Zobrazeno 1 - 10
of 74
pro vyhledávání: '"EUNYEE KOH"'
Autor:
Ryan Aponte, Ryan Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen Ahmed
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Autor:
Md Main Uddin Rony, Fan Du, Ryan Rossi, Jane Hoffswell, Niyati Chhaya, Iftikhar Burhanuddin, Eunyee Koh
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Autor:
Camille Harris, Ryan Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Autor:
Arpit Narechania, Fan Du, Atanu R Sinha, Ryan Rossi, Jane Hoffswell, Shunan Guo, Eunyee Koh, Shamkant B Navathe, Alex Endert
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address this challenge by modeling and visualizing two kinds of auxiliary information: (1) quality - the validity and appropriateness of data required to perform cer
Autor:
Gromit Yeuk-Yin Chan, Shunan Guo, Caroline Kim, Cole Connelly, Michelle Lee, Andrew Thomson, Eunyee Koh
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-11
Most real-world datasets contain missing values yet most exploratory data analysis (EDA) systems only support visualising data points with complete cases. This omission may potentially lead the user to biased analyses and insights. Imputation techniq
Autor:
Phoebe Moh, Sana Malik, Fan Du, Leilani Battle, Eunyee Koh, Tak Yeon Lee, Jane Hoffswell, Zehua Zeng
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:346-356
Although we have seen a proliferation of algorithms for recommending visualizations, these algorithms are rarely compared with one another, making it difficult to ascertain which algorithm is best for a given visual analysis scenario. Though several
ARShopping: In-Store Shopping Decision Support Through Augmented Reality and Immersive Visualization
Publikováno v:
2022 IEEE Visualization and Visual Analytics (VIS).
Online shopping gives customers boundless options to choose from, backed by extensive product details and customer reviews, all from the comfort of home; yet, no amount of detailed, online information can outweigh the instant gratification and hands-
Publikováno v:
2022 IEEE Visualization and Visual Analytics (VIS).
Autor:
Paula Kayongo, Jane Hoffswell, Shiv Saini, Shaddy Garg, Eunyee Koh, Haoliang Wang, Tom Jacobs
Publikováno v:
2022 Working Conference on Software Visualization (VISSOFT).