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Automated adjustment of crowdsourced calorie estimations for accurate food image logging.

, , , and . BIBM, page 1059-1066. IEEE Computer Society, (2017)

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Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management.. Ulster University, Coleraine, UK, (2018)British Library, EThOS.Towards Chatbots to Support Bibliotherapy Preparation and Delivery., , , , , , , and . CONVERSATIONS, volume 11970 of Lecture Notes in Computer Science, page 127-142. Springer, (2019)Bootstrapping analysis of crowdsourced non-expert estimates of the number of calories in photographs of meals., , , and . BIBM, page 1465-1469. IEEE Computer Society, (2018)Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets., , , and . Comput. Biol. Medicine, (2018)Future directions for chatbot research: an interdisciplinary research agenda., , , , , , , , , and 5 other author(s). Computing, 103 (12): 2915-2942 (2021)Participatory design-based requirements elicitation involving people living with dementia towards a home-based platform to monitor emotional wellbeing., , , , , and . BIBM, page 2026-2030. IEEE Computer Society, (2017)SenseCare: Using Affective Computing to Manage and Care for the Emotional Wellbeing of Older People., , , , , , , , , and 3 other author(s). eHealth 360°, volume 181 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 352-356. Springer, (2016)A digital technology framework to optimise the self-management of obesity., , , and . UbiComp Adjunct, page 1126-1131. ACM, (2016)Designing Multimodal Video Search by Examples (MVSE) user interfaces: UX requirements elicitation and insights from semi-structured interviews., , , , , , , and . ECCE, page 4:1-4:8. ACM, (2023)Automated adjustment of crowdsourced calorie estimations for accurate food image logging., , , and . BIBM, page 1059-1066. IEEE Computer Society, (2017)