Zobrazeno 1 - 10
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pro vyhledávání: '"Tseng, Chin"'
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics (2025); 31(1)
Shape is commonly used to distinguish between categories in multi-class scatterplots. However, existing guidelines for choosing effective shape palettes rely largely on intuition and do not consider how these needs may change as the number of categor
Externí odkaz:
http://arxiv.org/abs/2408.16079
Autor:
Xiang, Siyuan, Tseng, Chin, Wen, Congcong, Desai, Deshana, Kou, Yifeng, Starly, Binil, Panozzo, Daniele, Feng, Chen
We introduce the first work on benchmarking and evaluating deep clustering algorithms on large-scale non-categorical 3D CAD models. We first propose a workflow to allow expert mechanical engineers to efficiently annotate 252,648 carefully sampled pai
Externí odkaz:
http://arxiv.org/abs/2404.19134
Publikováno v:
In Proceedings of the 26th EG/VGTC Conference on Visualization (EuroVis 2024), May 27-31, 2024, Odense, Denmark
Existing guidelines for categorical color selection are heuristic, often grounded in intuition rather than empirical studies of readers' abilities. While design conventions recommend palettes maximize hue differences, more recent exploratory findings
Externí odkaz:
http://arxiv.org/abs/2404.03787
To create effective data visualizations, it helps to represent data using visual features in intuitive ways. When visualization designs match observer expectations, visualizations are easier to interpret. Prior work suggests that several factors infl
Externí odkaz:
http://arxiv.org/abs/2309.00131
Autor:
Camur, Mustafa Can, Tseng, Chin-Yuan, Thanos, Aristotelis E., White, Chelsea C., Yund, Walter, Iakovou, Eleftherios
COVID-19 resulted in some of the largest supply chain disruptions in recent history. To mitigate the impact of future disruptions, we propose an integrated hybrid simulation framework to couple nonstationary demand signals from an event like COVID-19
Externí odkaz:
http://arxiv.org/abs/2305.00086
Scatterplots commonly use color to encode categorical data. However, as datasets increase in size and complexity, the efficacy of these channels may vary. Designers lack insight into how robust different design choices are to variations in category n
Externí odkaz:
http://arxiv.org/abs/2303.15583
Publikováno v:
In Cytotherapy October 2024 26(10):1152-1162
Publikováno v:
In Sensors and Actuators: B. Chemical 1 January 2025 422
Autor:
TSENG, CHIN-DAR, 曾慶達
107
Purpose: This thesis presents our efforts in the design and implementation of a framework for the prediction of radiation pneumonitis (RP) in radiation therapy for breast cancer. Two technical issues, namely feature selection and machine lea
Purpose: This thesis presents our efforts in the design and implementation of a framework for the prediction of radiation pneumonitis (RP) in radiation therapy for breast cancer. Two technical issues, namely feature selection and machine lea
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/zjqab6
Autor:
Lu, Song-Yu, Tseng, Chin-Chung, Yu, Cheng-Xue, Chen, To-Lin, Huang, Kuan-Hsun, Fu, Lung-Ming, Wu, Pei-Hsuan
Publikováno v:
In Sensors and Actuators: B. Chemical 1 February 2024 400 Part A