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Daehwan Ahn
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Human-AI interaction in human resource management: Understanding why employees resist algorithmic evaluation at workplaces and how to mitigate burdens
H Park, D Ahn, K Hosanagar, J Lee
Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021
672021
A Novel Fracture Prediction Model Using Machine Learning in a Community Based Cohort
SH Kong, D Ahn, B Kim, K Srinivasan, S Ram, H Kim, AR Hong, JH Kim, ...
Journal of Bone and Mineral Research Plus 4 (3), e10337, 2020
462020
Which group do you want to travel with? a study of rating differences among groups on online travel reviews
D Ahn, H Park, B Yoo
Proceedings of the 18th Annual International Conference on Electronic …, 2016
372016
Designing fair AI in human resource management: Understanding tensions surrounding algorithmic evaluation and envisioning stakeholder-centered solutions
H Park, D Ahn, K Hosanagar, J Lee
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
362022
Towards a metaverse workspace: Opportunities, challenges, and design implications
H Park, D Ahn, J Lee
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
212023
Will we trust what we don't understand? Impact of model interpretability and outcome feedback on trust in AI
D Ahn, A Almaatouq, M Gulabani, K Hosanagar
arXiv preprint arXiv:2111.08222, 2021
112021
What’s your real age? an empirical analysis of identity fraud in online game
D Ahn, S Jeon, B Yoo
Information Systems and e-Business Management 16, 775-789, 2018
62018
Interpretable deep learning approach to churn management
D Ahn, D Lee, K Hosanagar
Available at SSRN 3981160, 2020
42020
What Shows Your Age?: An Empirical Analysis of Identity Fraud in Online Game Classification Systems
D Ahn, S Jeon, B Yoo
GCCR Working Paper Series 14-8, 2014
32014
Your age is showing: An analysis of identity fraud in online game classification systems
D Ahn, S Jeon, B Yoo
Proceedings of the 14th Annual International Conference on Electronic …, 2012
12012
Modeling Lengthy Behavioral Log Data for Customer Churn Management: A Representation Learning Approach
D Ahn, D Lee, K Hosanagar
Available at SSRN 3969455, 2021
2021
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Articles 1–11