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AuthorThiam, Patrickdc.contributor.author
AuthorKestler, Hans A.dc.contributor.author
AuthorSchwenker, Friedhelmdc.contributor.author
Date of accession2021-03-01T12:34:51Zdc.date.accessioned
Available in OPARU since2021-03-01T12:34:51Zdc.date.available
Date of first publication2020dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordPain Intensity Classificationdc.subject
KeywordInformation Fusiondc.subject
KeywordAutoencoderdc.subject
KeywordConvolutional Neural Networksdc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
Dewey Decimal GroupDDC 610 / Medicine & healthdc.subject.ddc
TitleMultimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signalsdc.title
Resource typeBeitrag zu einer Konferenzdc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
FacultyMedizinische Fakultätuulm.affiliationGeneral
InstitutionInstitut für Medizinische Systembiologieuulm.affiliationSpecific
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.5220/0008896102890296dc.identifier.doiExternal
Source - Title of sourceICPRAM 2020: proceedings of the 9th International Conference on Pattern Recognition Applications and Methodssource.title
Quellenangabe - HerausgeberDe Marsico, Mariasource.contributor.editor1
Quellenangabe - HerausgeberSanniti di Baja, Gabriellasource.contributor.editor1
Quellenangabe - HerausgeberFred, Anasource.contributor.editor1
Source - PublisherSetúbalsource.publisherPlace
Source - Place of publicationSCITEPRESS - Science and Technology Publications, Lda.source.publisher
Source - Year2020source.year
Source - From page289source.fromPage
Source - To page296source.toPage
Source - ISBN978-989-758-397-1source.identifier.isbn
Conference name9th International Conference on Pattern Recognition Applications and Methods (ICPRAM)uulm.conferenceName
Conference placeVallettauulm.conferencePlace
Conference start date2020-02-22uulm.conferenceStartDate
Conference end date2020-02-24uulm.conferenceEndDate
CommunityMedizinische Fakultätuulm.community
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000615717400033uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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