يعرض 1 - 10 نتائج من 17 نتيجة بحث عن '"Mammone A."', وقت الاستعلام: 0.75s تنقيح النتائج
  1. 1
    A novel explainable machine learning approach for EEG-based brain-computer interface systems

    المؤلفون: Nadia Mammone, Amir Hussain, Cosimo Ieracitano, Francesco Carlo Morabito

    مصطلحات موضوعية: 0209 industrial biotechnology, Resting state fMRI, medicine.diagnostic_test, business.industry, Computer science, Deep learning, Longitudinal fissure, Pattern recognition, 02 engineering and technology, Electroencephalography, Convolutional neural network, 020901 industrial engineering & automation, medicine.anatomical_structure, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, medicine, 020201 artificial intelligence & image processing, Artificial intelligence, Primary motor cortex, business, Brain–computer interface, Beamforming, Deep learning, Explainable machine learning, Software, Brain–computer interface, Motor cortex

    وصف الملف: PDF

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03f2154866a595db78e1db27fd66c118Test


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  2. 2
    A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia

    المؤلفون: Amir Hussain, Francesco Carlo Morabito, Nadia Mammone, Cosimo Ieracitano

    المصدر: Neural Networks. 123:176-190

    مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, Cognitive Neuroscience, Wavelet Analysis, Higher-order statistics, 02 engineering and technology, Electroencephalography, Machine learning, computer.software_genre, Machine Learning, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, medicine, Humans, Dementia, Cognitive impairment, medicine.diagnostic_test, business.industry, Deep learning, Human brain, medicine.disease, Perceptron, Autoencoder, Support vector machine, medicine.anatomical_structure, Brain-Computer Interfaces, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Bispectrum

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa8bc28528cd29f344553b730e4d3effTest
    https://doi.org/10.1016/j.neunet.2019.12.006Test


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  3. 3
    A Convolutional Neural Network based self-learning approach for classifying neurodegenerative states from EEG signals in dementia

    المؤلفون: Amir Hussain, Cosimo Ieracitano, Nadia Mammone, Francesco Carlo Morabito

    المصدر: IJCNN

    مصطلحات موضوعية: medicine.diagnostic_test, business.industry, Computer science, Deep learning, Feature extraction, Pattern recognition, 02 engineering and technology, Electroencephalography, medicine.disease, Convolutional neural network, Convolution, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, medicine, Dementia, 020201 artificial intelligence & image processing, Artificial intelligence, business, Cognitive impairment, 030217 neurology & neurosurgery

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::a4dc4eaa9d0900438f0706512223aaadTest
    https://doi.org/10.1109/ijcnn48605.2020.9207167Test


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  4. 4
    SoCNNet: An Optimized Sobel Filter Based Convolutional Neural Network for SEM Images Classification of Nanomaterials

    المؤلفون: Francesco Carlo Morabito, Annunziata Paviglianiti, Nadia Mammone, Eros Pasero, Cosimo Ieracitano, Mario Versaci

    المصدر: Progresses in Artificial Intelligence and Neural Systems ISBN: 9789811550928
    IIH-MSP (1)

    مصطلحات موضوعية: business.industry, Computer science, Deep learning, Nanofibers, Sobel operator, Pattern recognition, Convolutional neural network, Fuzzy logic, Nanomaterials, Nanofibers, Sobel, Laplacian, Fuzzy, Convolutional neural network, Homogeneous, Energy sustainability, Sobel, Artificial intelligence, Laplacian, business, Fuzzy

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b213bfafa76743e2e3e06f986369ff7Test
    http://hdl.handle.net/11583/2849884Test


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  5. 5
    Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach

    المؤلفون: Annunziata Paviglianiti, Nadia Mammone, Francesco Carlo Morabito, Cosimo Ieracitano, Patrizia Frontera, Fabiola Pantò

    المصدر: Neural Approaches to Dynamics of Signal Exchanges ISBN: 9789811389498
    Neural Approaches to Dynamics of Signal Exchanges

    مصطلحات موضوعية: Spectrum analyzer, Computer science, business.industry, Scanning electron microscope, Deep learning, Convolutional neural network, Pattern recognition, Electrospinning, Nanomaterials, SEM images, Nanofiber, Anomaly detection, Artificial intelligence, business

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9edd15e7da45f0597cf24cd6bab7a201Test
    https://doi.org/10.1007/978-981-13-8950-4_7Test


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  6. 6
    A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources

