Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ngo, Quynh Quang"'
We propose different methods for alternative representation and visual augmentation of sheet music that help users gain an overview of general structure, repeating patterns, and the similarity of segments. To this end, we explored mapping the overall
Externí odkaz:
http://arxiv.org/abs/2308.06140
Autor:
Chen, Kun-Ting, Ngo, Quynh Quang, Kurzhals, Kuno, Marriott, Kim, Dwyer, Tim, Sedlmair, Michael, Weiskopf, Daniel
We investigate reading strategies for node-link diagrams that wrap around the boundaries in a flattened torus topology by examining eye tracking data recorded in a previous controlled study. Prior work showed that torus drawing affords greater flexib
Externí odkaz:
http://arxiv.org/abs/2303.17066
Autor:
Bauer, Ruben, Ngo, Quynh Quang, Reina, Guido, Frey, Steffen, Flemisch, Bernd, Hauser, Helwig, Ertl, Thomas, Sedlmair, Michael
We study the question of how visual analysis can support the comparison of spatio-temporal ensemble data of liquid and gas flow in porous media. To this end, we focus on a case study, in which nine different research groups concurrently simulated the
Externí odkaz:
http://arxiv.org/abs/2302.05447
We propose a data-driven approach to music instrument practice that allows studying patterns and long-term trends through visualization. Inspired by life logging and fitness tracking, we imagine musicians to record their practice sessions over the sp
Externí odkaz:
http://arxiv.org/abs/2203.13320
Publikováno v:
In Information Sciences May 2021 558:1-20
Autor:
Bauer, Ruben, Ngo, Quynh Quang, Reina, Guido, Frey, Steffen, Flemisch, Bernd, Hauser, Helwig, Ertl, Thomas, Sedlmair, Michael
Externí odkaz:
https://hdl.handle.net/11250/3145905
Publikováno v:
it - Information Technology. 64:169-180
In this article, we discuss how Visualization (VIS) with Machine Learning (ML) could mutually benefit from each other. We do so through the lens of our own experience working at this intersection for the last decade. Particularly we focus on describi
Autor:
Ngo, Quynh Quang, Linsen, Lars
Visual analysis of multi-dimensional data is commonly supported by mapping the data to a 2D embedding. When analyzing a sequence of multi-dimensional data, e.g., in case of temporal data, the usage of 1D embeddings allows for plotting the entire sequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70ab10b6d0f6939b888ddca2d5bc94bf
Visual Ensemble Analysis to Study the Influence of Hyper-parameters on Training Deep Neural Networks
A good deep neural network design allows for efficient training and high accuracy. The training step requires a suitable choice of several hyper-parameters. Limited knowledge exists on how the hyper-parameters impact the training process, what is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d519764978a560297b4291dfae3a9f
A central question in the field of Network Science is to analyze the role of a given network topology on the dynamical behavior captured by time-varying simulations executed on the network. These dynamical systems are also influenced by global simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cffd17a1b29e63879457268579e7248b