Zobrazeno 1 - 10
of 23 478
pro vyhledávání: '"Borland A"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics (2025); 31(1)
Providing effective guidance for users has long been an important and challenging task for efficient exploratory visual analytics, especially when selecting variables for visualization in high-dimensional datasets. Correlation is the most widely appl
Externí odkaz:
http://arxiv.org/abs/2408.16078
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics (2025); 31 (1)
"Correlation does not imply causation" is a famous mantra in statistical and visual analysis. However, consumers of visualizations often draw causal conclusions when only correlations between variables are shown. In this paper, we investigate factors
Externí odkaz:
http://arxiv.org/abs/2408.16077
Autor:
Lobach, Ihar, Borland, Michael
This research introduces a novel anomaly detection method designed to enhance the operational reliability of particle accelerators - complex machines that accelerate elementary particles to high speeds for various scientific applications. Our approac
Externí odkaz:
http://arxiv.org/abs/2405.18321
Publikováno v:
Information Visualization 2024; 23(2): 197-214
Counterfactuals -- expressing what might have been true under different circumstances -- have been widely applied in statistics and machine learning to help understand causal relationships. More recently, counterfactuals have begun to emerge as a tec
Externí odkaz:
http://arxiv.org/abs/2401.08822
Publikováno v:
IEEE Computer Graphics and Applications 2024; 44(1): 95-104
Traditional approaches to data visualization have often focused on comparing different subsets of data, and this is reflected in the many techniques developed and evaluated over the years for visual comparison. Similarly, common workflows for explora
Externí odkaz:
http://arxiv.org/abs/2401.08411
Autor:
Helena Borland Madsen, Jon Ambæk Durhuus, Ove Andersen, Per thor Straten, Anne Rahbech, Claus Desler
Publikováno v:
npj Metabolic Health and Disease, Vol 2, Iss 1, Pp 1-8 (2024)
Abstract The COVID-19 pandemic, caused by SARS-CoV-2, has resulted in widespread morbidity and mortality, with a significant portion of the affected population experiencing long-term health complications. This review explores the mechanisms of mitoch
Externí odkaz:
https://doaj.org/article/4083a3d8cd894abaa18d46f573504756
Autor:
Daniel Cowan‐Turner, Bethan A. Morris, Alexandra Sandéhn, Iwona Bernacka‐Wojcik, Eleni Stavrinidou, Robyn F. Powell, Ilia J. Leitch, Jessica Taylor, Max Walker, Osita Nwokeocha, Maxim V. Kapralov, Anne M. Borland
Publikováno v:
Plants, People, Planet, Vol 6, Iss 6, Pp 1314-1328 (2024)
Societal Impact Statement Research efforts in plant biology have often been focused on sequenced and well‐studied ‘model’ organisms. Despite the advent of relatively inexpensive genome sequencing, most plant taxonomic groups are underrepresente
Externí odkaz:
https://doaj.org/article/4d3e74b364e94063908806492daad8df
Autor:
Angela McLoughlan, Adam Semciw, Ron Borland, Brian Oldenburg, Alison Beauchamp, Hanife Mehmet, Rebecca Jessup
Publikováno v:
Journal of Multidisciplinary Care, Vol 13, Iss 1, Pp 8-14 (2024)
Background and aims: This study aimed to investigate healthcare professionals (HCPs) preparedness to continue using telehealth beyond the COVID-19 pandemic, to examine the perceived ability of HCPs to appraise the reliability of online information so
Externí odkaz:
https://doaj.org/article/3b16df466c284c6f9b5dad8a777b160c
Development and assessment of a machine learning tool for predicting emergency admission in Scotland
Autor:
James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions a
Externí odkaz:
https://doaj.org/article/87b768a0942545ce93fa1cd0c65c73ab
Autor:
Dick, Austin, Borland, Michael, Jarvis, Jonathan, Lebedev, Valeri, Piot, Philippe, Romanov, Aleksandr, Wallbank, Michael
Cooling of beams circulating in storage rings is critical for many applications including particle colliders and synchrotron light sources. A method enabling unprecedented beam-cooling rates, optical stochastic cooling (OSC), was recently demonstrate
Externí odkaz:
http://arxiv.org/abs/2306.07898