Haku
Viitteet 1-10 / 17
How Students’ Information Sensitivity, Privacy Trade-Offs, and Stages of Customer Journey Affect Consent to Utilize Personal Data
(Informing Science Institute, 2023)
This study aimed to increase our understanding of how the stages of the customer purchase journey, privacy trade-offs, and information sensitivity of different business service sectors affect consumers’ privacy concerns.
The ...
Uncertain Facial Expression Recognition via Multi-Task Assisted Correction
(Institute of Electrical and Electronics Engineers, 2023)
Deep models for facial expression recognition achieve high performance by training on large-scale labeled data. However, publicly available datasets contain uncertain facial expressions caused by ambiguous annotations or ...
Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition
(IEEE Computer Society Press, 2022)
High-quality annotated images are significant to deep facial expression recognition (FER) methods. However, uncertain labels, mostly existing in large-scale public datasets, often mislead the training process. In this ...
Creating effective visuals for destination marketing videos: Scenery vs people
(SAGE Publications, 2022)
By drawing from imagery and consumer choice theories, we examine how visuals of faces and social groups can foster behavioural intention and emotional effects in the case of nature tourism video marketing. We implemented ...
Deep Learning for Micro-Expression Recognition: A Survey
(Institute of Electrical and Electronics Engineers Computer Sociery, 2022)
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden feelings in high-stake situations and have practical importance in various fields. Early methods for Micro-expression Recognition (MER) are ...
Dialog Modelling Experiments with Finnish One-to-One Chat Data
(Springer, 2020)
We analyzed two conversational corpora in Finnish: A public library question-answering (QA) data and a private medical chat dataẆe developed response retrieval (ranking) models using TF-IDF, StarSpace, ESIM and BERT methods. ...
Human’s Intuitive Mental Models as a Source of Realistic Artificial Intelligence and Engineering
(Frontiers Research Foundation, 2022)
Despite the success of artificial intelligence (AI), we are still far away from AI that model the world as humans do. This study focuses for explaining human behavior from intuitive mental models’ perspectives. We describe ...
The Decision Science of Voting: Behavioral Evidence of Factors in Candidate Valuation
(Cognitive science society, 2019)
Despite decision science have increased our understanding of human decision-making in different contexts, voters’ decision has been studied less from this point of view. Therefore, we investigated, how electorate- and ...
Predictive modeling for trustworthiness and other subjective text properties in online nutrition and health communication
(Public Library of Science, 2020)
While the internet has democratized and accelerated content creation and sharing, it has also made people more vulnerable to manipulation and misinformation. Also, the received information can be distorted by psychological ...
Comparisons of Facial Recognition Algorithms Through a Case Study Application
(Kassel Univ. Press, 2020)
Computer visions and their applications have become important in contemporary life. Hence, researches on facial and object recognition have become increasingly important both from academicians and practitioners. Smart ...