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pro vyhledávání: '"Steven M. Drucker"'
Autor:
Ángel Alexander Cabrera, Marco Tulio Ribeiro, Bongshin Lee, Robert Deline, Adam Perer, Steven M. Drucker
Publikováno v:
ACM Transactions on Computer-Human Interaction. 30:1-27
Data scientists require rich mental models of how AI systems behave to effectively train, debug, and work with them. Despite the prevalence of AI analysis tools, there is no general theory describing how people make sense of what their models have le
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
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
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-24
Machine learning (ML) has become a crucial component in software products, either as part of the user experience or used internally by software teams. Prior studies have explored how ML is affecting development team roles beyond data scientists, incl
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2021, 27 (2), ⟨10.1109/TVCG.2020.3030435⟩
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2021, 27 (2), ⟨10.1109/TVCG.2020.3030435⟩
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
Publikováno v:
2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Autor:
Steven M. Drucker, Johan Verwey, Patrice Y. Simard, Jina Suh, Soroush Ghorashi, Nan-Chen Chen, Gonzalo Ramos
Publikováno v:
ACM Transactions on Interactive Intelligent Systems. 10:1-38
When building a classifier in interactive machine learning (iML), human knowledge about the target class can be a powerful reference to make the classifier robust to unseen items. The main challenge lies in finding unlabeled items that can either hel
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 24:3032-3043
Unit visualizations are a family of visualizations where every data item is represented by a unique visual mark—a visual unit —during visual encoding. For certain datasets and tasks, unit visualizations can provide more information, better match
Autor:
Xiaoying Pu, Dominik Moritz, Arvind Satyanarayan, Matthew Kay, Jeffrey Heer, Steven M. Drucker
Publikováno v:
CHI Extended Abstracts
Visualization grammars, often based on the Grammar of Graphics, are popular choices for specifying expressive visualizations and supporting visualization systems. However, there are still open questions about grammar design and evaluation not well-an
Publikováno v:
CHI
Computational notebooks, which seamlessly interleave code with results, have become a popular tool for data scientists due to the iterative nature of exploratory tasks. However, notebooks provide a single execution state for users to manipulate throu