    المؤلفون: Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito

    المصدر: International Journal of Neural Systems. 31:2150038

    مصطلحات موضوعية: Beamforming, medicine.diagnostic_test, Computer Networks and Communications, business.industry, Computer science, Speech recognition, Deep learning, Wavelet transform, Hand motion, Electroencephalography, General Medicine, Domain (software engineering), Machine Learning, Deep Learning, Brain-Computer Interfaces, medicine, Neural system, Neural Networks, Computer, Artificial intelligence, business, Algorithms, Brain–computer interface

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9ed906b9805e96c607ec1bb602bc331Test
    https://doi.org/10.1142/s0129065721500386Test


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  7. 7
    A deep CNN approach to decode motor preparation of upper limbs from time-frequency maps of EEG signals at source level

    المؤلفون: Cosimo Ieracitano, Francesco Carlo Morabito, Nadia Mammone

    المصدر: Neural networks : the official journal of the International Neural Network Society. 124

    مصطلحات موضوعية: Adult, 0209 industrial biotechnology, Computer science, Cognitive Neuroscience, Movement, Models, Neurological, 02 engineering and technology, Electroencephalography, Convolutional neural network, Upper Extremity, 020901 industrial engineering & automation, Deep Learning, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, medicine, Reaction Time, Humans, Brain–computer interface, Motor planning, medicine.diagnostic_test, business.industry, Deep learning, Motor Cortex, Pattern recognition, Brain Waves, Time–frequency analysis, medicine.anatomical_structure, Brain-Computer Interfaces, 020201 artificial intelligence & image processing, Artificial intelligence, business, Motor cortex

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4349f24194414e6693736c7651e75129Test
    https://pubmed.ncbi.nlm.nih.gov/32045838Test


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  8. 8
    A Deep Learning Architecture for Heterogeneous and Irregularly Sampled Remote Sensing Time Series

    المؤلفون: Alessia Tricomi, Corrado Avolio, Massimo Zavagli, Claudio Mammone, Mario Costantini

    المصدر: IGARSS

    مصطلحات موضوعية: Synthetic aperture radar, 010504 meteorology & atmospheric sciences, business.industry, Remote sensing application, Computer science, Deep learning, Multispectral image, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Hyperspectral imaging, Land cover, 010501 environmental sciences, 01 natural sciences, Convolutional neural network, Recurrent neural network, Artificial intelligence, Imputation (statistics), business, Image resolution, 0105 earth and related environmental sciences, Remote sensing

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::36474e95d6c09a54864d44cf8631bdedTest
    https://doi.org/10.1109/igarss.2019.8900467Test


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  9. 9
    A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings

    المؤلفون: Amir Hussain, Nadia Mammone, Francesco Carlo Morabito, Cosimo Ieracitano, Alessia Bramanti

    المصدر: Neurocomputing (Amst.) 323 (2019): 96–107. doi:10.1016/j.neucom.2018.09.071
    info:cnr-pdr/source/autori:Ieracitano, Cosimo; Mammone, Nadia; Bramanti, Alessia; Hussain, Amir; Morabito, Francesco C./titolo:A Convolutional Neural Network approach for classification of dementia stages based on 2D-spectral representation of EEG recordings/doi:10.1016%2Fj.neucom.2018.09.071/rivista:Neurocomputing (Amst.)/anno:2019/pagina_da:96/pagina_a:107/intervallo_pagine:96–107/volume:323

    مصطلحات موضوعية: 0209 industrial biotechnology, Mild Cognitive Impairment, Computer science, Cognitive Neuroscience, Pooling, Convolutional Neural Network, 02 engineering and technology, Electroencephalography, Convolutional neural network, Convolution, 020901 industrial engineering & automation, Artificial Intelligence, Power spectral density, 0202 electrical engineering, electronic engineering, information engineering, medicine, medicine.diagnostic_test, business.industry, Deep learning, Alzheimer's disease, Spectral density, Pattern recognition, Rectifier (neural networks), Computer Science Applications, Binary classification, 020201 artificial intelligence & image processing, Artificial intelligence, business

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be29e84e5c42b0741ac4f35cab7d20e0Test
    http://hdl.handle.net/11386/4771554Test


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  10. 10
    Deep Learning Approaches to Electrophysiological Multivariate Time-Series Analysis

    المؤلفون: Maurizio Campolo, Francesco Carlo Morabito, Cosimo Ieracitano, Nadia Mammone

    مصطلحات موضوعية: Brain state, Artificial neural network, Computer science, business.industry, Deep learning, Biomedical signal, Multivariate time series analysis, Artificial intelligence, Machine learning, computer.software_genre, business, computer, Power (physics)

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::8fcb0e3a0a627c974300f14f39c1cb6eTest
    https://doi.org/10.1016/b978-0-12-815480-9.00011-6Test


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