نتائج البحث - "Saturnino Luz"

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-200888Test

مصطلحات 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

6

Editorial: Alzheimer's Dementia Recognition through Spontaneous Speech

المؤلفون: Davida Fromm, Brian MacWhinney, Fasih Haider, Sofia de la Fuente Garcia, Saturnino Luz

المصدر: Luz, S, Haider, F, de la Fuente, S, Fromm, D & MacWhinney, B 2021, ' Editorial: Alzheimer's Dementia Recognition through Spontaneous Speech ', Frontiers in Computer Science, vol. 3:780169, pp. 1-4 . https://doi.org/10.3389/fcomp.2021.780169Test
Frontiers in Computer Science, Vol 3 (2021)

مصطلحات موضوعية: signal processing (SP), computational paralinguistics, medicine.medical_specialty, Computer science, speech processing and recognition, QA75.5-76.95, Audiology, machine learning, Electronic computers. Computer science, medicine, natural language processing (NLP), Alzheimer s dementia, Alzheimer’s disease, Spontaneous speech

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef77269209dbcc0ea202602af91ade5fTest
https://hdl.handle.net/20.500.11820/f1d8eca9-58af-462f-be94-5665ec2aab31Test

7

Detecting cognitive decline using speech only: The ADReSSOChallenge

المؤلفون: Davida Fromm, Saturnino Luz, Fasih Haider, Brian MacWhinney, Sofia de la Fuente

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::60e975c20b5baef677a2b9d7868fe2dfTest
https://doi.org/10.1101/2021.03.24.21254263Test

8

Emotion recognition in low-resource settings: An evaluation of automatic feature selection methods

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.2020.101119Test

مصطلحات 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

9

Automated classification of primary care patient safety incident report content and severity using supervised Machine Learning (ML) approaches

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

10

Action Modelling for Interaction and Analysis in Smart Sports and Physical Education

المؤلفون: Bert-Jan van Beijnum, Fasih Haider, Dennis Reidsma, Maite Frutos-Pascual, Fahim A. Salim, Saturnino Luz

المساهمون: TechMed Centre, Biomedical Signals and Systems, Human Media Interaction, University of Twente

المصدر: Salim, F A, Haider, F, Frutos-Pascual, M, Reidsma, D, Luz, S & Van Beijnum, B J 2020, Action Modelling for Interaction and Analysis in Smart Sports and Physical Education . in 1st Workshop on Action Modelling for Interaction and Analysis in Smart Sports and Physical Education (MAIStroPE) . Association for Computing Machinery (ACM), pp. 228-229, ICMI '20: International Conference on Multimodal Interaction. Virtual Event, Netherlands, 25/10/20 . https://doi.org/10.1145/3395035.3425299Test
ICMI 2020 Companion: Companion Publication of the 2020 International Conference on Multimodal Interaction, 228-229
STARTPAGE=228;ENDPAGE=229;TITLE=ICMI 2020 Companion
ICMI Companion

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9dc26838c47072ec5f974e833ba8571Test
https://hdl.handle.net/20.500.11820/876e3dcc-e4ac-4002-aba0-843cc93df68eTest

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