Zobrazeno 1 - 10
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pro vyhledávání: '"Jeon, Hyeon"'
Autor:
Kim, Jaeyoung, Lee, Sihyeon, Jeon, Hyeon, Lee, Keon-Joo, Bae, Hee-Joon, Kim, Bohyoung, Seo, Jinwook
Acute stroke demands prompt diagnosis and treatment to achieve optimal patient outcomes. However, the intricate and irregular nature of clinical data associated with acute stroke, particularly blood pressure (BP) measurements, presents substantial ob
Externí odkaz:
http://arxiv.org/abs/2407.16329
Scatterplots are frequently shared across different displays in collaborative and communicative visual analytics. However, variations in displays diversify scatterplot sizes. Such variations can influence the perception of clustering patterns, introd
Externí odkaz:
http://arxiv.org/abs/2407.16322
Dynamic networks represent the complex and evolving interrelationships between real-world entities. Given the scale and variability of these networks, finding an optimal slicing interval is essential for meaningful analysis. Nonuniform timeslicing, w
Externí odkaz:
http://arxiv.org/abs/2404.06021
This paper investigates the impact of observations on atmospheric state estimation in weather forecasting systems using graph neural networks (GNNs) and explainability methods. We integrate observation and Numerical Weather Prediction (NWP) points in
Externí odkaz:
http://arxiv.org/abs/2403.17384
In image classification, a significant problem arises from bias in the datasets. When it contains only specific types of images, the classifier begins to rely on shortcuts - simplistic and erroneous rules for decision-making. This leads to high perfo
Externí odkaz:
http://arxiv.org/abs/2403.15013
Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven conversational agents have fixed persona
Externí odkaz:
http://arxiv.org/abs/2402.15265
The impact of meteorological observations on weather forecasting varies with sensor type, location, time, and other environmental factors. Thus, quantitative analysis of observation impacts is crucial for effective and efficient development of weathe
Externí odkaz:
http://arxiv.org/abs/2402.14861
Autor:
Ko, Hyung-Kwon, Jeon, Hyeon, Park, Gwanmo, Kim, Dae Hyun, Kim, Nam Wook, Kim, Juho, Seo, Jinwook
Publikováno v:
In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11-16, 2024, Honolulu, HI, USA
We introduce VL2NL, a Large Language Model (LLM) framework that generates rich and diverse NL datasets using only Vega-Lite specifications as input, thereby streamlining the development of Natural Language Interfaces (NLIs) for data visualization. To
Externí odkaz:
http://arxiv.org/abs/2309.10245
A common way to evaluate the reliability of dimensionality reduction (DR) embeddings is to quantify how well labeled classes form compact, mutually separated clusters in the embeddings. This approach is based on the assumption that the classes stay a
Externí odkaz:
http://arxiv.org/abs/2308.00278
Autor:
Jeon, Hyeon, Quadri, Ghulam Jilani, Lee, Hyunwook, Rosen, Paul, Szafir, Danielle Albers, Seo, Jinwook
Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the ways of perceiving clusters (i.e., conducting visual clustering) can diff
Externí odkaz:
http://arxiv.org/abs/2308.00284