Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tanja Munz"'
Autor:
Tanja Munz-Körner, Daniel Weiskopf
Publikováno v:
Visual Informatics, Vol 8, Iss 2, Pp 27-42 (2024)
Dimensionality reduction is often used to project time series data from multidimensional to two-dimensional space to generate visual representations of the temporal evolution. In this context, we address the problem of multidimensional time series vi
Externí odkaz:
https://doaj.org/article/8c496cbfdcb54d8cb34bdd3c07c02037
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 4, Iss 1, Pp 1-13 (2021)
Abstract In this paper, we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural networks. Our technique allows the user to interactively inspect how hidden states stor
Externí odkaz:
https://doaj.org/article/54a6968391bc46188bcfac4e540c2c56
Publikováno v:
Journal of Eye Movement Research, Vol 12, Iss 6 (2019)
This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. Even when the same algorithms ar
Externí odkaz:
https://doaj.org/article/798dd67ea5d248229f3ba038384fdbb2
Publikováno v:
Computers & Graphics. 103:45-60
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 4, Iss 1, Pp 1-13 (2021)
Visual Computing for Industry, Biomedicine, and Art
Visual Computing for Industry, Biomedicine, and Art
In this paper, we introduce a visual analytics approach aimed at helping machine learning experts analyze the hidden states of layers in recurrent neural networks. Our technique allows the user to interactively inspect how hidden states store and pro
Publikováno v:
VINCI
We introduce an approach for the visual analysis of eye movement data from two people playing competitive virtual board games. Our approach provides methods to temporally synchronize and spatially register gaze and mouse recordings from two eye track
Autor:
Michael Neumann, Frank Heyen, Michael Sedlmair, Daniel Weiskopf, Daniel Ortega, Tanja Munz, Ngoc Thang Vu
Publikováno v:
AVI
We propose ClaVis, a visual analytics system for comparative analysis of classification models. ClaVis allows users to visually compare the performance and behavior of tens to hundreds of classifiers trained with different hyperparameter configuratio
Publikováno v:
Journal of Eye Movement Research, Vol 12, Iss 6 (2019)
Journal of Eye Movement Research; Bd. 12 Nr. 6 (2019): Special Thematic Issue, part 1 "Microsaccades: Empirical Research and Methodological Advances“
Journal of Eye Movement Research; Vol. 12 No. 6 (2019): Special Thematic Issue, part 1 "Microsaccades: Empirical Research and Methodological Advances“
Journal of Eye Movement Research
Journal of Eye Movement Research; Bd. 12 Nr. 6 (2019): Special Thematic Issue, part 1 "Microsaccades: Empirical Research and Methodological Advances“
Journal of Eye Movement Research; Vol. 12 No. 6 (2019): Special Thematic Issue, part 1 "Microsaccades: Empirical Research and Methodological Advances“
Journal of Eye Movement Research
This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. Even when the same algorithms ar
Publikováno v:
30th IEEE Visualization Conference, IEEE VIS 2019: Short Papers, Vancouver, BC, Canada, October 20-25, 2019, 251-255
STARTPAGE=251;ENDPAGE=255;TITLE=30th IEEE Visualization Conference, IEEE VIS 2019
IEEE VIS (Short Papers)
STARTPAGE=251;ENDPAGE=255;TITLE=30th IEEE Visualization Conference, IEEE VIS 2019
IEEE VIS (Short Papers)
Generalized Pythagoras trees were developed for visualizing hierarchical data, producing organic, fractal-like representations. However, the drawback of the original layout algorithm is visual overlap of tree branches. To avoid such overlap, we intro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::511bf2aa7f247838e15e84ea308c7733
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85076810682
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85076810682
Publikováno v:
VISSOFT
Work processes involving dozens or hundreds of collaborators are complex and difficult to manage. Problems within the process may have severe organizational and financial consequences. Visualization helps monitor and analyze those processes. In this