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المؤلفون: Fasih Haider, Pierre Albert, Saturnino Luz
المصدر: AI, Vol 2, Iss 38, Pp 636-649 (2021)
AI; Volume 2; Issue 4; Pages: 636-649
Haider, F, Albert, P & Luz, S 2021, ' User Identity Protection in Automatic Emotion Recognition through Disguised Speech ', AI, vol. 2, no. 4, pp. 636-649 . https://doi.org/10.3390/ai2040038Testمصطلحات موضوعية: affect recognition, Computer science, Speech recognition, health technologies, Ambient Assisted Living, Feature selection, 02 engineering and technology, social signal processing, computer.software_genre, Coaching, Task (project management), 03 medical and health sciences, 0302 clinical medicine, emotion recognition, 0202 electrical engineering, electronic engineering, information engineering, Data Protection Act 1998, privacy preservation, Audio signal processing, General Environmental Science, business.industry, Health technology, 020206 networking & telecommunications, QA75.5-76.95, Statistical classification, Electronic computers. Computer science, General Earth and Planetary Sciences, business, Transfer of learning, computer, 030217 neurology & neurosurgery
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b943ffa80fd9f3771ad84d8477dd34bcTest
https://www.mdpi.com/2673-2688/2/4/38Test -
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المصدر: Saunders, S, Muniz-Terrera, G, Sheehan, S, Ritchie, C W & Luz, S 2021, ' A UK-Wide Study Employing Natural Language Processing to Determine What Matters to People about Brain Health to Improve Drug Development : The Electronic Person-Specific Outcome Measure (ePSOM) Programme ', Journal of Prevention of Alzheimer's Disease . https://doi.org/10.14283/jpad.2021.30Test
مصطلحات موضوعية: Male, brain health, Clinically meaningful change, Population, Psychological intervention, Disease, computer.software_genre, outcome measures, Drug Development, Alzheimer Disease, Surveys and Questionnaires, Humans, Patient Reported Outcome Measures, education, Natural Language Processing, education.field_of_study, business.industry, Outcome measures, Brain, Middle Aged, United Kingdom, Clinical trial, Clinical research, Drug development, Research Design, Female, Patient-reported outcome, electronic patient reported outcome measures, Self Report, Artificial intelligence, business, Psychology, Alzheimer’s disease, computer, Natural language processing
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b4f77b607ecacf6d611f93d7fd116d6Test
https://doi.org/10.14283/jpad.2021.30Test -
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المؤلفون: Craig W. Ritchie, Saturnino Luz, Sofia de la Fuente Garcia
المصدر: Journal of Alzheimer's Disease
De La Fuente Garcia, S, Ritchie, C & Luz, S 2020, ' Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review ', Journal of Alzheimer's Disease . https://doi.org/10.3233/JAD-200888Testمصطلحات موضوعية: FOS: Computer and information sciences, J.3, Standardization, Computer Science - Artificial Intelligence, Computer science, Population, Context (language use), PsycINFO, computational linguistics, Machine Learning, Audio and Speech Processing (eess.AS), Alzheimer Disease, FOS: Electrical engineering, electronic engineering, information engineering, Humans, Speech, Cognitive Dysfunction, Cognitive decline, education, speech processing, Natural Language Processing, education.field_of_study, Computer Science - Computation and Language, Modalities, I.2.6, business.industry, I.2.7, I.5.4, General Neuroscience, screening, General Medicine, Speech processing, artificial intelligence, cognitive decline, Psychiatry and Mental health, Clinical Psychology, Artificial Intelligence (cs.AI), Disease Progression, Artificial intelligence, Geriatrics and Gerontology, Computational linguistics, business, Computation and Language (cs.CL), Alzheimer’s disease, Electrical Engineering and Systems Science - Audio and Speech Processing, Research Article, dementia
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f12d7b1412d4b6792ff77247f3e647Test
http://europepmc.org/articles/PMC7836050Test -
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المؤلفون: Fasih Haider, Saturnino Luz
المصدر: Interspeech 2021.
