Zobrazeno 1 - 10
of 25 258
pro vyhledávání: '"Crabtree, A."'
Autor:
Crabtree, Andy
Concern has recently been expressed by HCI researchers as to the inappropriate treatment of qualitative studies through a positivistic mode of evaluation that places emphasis on metrics and measurement. This contrasts with the nature of qualitative r
Externí odkaz:
http://arxiv.org/abs/2409.01302
This paper explores expert accounts of autonomous systems (AS) development in the medical device domain (MD) involving applications of artificial intelligence (AI), machine learning (ML), and other algorithmic and mathematical modelling techniques. W
Externí odkaz:
http://arxiv.org/abs/2408.02386
Autor:
Chen, Chong, Liu, Yingmin, Ding, Yu, Tong, Matthew, Chandrasekaran, Preethi, Crabtree, Christopher, Arshad, Syed M., Han, Yuchi, Ahmad, Rizwan
Background: Accelerated real-time cine (RT-Cine) imaging enables cardiac function assessment without the need for breath-holding. However, when performed during in-magnet exercise, RT-Cine images may exhibit significant motion artifacts. Methods: By
Externí odkaz:
http://arxiv.org/abs/2405.16715
Autor:
Zhao, Theodore, Gu, Yu, Yang, Jianwei, Usuyama, Naoto, Lee, Ho Hin, Naumann, Tristan, Gao, Jianfeng, Crabtree, Angela, Abel, Jacob, Moung-Wen, Christine, Piening, Brian, Bifulco, Carlo, Wei, Mu, Poon, Hoifung, Wang, Sheng
Biomedical image analysis is fundamental for biomedical discovery in cell biology, pathology, radiology, and many other biomedical domains. Holistic image analysis comprises interdependent subtasks such as segmentation, detection, and recognition of
Externí odkaz:
http://arxiv.org/abs/2405.12971
Publikováno v:
AI & Society 2024
Abstract. The risks AI presents to society are broadly understood to be manageable through general calculus, i.e., general frameworks designed to enable those involved in the development of AI to apprehend and manage risk, such as AI impact assessmen
Externí odkaz:
http://arxiv.org/abs/2407.10236
Autor:
Crabtree, Andy, Lodge, Tom, Chamberlain, Alan, Sailaja, Neelima, Coulton, Paul, Pilling, Matthew, Forrester, Ian
HCI is fundamentally occupied with the problem of the future and understanding the acceptability and adoption challenges that future and emerging technologies face from the viewpoint of their being situated in everyday life. This paper explicates an
Externí odkaz:
http://arxiv.org/abs/2405.02337
Biologically inspired event-based vision sensors (EVS) are growing in popularity due to performance benefits including ultra-low power consumption, high dynamic range, data sparsity, and fast temporal response. They efficiently encode dynamic informa
Externí odkaz:
http://arxiv.org/abs/2404.07656
Autor:
Chandrasekaran, Preethi, Chen, Chong, Liu, Yingmin, Arshad, Syed Murtaza, Crabtree, Christopher, Tong, Matthew, Han, Yuchi, Ahmad, Rizwan
Background: Cardiovascular magnetic resonance imaging (CMR) is a wellestablished imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress with CMR (ExCMR) can enhance its diagnostic capacity. Despite recent adva
Externí odkaz:
http://arxiv.org/abs/2402.17877
A valuable step in the modeling of multiscale dynamical systems in fields such as computational chemistry, biology, materials science and more, is the representative sampling of the phase space over long timescales of interest; this task is not, howe
Externí odkaz:
http://arxiv.org/abs/2312.05715
Autor:
Monika Lohani, Joel M. Cooper, Amy S. McDonnell, Gus G. Erickson, Trent G. Simmons, Amanda E. Carriero, Kaedyn W. Crabtree, David L. Strayer
Publikováno v:
Cognitive Research, Vol 9, Iss 1, Pp 1-9 (2024)
Abstract The reliability of cognitive demand measures in controlled laboratory settings is well-documented; however, limited research has directly established their stability under real-life and high-stakes conditions, such as operating automated tec
Externí odkaz:
https://doaj.org/article/2fc86211d08b4b02a8aad803013fd329
