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dc.contributor.authorKarekla, Mariaen
dc.contributor.authorTrigeorgi, Antriaen
dc.contributor.authorGeorgiou, Chryssisen
dc.contributor.authorGloster, Andrewen
dc.coverage.spatialDublin, Irelanden
dc.creatorKarekla, Mariaen
dc.creatorTrigeorgi, Antriaen
dc.creatorGeorgiou, Chryssisen
dc.creatorGloster, Andrewen
dc.date.accessioned2021-01-22T10:47:51Z
dc.date.available2021-01-22T10:47:51Z
dc.date.issued2019
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/62469
dc.publisherAssociation for Contextual Behavioral Scienceen
dc.sourceHealth Behaviors in Context: Leveraging Technology for Contextually Sensitive Assessment and Intervention. Symposium at the World Congress of the Association for Contextual Behavioral Science, ACBS 2019en
dc.titleUsing Machine Learning to Classify and Predict Avoidance vs. Acceptance in Individuals with Health Risken
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.contributor.orcidGeorgiou, Chryssis [0000-0003-4360-0260]
dc.gnosis.orcid0000-0003-4360-0260


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