مصطلحات موضوعية: business.industry, Computer science, Multi resolution, Pattern recognition, Artificial intelligence, Affect (psychology), business
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::37102aa62c6faa6bfb8bc3e9364fb26bTest
https://doi.org/10.21437/interspeech.2021-1761Test -
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المؤلفون: Tristan Millington, Saturnino Luz
المصدر: Frontiers in Computer Science, Vol 3 (2021)
Millington, T & Luz, S 2021, ' Analysis and Classification of Word Co-Occurrence Networks From Alzheimer’s Patients and Controls ', Frontiers in Computer Science, vol. 3 . https://doi.org/10.3389/fcomp.2021.649508Testمصطلحات موضوعية: Mean squared error, Computer science, network embedding, 010502 geochemistry & geophysics, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, natural language processing, network analysis, graph measures, 0105 earth and related environmental sciences, business.industry, Cognition, Pattern recognition, QA75.5-76.95, Cognitive test, Word lists by frequency, machine learning, Electronic computers. Computer science, Test set, Artificial intelligence, business, Construct (philosophy), Alzheimer’s disease, Co-occurrence networks, 030217 neurology & neurosurgery, Word (computer architecture)
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70ab2688963bb1519a93f9d5c9c770feTest
https://doi.org/10.3389/fcomp.2021.649508Test -
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المؤلفون: Senjuti Saha, Samir K. Saha, Saturnino Luz, Harish Nair, Syed Ahmar Shah, Mark Gf Sun
المصدر: Sun, M GF, Saha, S, Shah, S A, Luz, S, Nair, H & Saha, S 2021, ' Study protocol and design for the assessment of paediatric pneumonia from X-ray images using deep learning ', BMJ Open, vol. 11, no. 4, e044461 . https://doi.org/10.1136/bmjopen-2020-044461Test
BMJ Open, Vol 11, Iss 4 (2021)
BMJ Openمصطلحات موضوعية: medicine.medical_specialty, education, 02 engineering and technology, Child health, 030218 nuclear medicine & medical imaging, respiratory infections, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, Clinical endpoint, diagnostic radiology, Medicine, Medical physics, Diagnostics, Protocol (science), business.industry, Public health, Deep learning, public health, General Medicine, medicine.disease, Pneumonia, X ray image, 020201 artificial intelligence & image processing, paediatric radiology, Artificial intelligence, chest imaging, Paediatric radiology, business
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21b74667897716d048bf30b8ac79fb26Test
https://hdl.handle.net/20.500.11820/e786c9f9-47ce-4220-bcb1-65afee338c32Test -
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المؤلفون: Davida Fromm, Saturnino Luz, Fasih Haider, Brian MacWhinney, Sofia de la Fuente
مصطلحات موضوعية: business.industry, Computer science, Inference, Cognition, Regression analysis, Machine learning, computer.software_genre, medicine.disease, 01 natural sciences, Cognitive test, Task (project management), 010104 statistics & probability, 03 medical and health sciences, 0302 clinical medicine, medicine, Dementia, Artificial intelligence, 0101 mathematics, Cognitive decline, business, Affective computing, computer, 030217 neurology & neurosurgery
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::60e975c20b5baef677a2b9d7868fe2dfTest
https://doi.org/10.1101/2021.03.24.21254263Test -
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المؤلفون: Senja Pollak, Fasih Haider, Pierre Albert, Saturnino Luz
المصدر: Computer Speech & Language
Haider, F, Pollak, S, Albert, P & Luz, S 2021, ' Emotion Recognition in Low-Resource Settings : An Evaluation of Automatic Feature Selection Methods ', Computer Speech and Language, vol. 65, 101119 . https://doi.org/10.1016/j.csl.2020.101119Testمصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Computer Science - Artificial Intelligence, Machine Learning (stat.ML), Feature selection, Context (language use), 02 engineering and technology, Machine learning, computer.software_genre, Computational resource, 01 natural sciences, Machine Learning (cs.LG), Theoretical Computer Science, Statistics - Machine Learning, Scoring algorithm, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Feature (machine learning), 010301 acoustics, Ambient intelligence, business.industry, 020206 networking & telecommunications, Inductive reasoning, Variety (cybernetics), Human-Computer Interaction, Artificial Intelligence (cs.AI), Artificial intelligence, business, computer, Software
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bfc49a6fb148cb5a884e80e02b2f27bTest
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المؤلفون: Graciela Muniz Terrera, Craig W. Ritchie, Shane Sheehan, Alison Evans, Saturnino Luz, Stina Saunders
المصدر: Saunders, S, Sheehan, S, Evans, A, Luz, S, Ritchie, C W & Terrera, G M 2020, ' The electronic person specific outcome measure (ePSOM) programme: Overview and survey results : Neuropsychiatry and behavioral neurology/treatment development and clinical trials ', Alzheimer's & Dementia: The Journal of the Alzheimer's Association, vol. 16, no. S6, e040097 . https://doi.org/10.1002/alz.040097Test
مصطلحات موضوعية: medicine.medical_specialty, Epidemiology, business.industry, Behavioral neurology, Health Policy, Treatment development, Outcome measures, Survey result, Neuropsychiatry, Clinical trial, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Developmental Neuroscience, Medicine, Neurology (clinical), Geriatrics and Gerontology, business, Psychiatry
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ec0ca2f18a839bbb657424ba8205d59Test
https://hdl.handle.net/20.500.11820/25f40484-168b-4339-bc60-af5d8f9fece1Test -
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المؤلفون: Andrew Carson-Stevens, Saturnino Luz, Liam Donaldson, Peter Hibbert, Aziz Sheikh, Adrian Edwards, Meredith Makeham, Huw Prosser Evans, Athanasios Anastasiou
المساهمون: Evans, Huw Prosser, Anastasiou, Athanasios, Edwards, Adrian, Hibbert, Peter, Makeham, Meredith, Luz, Saturnino, Sheikh, Aziz, Donaldson, Liam, Carson-Stevens, Andrew
المصدر: Evans, H, Anastasiou, A, Edwards, A, Hibbert, P, Makeham, M, Luz, S, Sheikh, A, Donaldson, L & Carson-Stevens, A 2019, ' Automated classification of primary care patient safety incident report content and severity using supervised Machine Learning (ML) approaches ', Health Informatics Journal . https://doi.org/10.1177/1460458219833102Test
مصطلحات موضوعية: Support Vector Machine, Quality management, 020205 medical informatics, government.form_of_government, Health Informatics, 02 engineering and technology, quality improvement, 03 medical and health sciences, Naive Bayes classifier, Patient safety, 0302 clinical medicine, C4.5 algorithm, Health care, Classifier (linguistics), patient safety, 0202 electrical engineering, electronic engineering, information engineering, medicine, Humans, 030212 general & internal medicine, natural language processing, Primary Health Care, business.industry, Bayes Theorem, medicine.disease, Support vector machine, machine learning, incident reporting, government, Patient Safety, Supervised Machine Learning, Medical emergency, business, Incident report
وصف الملف: application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fda21dda09cdfb0c800997354646180Test
