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المؤلفون: Heather C. Whalley, Colin R. Buchanan, Saturnino Luz, Keith Smith, Hon Wah Yeung, Simon R. Cox
المصدر: EMBC
Yeung, H W, Luz, S, Cox, S, Buchanan, C, Whalley, H & Smith, K 2020, ' Pipeline comparisons of convolutional neural networks for structural connectomes: predicting sex across 3,152 participants ', Paper presented at 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20/07/20-24/07/20 . https://doi.org/https://doi-org.ezproxy.is.ed.ac.uk/10.1109/EMBC44109.2020.9175596Testمصطلحات موضوعية: Computer science, Pipeline (computing), Population, Machine learning, computer.software_genre, Convolutional neural network, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, Fractional anisotropy, Connectome, Humans, 0501 psychology and cognitive sciences, education, education.field_of_study, business.industry, Deep learning, 05 social sciences, Brain, Benchmark (computing), Anisotropy, Graph (abstract data type), Neural Networks, Computer, Artificial intelligence, business, computer, 030217 neurology & neurosurgery
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0aae077b3ba23f36cba80d62417a905Test
https://doi.org/10.1109/embc44109.2020.9175596Test -
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المؤلفون: Fasih Haider, Saturnino Luz, Ziyang Fu
المصدر: EMBC
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Fu, Z, Haider, F & Luz, S 2020, Predicting Mini-Mental Status Examination Scores through Paralinguistic Acoustic Features of Spontaneous Speech . in 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . Institute of Electrical and Electronics Engineers (IEEE), 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20/07/20 . https://doi.org/10.1109/EMBC44109.2020.9175379Testمصطلحات موضوعية: medicine.medical_specialty, MEDLINE, Sample (statistics), Acoustics, Primary care, Neuropsychological Tests, Audiology, Mental Status and Dementia Tests, behavioral disciplines and activities, Paralanguage, Mini Mental Status Examination, 03 medical and health sciences, 0302 clinical medicine, otorhinolaryngologic diseases, medicine, Humans, Speech, Cognitive Dysfunction, Relevance (information retrieval), 030212 general & internal medicine, Association (psychology), Psychology, 030217 neurology & neurosurgery, Spontaneous speech
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cdc3a2649547ee42468ea436d3c99ffdTest
https://doi.org/10.1109/embc44109.2020.9175379Test -
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المؤلفون: Fasih Haider, Saturnino Luz, Sofia de la Fuente Garcia
المصدر: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
EMBC
De La Fuente Garcia, S, Haider, F & Luz, S 2020, Cross-corpus Feature Learning between Spontaneous Monologue and Dialogue for Automatic Classification of Alzheimer's Dementia Speech . in 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) . Institute of Electrical and Electronics Engineers (IEEE), pp. 5851-5855, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20/07/20 . https://doi.org/10.1109/EMBC44109.2020.9176305Testمصطلحات موضوعية: Computer science, Feature extraction, 02 engineering and technology, computer.software_genre, 03 medical and health sciences, Alzheimer Disease, 0202 electrical engineering, electronic engineering, information engineering, Humans, Learning, Speech, Alzheimer s dementia, Representation (mathematics), 030304 developmental biology, 0303 health sciences, Artificial neural network, business.industry, 020206 networking & telecommunications, Recognition, Psychology, Feature model, Data set, Artificial intelligence, Neural Networks, Computer, business, Feature learning, computer, Natural language processing
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db6c95a3af79b1da82e720524d81cdbTest