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In Defence of Visual Analytics Systems: Replies to Critics [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2022 The last decade has witnessed many visual analytics (VA) systems that make successful applications to wide-ranging domains like urban analytics and explainable AI.
Aoyu Wu +5 more
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State of the Art of Visual Analytics for eXplainable Deep Learning
Computer graphics forum (Print), 2023 The use and creation of machine‐learning‐based solutions to solve problems or reduce their computational costs are becoming increasingly widespread in many domains. Deep Learning plays a large part in this growth. However, it has drawbacks such as a lack
Biagio La Rosa +8 more
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EuroVA@EuroVisVisual Analytics often utilizes progression as a means to overcome the challenges presented by large amounts of data or extensive computations. In Progressive Visual Analytics (PVA), data gets chunked into smaller subsets, which are then processed independently, and subsequently added to a visualization that completes over time.
Schulz, Hans-Jörg, Weaver, Chris
openaire +3 more sources
VA + Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics
Computer graphics forum (Print), 2023 Over the past years, an increasing number of publications in information visualization, especially within the field of visual analytics, have mentioned the term “embedding” when describing the computational approach.
Z. Huang +3 more
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ReLive: Bridging In-Situ and Ex-Situ Visual Analytics for Analyzing Mixed Reality User Studies
International Conference on Human Factors in Computing Systems, 2022 The nascent field of mixed reality is seeing an ever-increasing need for user studies and field evaluation, which are particularly challenging given device heterogeneity, diversity of use, and mobile deployment.
Sebastian Hubenschmid +6 more
semanticscholar +1 more source
miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology
Nucleic Acids Res., 2020 miRNet is an easy-to-use, web-based platform designed to help elucidate microRNA (miRNA) functions by integrating users' data with existing knowledge via network-based visual analytics. Since its first release in 2016, miRNet has been accessed by >20 000
Le Chang +3 more
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OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data
Nucleic Acids Res., 2021 Data analysis and interpretation remain a critical bottleneck in current multi-omics studies. Here, we introduce OmicsAnalyst, a user-friendly, web-based platform that allows users to perform a wide range of well-established data-driven approaches for ...
Guangyan Zhou, J. Ewald, J. Xia
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Visual Analytics for Human-Centered Machine Learning
IEEE Computer Graphics and Applications, 2022 We introduce a new research area in visual analytics (VA) aiming to bridge existing gaps between methods of interactive machine learning (ML) and eXplainable Artificial Intelligence (XAI), on one side, and human minds, on the other side.
N. Andrienko +4 more
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A survey of visual analytics techniques for machine learning [PDF]
Computational Visual Media, 2020 Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization. To better identify which research topics are promising and to learn how to apply relevant techniques in visual analytics, we ...
Jun Yuan +5 more
semanticscholar +1 more source
Nucleic Acids Res., 2019 The growing application of gene expression profiling demands powerful yet user-friendly bioinformatics tools to support systems-level data understanding.
Guangyan Zhou +5 more
semanticscholar +1 more source