Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Drucker, Steven"'
Autor:
Inala, Jeevana Priya, Wang, Chenglong, Drucker, Steven, Ramos, Gonzalo, Dibia, Victor, Riche, Nathalie, Brown, Dave, Marshall, Dan, Gao, Jianfeng
This paper explores the potential of AI-powered tools to reshape data analysis, focusing on design considerations and challenges. We explore how the emergence of large language and multimodal models offers new opportunities to enhance various stages
Externí odkaz:
http://arxiv.org/abs/2409.18475
To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools
Externí odkaz:
http://arxiv.org/abs/2408.16119
Data analysis is challenging as it requires synthesizing domain knowledge, statistical expertise, and programming skills. Assistants powered by large language models (LLMs), such as ChatGPT, can assist analysts by translating natural language instruc
Externí odkaz:
http://arxiv.org/abs/2309.10947
AI-powered code assistants, such as Copilot, are quickly becoming a ubiquitous component of contemporary coding contexts. Among these environments, computational notebooks, such as Jupyter, are of particular interest as they provide rich interface af
Externí odkaz:
http://arxiv.org/abs/2301.11178
Natural language interfaces (NLIs) for data visualization are becoming increasingly popular both in academic research and in commercial software. Yet, there is a lack of empirical understanding of how people specify visualizations through natural lan
Externí odkaz:
http://arxiv.org/abs/2110.00680
A fundamental part of data visualization is transforming data to map abstract information onto visual attributes. While this abstraction is a powerful basis for data visualization, the connection between the representation and the original underlying
Externí odkaz:
http://arxiv.org/abs/2009.00059
While tablet devices are a promising platform for data visualization, supporting consistent interactions across different types of visualizations on tablets remains an open challenge. In this paper, we present multimodal interactions that function co
Externí odkaz:
http://arxiv.org/abs/2001.06423
Performing diagnosis or exploratory analysis during the training of deep learning models is challenging but often necessary for making a sequence of decisions guided by the incremental observations. Currently available systems for this purpose are li
Externí odkaz:
http://arxiv.org/abs/2001.01215
Autor:
Drucker, Steven M
Thesis (Ph. D.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1994.
Includes bibliographical references (leaves 194-207).
by Steven Mark Drucker.
Ph.D.
Includes bibliographical references (leaves 194-207).
by Steven Mark Drucker.
Ph.D.
Externí odkaz:
http://hdl.handle.net/1721.1/31048
Autor:
Drucker, Steven M.
Publikováno v:
Online version of thesis.
Thesis (M.S.)--Rochester Institute of Technology, 1993.
Typescript. Includes bibliographical references (leaves 100-104).
Typescript. Includes bibliographical references (leaves 100-104).
Externí odkaz:
http://hdl.handle.net/1850/11896