يعرض 1 - 10 نتائج من 54 نتيجة بحث عن '"Mammone A."', وقت الاستعلام: 1.24s تنقيح النتائج
  1. 1
    دورية أكاديمية
    A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals.

    المؤلفون: Mammone, Nadia1 (AUTHOR) nadia.mammone@unirc.it, Ieracitano, Cosimo1 (AUTHOR) cosimo.ieracitano@unirc.it, Spataro, Rossella2,3 (AUTHOR) rossellaspataro@libero.it, Guger, Christoph4 (AUTHOR) guger@gtec.at, Cho, Woosang4 (AUTHOR) cho@gtec.at, Morabito, Francesco Carlo1 (AUTHOR) morabito@unirc.it

    المصدر: International Journal of Neural Systems. Feb2024, Vol. 34 Issue 2, p1-19. 19p.

    مصطلحات موضوعية: *ELECTROENCEPHALOGRAPHY, *SIGNAL processing, *MOTOR imagery (Cognition), *MOTION, *CONVOLUTIONAL neural networks, *INTENTION


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  2. 2
    كتاب
    Toward an Automatic Classification of SEM Images of Nanomaterials via a Deep Learning Approach

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

    المساهمون: Ieracitano, Cosimo, Pantó, Fabiola, Mammone, Nadia, Paviglianiti, Annunziata, Frontera, Patrizia, Morabito, Francesco Carlo

    مصطلحات موضوعية: SEM images, Nanomaterials, Deep learning, Convolutional neural network

    وصف الملف: ELETTRONICO

    العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-981-13-8950-4; info:eu-repo/semantics/altIdentifier/wos/WOS:000539290500008; ispartofbook:Neural Approaches to Dynamics of Signal Exchanges; volume:151; firstpage:61; lastpage:72; numberofpages:12; http://hdl.handle.net/11583/2759786Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85073160076; https://doi.org/10.1007/978-981-13-8950-4_7Test

    الإتاحة: https://doi.org/10.1007/978-981-13-8950-4_7Test
    http://hdl.handle.net/11583/2759786Test

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  3. 3
    دورية أكاديمية
    Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects

    المؤلفون: Michele Lo Giudice, Edoardo Ferlazzo, Nadia Mammone, Sara Gasparini, Vittoria Cianci, Angelo Pascarella, Anna Mammì, Danilo Mandic, Francesco Carlo Morabito, Umberto Aguglia

    المصدر: International Journal of Environmental Research and Public Health; Volume 19; Issue 23; Pages: 15733

    مصطلحات موضوعية: EEG, empirical mode decomposition, convolutional neural network, deep learning, PNES, epilepsy

    جغرافية الموضوع: agris

    وصف الملف: application/pdf

    العلاقة: Digital Health; https://dx.doi.org/10.3390/ijerph192315733Test

    الإتاحة: https://doi.org/10.3390/ijerph192315733Test

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  4. 4
    دورية أكاديمية
    Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures

    المؤلفون: Michele Lo Giudice, Giuseppe Varone, Cosimo Ieracitano, Nadia Mammone, Giovanbattista Gaspare Tripodi, Edoardo Ferlazzo, Sara Gasparini, Umberto Aguglia, Francesco Carlo Morabito

    المصدر: Entropy; Volume 24; Issue 1; Pages: 102

    مصطلحات موضوعية: EEG, PNES, epilepsy, machine learning, deep learning, convolutional neural network, wavelet, permutation entropy, interpretability

    وصف الملف: application/pdf

    العلاقة: https://dx.doi.org/10.3390/e24010102Test

    الإتاحة: https://doi.org/10.3390/e24010102Test

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  5. 5
    كتاب
    A Convolutional Neural Network Approach for the Classification of Subjects with Epileptic Seizures Versus Psychogenic Non-epileptic Seizures and Control, Based on Automatic Feature Extraction from Empirical Mode Decomposition of Interictal EEG Recordings

    المؤلفون: Lo Giudice M., Mammone N., Ieracitano C., Aguglia U., Mandic D., Morabito F. C.

    المساهمون: Lo Giudice, M., Mammone, N., Ieracitano, C., Aguglia, U., Mandic, D., Morabito, F. C.

