Zobrazeno 1 - 10
of 24 755
pro vyhledávání: '"Lee, Min A"'
Autor:
Hsieh, Jane, Zhang, Angie, Rasetarinera, Mialy, Chou, Erik, Ngo, Daniel, Lightman, Karen, Lee, Min Kyung, Zhu, Haiyi
The proliferating adoption of platform-based gig work increasingly raises concerns for worker conditions. Past studies documented how platforms leveraged design to exploit labor, withheld information to generate power asymmetries, and left workers al
Externí odkaz:
http://arxiv.org/abs/2412.02973
Autor:
Zhou, Yishui, Lee, Min-Kai, Hammouda, Sabreen, Devi, Sheetal, Yano, Shin-Ichiro, Sibille, Romain, Zaharko, Oksana, Schmidt, Wolfgang, Schmalzl, Karin, Beauvois, Ketty, Ressouche, Eric, Chang, Po-Chun, Huang, Chun-Hao, Chang, Lieh-Jeng, Brückel, Thomas, Su, Yixi
Magnetic kagome metals have attracted tremendous research interests recently, because they represent an ideal playground for exploring the fascinating interplay between their intrinsically inherited topologically non-trivial electron band structures,
Externí odkaz:
http://arxiv.org/abs/2411.14415
Autor:
Nguyen, Hiep, McClure-Griffiths, N. M., Dempsey, James, Dickey, John M., Lee, Min-Young, Lynn, Callum, Murray, Claire E., Stanimirović, Snežana, Busch, Michael P., Clark, Susan E., Dawson, J. R., Dénes, Helga, Gibson, Steven, Jameson, Katherine, Joncas, Gilles, Kemp, Ian, Leahy, Denis, Ma, Yik Ki, Marchal, Antoine, Miville-Deschênes, Marc-Antoine, Pingel, Nickolas M., Seta, Amit, Soler, Juan D., van Loon, Jacco Th.
Publikováno v:
MNRAS 2024
We present the largest Galactic neutral hydrogen HI absorption survey to date, utilizing the Australian SKA Pathfinder Telescope at an unprecedented spatial resolution of 30''. This survey, GASKAP-HI, unbiasedly targets 2,714 continuum background sou
Externí odkaz:
http://arxiv.org/abs/2409.20311
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
We prove the existence of murmurations in the family of Maass forms of weight 0 and level 1 with their Laplace eigenvalue parameter going to infinity (i.e., correlations between the parity and Hecke eigenvalues at primes growing in proportion to the
Externí odkaz:
http://arxiv.org/abs/2409.00765
Autor:
Hsieh, Jane, Zhang, Angie, Kim, Seyun, Rao, Varun Nagaraj, Dalal, Samantha, Mateescu, Alexandra, Grohmann, Rafael Do Nascimento, Eslami, Motahhare, Lee, Min Kyung, Zhu, Haiyi
Platform-based laborers face unprecedented challenges and working conditions that result from algorithmic opacity, insufficient data transparency, and unclear policies and regulations. The CSCW and HCI communities increasingly turn to worker data col
Externí odkaz:
http://arxiv.org/abs/2409.00737
Creators are nothing without their audience, and thereby understanding their audience is the cornerstone of their professional achievement. Yet many creators feel lost while comprehending audiences with existing tools, which offer insufficient insigh
Externí odkaz:
http://arxiv.org/abs/2408.10937
Autor:
Bialy, Shmuel, Burkhart, Blakesley, Seifried, Daniel, Sternberg, Amiel, Godard, Benjamin, Krumholz, Mark R., Walch, Stefanie, Hamden, Erika, Haworth, Thomas J., Turner, Neal J., Lee, Min-Young, Kong, Shuo
Molecular clouds (MCs) are the birthplaces of new stars in galaxies. A key component of MCs are photodissociation regions (PDRs), where far-ultraviolet radiation plays a crucial role in determining the gas's physical and chemical state. Traditional P
Externí odkaz:
http://arxiv.org/abs/2408.06416
Autor:
Kim, Sanghyun, Lee, Min Jung, Kim, Woohyeok, Jung, Deunsol, Rim, Jaesung, Cho, Sunghyun, Cho, Minsu
Burst image super-resolution has been a topic of active research in recent years due to its ability to obtain a high-resolution image by using complementary information between multiple frames in the burst. In this work, we explore using burst shots
Externí odkaz:
http://arxiv.org/abs/2406.17869
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