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pro vyhledávání: '"Tae-Ki An"'
Biased data can lead to unfair machine learning models, highlighting the importance of embedding fairness at the beginning of data analysis, particularly during dataset curation and labeling. In response, we propose Falcon, a scalable fair active lea
Externí odkaz:
http://arxiv.org/abs/2401.12722
Publikováno v:
Nursing Praxis in Aotearoa New Zealand; Mar2022, Vol. 38 Issue 1, p1-4, 4p
Autor:
Jung, Tae-Ki1 (AUTHOR) taeki222@konkuk.ac.kr, Jee, Gyu-In1 (AUTHOR) gijee@konkuk.ac.kr
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 12, p3831. 15p.
As machine learning becomes prevalent, mitigating any unfairness present in the training data becomes critical. Among the various notions of fairness, this paper focuses on the well-known individual fairness, which states that similar individuals sho
Externí odkaz:
http://arxiv.org/abs/2209.07047
Responsible AI is becoming critical as AI is widely used in our everyday lives. Many companies that deploy AI publicly state that when training a model, we not only need to improve its accuracy, but also need to guarantee that the model does not disc
Externí odkaz:
http://arxiv.org/abs/2101.05967
Autor:
Tae-Ki Jung, Gyu-In Jee
Publikováno v:
Sensors, Vol 24, Iss 12, p 3831 (2024)
In this study, we enhanced odometry performance by integrating vision sensors with LiDAR sensors, which exhibit contrasting characteristics. Vision sensors provide extensive environmental information but are limited in precise distance measurement, w
Externí odkaz:
https://doaj.org/article/4af5a301991d4ed080765c67c8b67d98
Autor:
Tae, Ki Hyun, Whang, Steven Euijong
As machine learning becomes democratized in the era of Software 2.0, a serious bottleneck is acquiring enough data to ensure accurate and fair models. Recent techniques including crowdsourcing provide cost-effective ways to gather such data. However,
Externí odkaz:
http://arxiv.org/abs/2003.04549
The wide use of machine learning is fundamentally changing the software development paradigm (a.k.a. Software 2.0) where data becomes a first-class citizen, on par with code. As machine learning is used in sensitive applications, it becomes imperativ
Externí odkaz:
http://arxiv.org/abs/1904.10761
Publikováno v:
IEEE Access, Vol 11, Pp 26163-26169 (2023)
The fare payment system for public transportation has developed from coins, paper tickets, magnetic strips, and pre-paid cards to new technologies such as Radio-Frequency Identification (RFID) and Near Field Communication (NFC). Most fare payment sys
Externí odkaz:
https://doaj.org/article/095e01e3111f47dc928fd02a853c46ca
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