    مصطلحات موضوعية: Convolutional neural network, Deep learning, EEG, Empirical mode decomposition, Epilepsy, PNES

    العلاقة: info:eu-repo/semantics/altIdentifier/isbn/9789819935918; ispartofbook:Smart Innovation, Systems and Technologies; volume:360; firstpage:207; lastpage:214; numberofpages:8; serie:SMART INNOVATION, SYSTEMS AND TECHNOLOGIES; https://hdl.handle.net/11590/470775Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85168772306

    الإتاحة: https://doi.org/10.1007/978-981-99-3592-5_20Test
    https://hdl.handle.net/11590/470775Test

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  6. 6
    دورية أكاديمية
    A novel explainable machine learning approach for EEG-based brain-computer interface systems

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

    مصطلحات موضوعية: Brain–computer interface, Beamforming, Deep learning, Explainable machine learning

    العلاقة: http://researchrepository.napier.ac.uk/Output/2761855Test; https://napier-repository.worktribe.com/file/2761855/1/A%20Novel%20explainable%20Machine%20Learning%20Approach%20for%20EEG-based%20Brain-computer%20Interface%20Systems%20%28accepted%20version%29Test

    الإتاحة: https://doi.org/10.1007/s00521-020-05624-wTest
    https://napier-repository.worktribe.com/file/2761855/1/A%20Novel%20explainable%20Machine%20Learning%20Approach%20for%20EEG-based%20Brain-computer%20Interface%20Systems%20%28accepted%20version%29Test
    http://researchrepository.napier.ac.uk/Output/2761855Test

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  7. 7
    مؤتمر
    Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications

    المؤلفون: Lo Giudice M., Mammone N., Ieracitano C., Aguglia U., Mandic D., Morabito F. C.

    المساهمون: Mufti Mahmud, Cosimo Ieracitano, M. Shamim Kaiser, Nadia Mammone, Francesco Carlo Morabito, Lo Giudice, M., Mammone, N., Ieracitano, C., Aguglia, U., Mandic, D., Morabito, F. C.

    مصطلحات موضوعية: Convolutional neural network, Deep learning, Explainable artificial intelligence, Grad-CAM, Mel-frequency cepstrum, Respiratory sound, Telemedicine

    العلاقة: info:eu-repo/semantics/altIdentifier/isbn/9783031248016; ispartofbook:Communications in Computer and Information Science; 2nd International Conference on Applied Intelligence and Informatics, AII 2022; volume:1724; firstpage:391; lastpage:403; numberofpages:13; serie:COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE; https://hdl.handle.net/11590/470767Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85149706495

    الإتاحة: https://doi.org/10.1007/978-3-031-24801-6_28Test
    https://hdl.handle.net/11590/470767Test

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  8. 8
    دورية أكاديمية
    Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects

    المؤلفون: Lo Giudice M., Ferlazzo E., Mammone N., Gasparini S., Cianci V., Pascarella A., Mammi A., Mandic D., Morabito F. C., Aguglia U.

    المساهمون: Lo Giudice, M., Ferlazzo, E., Mammone, N., Gasparini, S., Cianci, V., Pascarella, A., Mammi, A., Mandic, D., Morabito, F. C., Aguglia, U.

    مصطلحات موضوعية: convolutional neural network, deep learning, EEG, empirical mode decomposition, epilepsy, PNES

    العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000896132900001; volume:19; issue:23; journal:INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH; https://hdl.handle.net/11590/470769Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85143718303

    الإتاحة: https://doi.org/10.3390/ijerph192315733Test
    https://hdl.handle.net/11590/470769Test

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  9. 9
    دورية أكاديمية
    Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures

    المؤلفون: Lo Giudice M., Varone G., Ieracitano C., Mammone N., Tripodi G. G., Ferlazzo E., Gasparini S., Aguglia U., Morabito F. C.

    المساهمون: Lo Giudice, M., Varone, G., Ieracitano, C., Mammone, N., Tripodi, G. G., Ferlazzo, E., Gasparini, S., Aguglia, U., Morabito, F. C.

    مصطلحات موضوعية: Convolutional neural network, Deep learning, EEG, Epilepsy, Interpretability, Machine learning, Permutation entropy, PNES, Wavelet

    العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000747096500001; volume:24; issue:1; journal:ENTROPY; https://hdl.handle.net/11590/470772Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85122531237

    الإتاحة: https://doi.org/10.3390/e24010102Test
    https://hdl.handle.net/11590/470772Test

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  10. 10
    دورية أكاديمية
    Information Theoretic-Based Interpretation of a Deep Neural Network Approach in Diagnosing Psychogenic Non-Epileptic Seizures

    المؤلفون: Sara Gasparini, Maurizio Campolo, Cosimo Ieracitano, Nadia Mammone, Edoardo Ferlazzo, Chiara Sueri, Giovanbattista Tripodi, Umberto Aguglia, Francesco Morabito

    المصدر: Entropy; Volume 20; Issue 2; Pages: 43

    مصطلحات موضوعية: psychogenic non-epileptic seizures, deep learning, stacked autoencoders, information theory, entropy

    وصف الملف: application/pdf

    العلاقة: Information Theory, Probability and Statistics; https://dx.doi.org/10.3390/e20020043Test

    الإتاحة: https://doi.org/10.3390/e20020043Test

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