Zobrazeno 1 - 10
of 529
pro vyhledávání: '"Hajas, A."'
Current autonomous driving perception models primarily rely on supervised learning with predefined categories. However, these models struggle to detect general obstacles not included in the fixed category set due to their variability and numerous edg
Externí odkaz:
http://arxiv.org/abs/2408.12322
Autor:
Zong, Jonathan, Pineros, Isabella Pedraza, Chen, Mengzhu Katie, Hajas, Daniel, Satyanarayan, Arvind
We present Umwelt, an authoring environment for interactive multimodal data representations. In contrast to prior approaches, which center the visual modality, Umwelt treats visualization, sonification, and textual description as coequal representati
Externí odkaz:
http://arxiv.org/abs/2403.00106
Customization is crucial for making visualizations accessible to blind and low-vision (BLV) people with widely-varying needs. But what makes for usable or useful customization? We identify four design goals for how BLV people should be able to custom
Externí odkaz:
http://arxiv.org/abs/2307.08773
Autor:
Matuszka, Tamás, Barton, Iván, Butykai, Ádám, Hajas, Péter, Kiss, Dávid, Kovács, Domonkos, Kunsági-Máté, Sándor, Lengyel, Péter, Németh, Gábor, Pető, Levente, Ribli, Dezső, Szeghy, Dávid, Vajna, Szabolcs, Varga, Bálint
Autonomous driving is a popular research area within the computer vision research community. Since autonomous vehicles are highly safety-critical, ensuring robustness is essential for real-world deployment. While several public multimodal datasets ar
Externí odkaz:
http://arxiv.org/abs/2211.09445
Autor:
Zong, Jonathan, Lee, Crystal, Lundgard, Alan, Jang, JiWoong, Hajas, Daniel, Satyanarayan, Arvind
Publikováno v:
Computer Graphics Forum (Proc. EuroVis), 2022
Current web accessibility guidelines ask visualization designers to support screen readers via basic non-visual alternatives like textual descriptions and access to raw data tables. But charts do more than summarize data or reproduce tables; they aff
Externí odkaz:
http://arxiv.org/abs/2205.04917
Autor:
Schmid, Barbara, Schöngruber, Thomas, Wojcik, Tomasz, Hajas, Bálint, Ntemou, Eleni, Primetzhofer, Daniel, Fickl, Bernhard, Bermanschläger, Sarah Christine, Kolozsvari, Szilard, Koutná, Nikola, Mayrhofer, Paul Heinz
Publikováno v:
In Materials & Design December 2024 248
Autor:
Maureen Markle-Reid, Kathryn Fisher, Kimberly M. Walker, Marla Beauchamp, Jill I. Cameron, David Dayler, Rebecca Fleck, Amiram Gafni, Rebecca Ganann, Ken Hajas, Barbara Koetsier, Robert Mahony, Chris Pollard, Jim Prescott, Tammy Rooke, Carly Whitmore
Publikováno v:
BMC Geriatrics, Vol 23, Iss 1, Pp 1-22 (2023)
Abstract Background This study aimed to test, in real-world clinical practice, the effectiveness of a Transitional Care Stroke Intervention (TCSI) compared to usual care on health outcomes, self-management, patient experience, and health and social s
Externí odkaz:
https://doaj.org/article/b174246e37a045e9b4d257e4b04a00a1
Publikováno v:
Biomedical Papers, Vol 167, Iss 3, Pp 303-308 (2023)
Introduction. Chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids (CLIPPERS) is a rare inflammatory central nervous system (CNS) disorder, chiefly involving the brainstem, especially the pons. The diagnosis i
Externí odkaz:
https://doaj.org/article/5f2e7ef956d448399ba740e0011c840d
Publikováno v:
In Annals of Nuclear Energy January 2024 195
Autor:
Hajas, Csilla, Zempléni, András
This paper shows an analysis of the gridded European precipitation data. We combine simple linear regression with data mining tools like clustering, and evaluate the strength of the results by the modern bootstrap methods. We have used the 0.5 grade-
Externí odkaz:
http://arxiv.org/abs/1810.13014