Interactive visual analysis
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Approximated and User Steerable tSNE for Progressive Visual Analytics Open
Progressive Visual Analytics aims at improving the interactivity in existing analytics techniques by means of visualization as well as interaction with intermediate results. One key method for data analysis is dimensionality reduction, for…
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A survey of visual analytics techniques for machine learning Open
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 anal…
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What you see is what you can change: Human-centered machine learning by interactive visualization Open
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Personal Augmented Reality for Information Visualization on Large Interactive Displays Open
In this work we propose the combination of large interactive displays with personal head-mounted Augmented Reality (AR) for information visualization to facilitate data exploration and analysis. Even though large displays provide more disp…
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Four types of ensemble coding in data visualizations Open
Ensemble coding supports rapid extraction of visual statistics about distributed visual information. Researchers typically study this ability with the goal of drawing conclusions about how such coding extracts information from natural scen…
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ImaCytE: Visual Exploration of Cellular Micro-Environments for Imaging Mass Cytometry Data Open
Tissue functionality is determined by the characteristics of tissue-resident cells and their interactions within their microenvironment. Imaging Mass Cytometry offers the opportunity to distinguish cell types with high precision and link t…
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MARVIS: Combining Mobile Devices and Augmented Reality for Visual Data Analysis Open
We present Marvis, a conceptual framework that combines mobile devices and head-mounted Augmented Reality (AR) for visual data analysis. We propose novel concepts and techniques addressing visualization-specific challenges. By showing addi…
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How Progressive Visualizations Affect Exploratory Analysis Open
The stated goal for visual data exploration is to operate at a rate that matches the pace of human data analysts, but the ever increasing amount of data has led to a fundamental problem: datasets are often too large to process within inter…
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MIRIA: A Mixed Reality Toolkit for the In-Situ Visualization and Analysis of Spatio-Temporal Interaction Data Open
In this paper, we present MIRIA, a Mixed Reality Interaction Analysis toolkit designed to support the in-situ visual analysis of user interaction in mixed reality and multi-display environments. So far, there are few options to effectively…
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Clustering and Classification for Time Series Data in Visual Analytics: A Survey Open
Visual analytics for time series data has received a considerable amount of attention. Different approaches have been developed to understand the characteristics of the data and obtain meaningful statistics in order to explore the underlyi…
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STREAM: Exploring the Combination of Spatially-Aware Tablets with Augmented Reality Head-Mounted Displays for Immersive Analytics Open
Recent research in the area of immersive analytics demonstrated the utility of head-mounted augmented reality devices for visual data analysis. However, it can be challenging to use the by default supported mid-air gestures to interact wit…
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Designing Progressive and Interactive Analytics Processes for High-Dimensional Data Analysis Open
In interactive data analysis processes, the dialogue between the human and the computer is the enabling mechanism that can lead to actionable observations about the phenomena being investigated. It is of paramount importance that this dial…
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Visual exploration of machine learning results using data cube analysis Open
As complex machine learning systems become more widely adopted, it becomes increasingly challenging for users to understand models or interpret the results generated from the models. We present our ongoing work on developing interactive an…
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Big Data Visualization and Visual Analytics of COVID-19 Data Open
FIGURES 42–47. Belisana yalong sp. nov. 42–43. Male left palp, prolateral (42) and retrolateral (43) views; 44. Male left procursus, prolateral view; 45. Male chelicerae, frontal view; 46–47. Cleared epigynum, ventral (46) and dorsal (47) …
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Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics Open
Machine learning models are currently being deployed in a variety of real-world applications where model predictions are used to make decisions about healthcare, bank loans, and numerous other critical tasks. As the deployment of artificia…
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A model-driven approach to automate data visualization in big data analytics Open
In big data analytics, advanced analytic techniques operate on big datasets aimed at complementing the role of traditional OLAP for decision making. To enable companies to take benefit of these techniques despite the lack of in-house techn…
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An Interactive Visual Analytics Platform for Smart Intelligent Transportation Systems Management Open
The reduction of road congestion requires intuitive urban congestion-control platforms that can facilitate transport stakeholders in decision making. Interactive ITS visual analytics tools can be of significant assistance, through their re…
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Visualization and Visual Analytics Approaches for Image and Video Datasets: A Survey Open
Image and video data analysis has become an increasingly important research area with applications in different domains such as security surveillance, healthcare, augmented and virtual reality, video and image editing, activity analysis an…
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Scalable Predictive Analysis in Critically Ill Patients Using a Visual Open Data Analysis Platform Open
With the accumulation of large amounts of health related data, predictive analytics could stimulate the transformation of reactive medicine towards Predictive, Preventive and Personalized (PPPM) Medicine, ultimately affecting both cost and…
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Performance Analysis, Design Considerations, and Applications of Extreme-Scale In Situ Infrastructures Open
A key trend facing extreme-scale computational science is the widening gap between computational and I/O rates, and the challenge that follows is how to best gain insight from simulation data when it is increasingly impractical to save it …
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A survey of urban visual analytics: Advances and future directions Open
Developing effective visual analytics systems demands care in characterization of domain problems and integration of visualization techniques and computational models. Urban visual analytics has already achieved remarkable success in tackl…
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Exploring the design space of immersive urban analytics Open
Recent years have witnessed the rapid development and wide adoption of immersive head-mounted devices, such as HTC VIVE, Oculus Rift, and Microsoft HoloLens. These immersive devices have the potential to significantly extend the methodolog…
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Visual Analysis of Discrimination in Machine Learning Open
The growing use of automated decision-making in critical applications, such as crime prediction and college admission, has raised questions about fairness in machine learning. How can we decide whether different treatments are reasonable o…
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A theoretical model for pattern discovery in visual analytics Open
The word ‘pattern’ frequently appears in the visualisation and visual analytics literature, but what do we mean when we talk about patterns? We propose a practicable definition of the concept of a pattern in a data distribution as a combin…
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Instant Construction and Visualization of Crowded Biological Environments Open
We present the first approach to integrative structural modeling of the biological mesoscale within an interactive visual environment. These complex models can comprise up to millions of molecules with defined atomic structures, locations,…
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Semantics-Space-Time Cube: A Conceptual Framework for Systematic Analysis of Texts in Space and Time Open
We propose an approach to analyzing data in which texts are associated with spatial and temporal references with the aim to understand how the text semantics vary over space and time. To represent the semantics, we apply probabilistic topi…
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TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data Open
TissUUmaps 3 provides significantly improved performance for large multiplex datasets as compared to previous versions. We envision TissUUmaps to contribute to broader dissemination and flexible sharing of largescale spatial omics data.
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Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots Open
We present the design and evaluation of an integrated problem solving environment for cancer therapy analysis. The environment intertwines a statistical martingale model and a K Nearest Neighbor approach with visual encodings, including no…
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STAR: Visual Computing in Materials Science Open
Visual computing has become highly attractive for boosting research endeavors in the materials science domain. Using visual computing, a multitude of different phenomena may now be studied, at various scales, dimensions, or using different…
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StreamStory: Exploring Multivariate Time Series on Multiple Scales Open
This paper presents an approach for the interactive visualization, exploration and interpretation of large multivariate time series. Interesting patterns in such datasets usually appear as periodic or recurrent behavior often caused by the…