Zobrazeno 1 - 10
of 469
pro vyhledávání: '"Lee, Kyungho"'
Publikováno v:
ACM Designing Interactive Systems Conference, 2024, (DIS '24)
Group dance, a sub-genre characterized by intricate motions made by a cohort of performers in tight synchronization, has a longstanding and culturally significant history and, in modern forms such as cheerleading, a broad base of current adherents. H
Externí odkaz:
http://arxiv.org/abs/2406.11236
This paper investigates the potential of LLM-based conversational agents (CAs) to enhance critical reflection and mitigate design fixation in group design work. By challenging AI-generated recommendations and prevailing group opinions, these agents a
Externí odkaz:
http://arxiv.org/abs/2406.11125
Autor:
Lee, Kyungho, Whang, Yoon-Jae
We introduce PySDTest, a Python/Stata package for statistical tests of stochastic dominance. PySDTest implements various testing procedures such as Barrett and Donald (2003), Linton et al. (2005), Linton et al. (2010), and Donald and Hsu (2016), alon
Externí odkaz:
http://arxiv.org/abs/2307.10694
Autor:
Lee, Jeong-A., Kang, Haneul, Kim, Saehun, Lee, Kyungho, Byun, Jeong Hwan, Kwon, Eunji, Seo, Samuel, Kwak, Kyuju, Ryu, Kyoung Han, Choi, Nam-Soon
Publikováno v:
In Energy Storage Materials November 2024 73
Autor:
Jang, Jiye, Jung, Hyewon, Jeong, Jaekyun, Jeon, Junseok, Lee, Kyungho, Jang, Hye Ryoun, Han, Jeung-Whan, Lee, Jaecheol
Publikováno v:
In Heliyon 30 October 2024 10(20)
Autor:
Hyung Kim, Jae, Cha, Jung-Eun, Ju, HyungKuk, Choi, Young-Woo, Baek, Jiyeon, Georg Albers, Justin, Shim, Joonmok, Hyung Kim, Sun, Lee, Kyungho, Chul Yoon, Hyung
Publikováno v:
In Chemical Engineering Journal 1 October 2024 497
Autor:
Lee, Kyungho, Woo, Rayoon, Woo, Hee Chahng, Ko, Gyeongmin, Cho, Kanghee, Park, Younghwan, Choi, Minkee, Yoon, Hyung Chul
Publikováno v:
In Journal of Catalysis June 2024 434
Publikováno v:
In International Journal of Naval Architecture and Ocean Engineering 2024 16
Achieving stability and robustness is the primary goal of biped locomotion control. Recently, deep reinforce learning (DRL) has attracted great attention as a general methodology for constructing biped control policies and demonstrated significant im
Externí odkaz:
http://arxiv.org/abs/2007.15242
Akademický článek
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