Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Lee, Min Hun"'
A growing research explores the usage of AI explanations on user's decision phases for human-AI collaborative decision-making. However, previous studies found the issues of overreliance on `wrong' AI outputs. In this paper, we propose interactive exa
Externí odkaz:
http://arxiv.org/abs/2409.15814
Algorithmic detection of facial palsy offers the potential to improve current practices, which usually involve labor-intensive and subjective assessment by clinicians. In this paper, we present a multimodal fusion-based deep learning model that utili
Externí odkaz:
http://arxiv.org/abs/2405.16496
With advanced AI/ML, there has been growing research on explainable AI (XAI) and studies on how humans interact with AI and XAI for effective human-AI collaborative decision-making. However, we still have a lack of understanding of how AI systems and
Externí odkaz:
http://arxiv.org/abs/2405.16424
Autor:
Lee, Min Hun
In this paper, we explore the feasibility of using a transformer-based, spatiotemporal attention network (STAN) for gradient-based time-series explanations. First, we trained the STAN model for video classifications using the global and local views o
Externí odkaz:
http://arxiv.org/abs/2405.17444
Autor:
Lee, Min Hun, Chew, Chong Jun
Artificial intelligence (AI) is increasingly being considered to assist human decision-making in high-stake domains (e.g. health). However, researchers have discussed an issue that humans can over-rely on wrong suggestions of the AI model instead of
Externí odkaz:
http://arxiv.org/abs/2308.04375
Autor:
Lee, Min Hun, Siewiorek, Daniel P., Smailagic, Asim, Bernardino, Alexandre, Badia, Sergi Bermúdez i
Socially assistive robots are increasingly being explored to improve the engagement of older adults and people with disability in health and well-being-related exercises. However, even if people have various physical conditions, most prior work on so
Externí odkaz:
http://arxiv.org/abs/2305.07632
Autor:
Lee, Min Hun, Choy, Yi Jing
Explainable artificial intelligence (AI) techniques are increasingly being explored to provide insights into why AI and machine learning (ML) models provide a certain outcome in various applications. However, there has been limited exploration of exp
Externí odkaz:
http://arxiv.org/abs/2305.05525
Autor:
Stapleton, Logan, Lee, Min Hun, Qing, Diana, Wright, Marya, Chouldechova, Alexandra, Holstein, Kenneth, Wu, Zhiwei Steven, Zhu, Haiyi
Child welfare agencies across the United States are turning to data-driven predictive technologies (commonly called predictive analytics) which use government administrative data to assist workers' decision-making. While some prior work has explored
Externí odkaz:
http://arxiv.org/abs/2205.08928
Autor:
Lee, Min Hun, Siewiorek, Daniel P., Smailagic, Asim, Bernardino, Alexandre, Badia, Sergi Bermúdez i
Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction. While previous work explored the potential of automatically monitoring exercises for AI and robotic c
Externí odkaz:
http://arxiv.org/abs/2106.08458
Autor:
Lee, Min Hun, Siewiorek, Daniel P., Smailagic, Asim, Bernardino, Alexandre, Badia, Sergi Bermúdez i
The research of a socially assistive robot has a potential to augment and assist physical therapy sessions for patients with neurological and musculoskeletal problems (e.g. stroke). During a physical therapy session, generating personalized feedback
Externí odkaz:
http://arxiv.org/abs/2007.06473