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Visualization of the Critical Patterns of Missing Values in Classification Data

2007
The patterns of missing values are important for assessing the quality of a classification data set and the validation of classification results. The paper discusses the critical patterns of missing values in a classification data set: missing at random, uneven symmetric missing, and uneven asymmetric missing.
Hai Wang, Shouhong Wang
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Critically Engaging with Data Visualization through an Information Literacy Framework

2018
The proliferation of tools that enable anyone to create visualizations of their data, even with limited experience or skills, has made data visualization more accessible than ever before. This is true in its use in both teaching and learning, as data visualization has increasingly taken on an important pedagogical role in the classroom and in scholarly
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Revealing the Interface: Live Coding as a Critical Practice of Artistic Data Visualization

In a highly data-driven reality, where code and algorithms are shaping most everyday digital interactions, and with the possibilities introduced by generative artificial intelligences (AI), data visualization challenges traditional systems of representation and opens up a world of analytical and graphical opportunities.
Blasco-Soplon, Laia   +3 more
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Using data visualizations as information communication tools during a crisis: a critical review

Journal of Information, Communication and Ethics in Society
Purpose This paper aims to review and critically assess the role that data visualizations played as communication media tools to help society during a worldwide crisis. This paper re-creates and analyzes several visualizations, critically and ethically assesses their strengths and limitations and provides a set of best practices that are informative ...
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Critical Data Visualization—Part I

IEEE Computer Graphics and Applications
Georgia Panagiotidou   +4 more
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Beyond Vision: A Critical Review of Bioinspired Multimodal Gesture Recognition Integrating Visual and Somatosensory Data

Abstract Gesture recognition is an important aspect to improve human–machine interfaces, such as robotics, healthcare and cyber-physical systems, etc. The work of Wang et al. Additionally had been reviewed. (2020) introduces a bioinspired architecture fusing visual information from cameras with somatosensory information captured by stretchable skin ...
Suhendra, Nandang   +3 more
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Val-LLM: A Visual Analytics Approach for the Critical Validation of LLM-Generated Tabular Data

Large Language Models (LLMs) are emerging as promising approaches for tabular data generation and enrichment, helping to ease constraints related to data availability. However, the reliable use of LLM-generated data remains challenging, e.g., due to hallucinations and inconsistencies.
Sachdeva, Madhav   +4 more
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