittoria Cianci:
Algorithms and topographic mapping for epileptic seizures recognition and prediction. WIRN 2009: 261-270 - [c16]Fabio La Foresta, Nadia Mammone, Giuseppina Inuso, Francesco Carlo Morabito:
Dynamic Modeling of Heart Dipole Vector for the ECG and VCG Generation. WIRN 2009: 281-290 - 2008
- [j1]Nadia Mammone, Francesco Carlo Morabito:
Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy. Neural Networks 21(7): 1029-1040 (2008) - [c15]Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci, Umberto Aguglia:
Mutual information for measuring independence of STLmax time series in the epileptic brain. IJCNN 2008: 955-960 - [c14]Nadia Mammone, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci:
STLmax joint Mutual Information for quantifying independence in the epileptic brain. WIRN 2008: 30-39 - [c13]Fabio La Foresta, Nadia Mammone, Giuseppina Inuso, Francesco Carlo Morabito, Andrea Azzerboni:
Multiresolution Minimization of Renyi's Mutual Information for fetal-ECG Extraction. WIRN 2008: 50-59 - 2007
- [c12]Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
Wavelet-ICA methodology for efficient artifact removal from Electroencephalographic recordings. IJCNN 2007: 1524-1529 - [c11]Nadia Mammone, Maurizio Fiasché, Giuseppina Inuso, Fabio La Foresta, Francesco Carlo Morabito, Mario Versaci:
Information Theoretic Learning for Inverse Problem Resolution in Bio-electromagnetism. KES (3) 2007: 414-421 - [c10]Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Francesco Carlo Morabito:
Multiresolution ICA for Artifact Identification from Electroencephalographic Recordings. KES (1) 2007: 680-687 - 2006
- [c9]Nadia Mammone, Francesco Carlo Morabito, José C. Príncipe:
Visualization of the Short Term Maximum Lyapunov Exponent Topography in the Epileptic Brain. EMBC 2006: 4257-4260 - [c8]Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
Analysis of the Automatic Detection of Critical Epochs from coma-EEG by Dominant Components and Features Extraction. EMBC 2006: 5727-5730 - [c7]Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
Automatic Detection of Critical Epochs in coma-EEG Using Independent Component Analysis and Higher Order Statistics. ICONIP (3) 2006: 82-91 - 2005
- [c6]Bruno Azzerboni, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction. ESANN 2005: 193-198 - [c5]Nadia Mammone, Francesco Carlo Morabito:
Independent component analysis and high-order statistics for automatic artifact rejection. IJCNN 2005: 2447-2452 - [c4]Antonino Greco, Nadia Mammone, Francesco Carlo Morabito, Mario Versaci:
Semi-Automatic Artifact Rejection Procedure based on Kurtosis, Renyi's Entropy and Independent Component Scalp Maps. IEC (Prague) 2005: 22-26 - [c3]Antonino Greco, Nadia Mammone, Francesco Carlo Morabito, Mario Versaci:
Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors. IEC (Prague) 2005: 40-44 - [c2]Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
Artifact Cancellation from Electrocardiogram by Mixed Wavelet-ICA Filter. WIRN/NAIS 2005: 78-82 - 2004
- [c1]Bruno Azzerboni, Maurizio Ipsale, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
A Comparison of ICA Algorithms in Biomedical Signal Processing. WIRN 2004: 313-320
Coauthor Index
[j35] [j34] [j33] [c45] [c44] [i1] [j32] [j31] [j29] [j28] [j27] [j26] [j25] [j24] [c42] [c41] [c39] [c38] [e1] [j23] [j22] [c37] [c36] [j21] [j20] [c35] [c34] [p10] [p9] [p8] [j19] [j18] [j17] [j16] [j15] [c33] [p7] [p6] [j13] [j12] [j11] [p5] [j10] [j9] [j8] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [p3] [j7] [c24] [c23] [p2] [p1] [j6] [j5] [c22] [j4] [j3] [c21] [c20] [j2] [c19] [c18] [c17] [c16] [j1] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2025-01-22 21:30 CET by the dblp team
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