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Vis Inf
Vis Inf  2021, Vol. 5 Issue (1): 14-22    DOI: https://doi.org/10.1016/j.visinf.2020.12.001
论文     
亚利桑那州立大学可视分析和数据探索研究实验室
Ross Maciejewski, Yuxin Ma, Jonas Lukasczyk
Arizona State University, United States of America
The Visual Analytics and Data Exploration Research Lab at Arizona State University
Ross Maciejewski, Yuxin Ma, Jonas Lukasczyk
Arizona State University, United States of America
 全文: PDF 
摘要： 本文介绍了亚利桑那州立大学可视分析和数据探索研究（VADER）实验室的研究议程。 在过去的十年中，VADER实验室致力于为时空数据创建新颖的算法，工具和可视化。 本文将重点介绍本实验室在时空分析，可解释的人工智能，图挖掘和数学拓扑方面的成功。我们将阐述时空分析的基础是如何为VADER实验室的各个研究方向提供信息，以及该研究议程如何形成强大的国际合作网络。 最后，我们将概述实验室未来的研究愿景。
关键词： 可视化;  时空;  可解释的人工智能;  拓扑结构    
Abstract: This article describes the research agenda for the Visual Analytics and Data Exploration Research (VADER) Lab at Arizona State University. Over the past decade, the VADER Lab has focused on creating novel algorithms, tools and visualizations for spatiotemporal data. This article will highlight past success in spatiotemporal analysis, explainable AI, graph mining, and mathematical topology. While, at first, these topics seem largely disjoint, we will describe how the underpinnings of spatiotemporal analysis has informed the various research directions in the VADER Lab, and how this research agenda has served to form a network of strong international collaborations. Finally, we will outline a vision for the Lab’s future research.
Key words: Visualization    Spatiotemporal    Explainable AI    Topology
出版日期: 2021-01-20
通讯作者: Ross Maciejewski     E-mail: rmacieje@asu.edu
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Ross Maciejewski
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Ross Maciejewski, Yuxin Ma, Jonas Lukasczyk. The Visual Analytics and Data Exploration Research Lab at Arizona State University. Vis Inf, 2021, 5(1): 14-22.

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http://www.zjujournals.com/vi/CN/https://doi.org/10.1016/j.visinf.2020.12.001    或    http://www.zjujournals.com/vi/CN/Y2021/V5/I1/14

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