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"content": "Tracing neurons in large-scale microscopy data is crucial to establishing a wiring diagram of the brain, which is needed to understand how neural circuits in the brain process information and generate behavior. Automatic techniques often fail for large and complex datasets, and connectomics researchers may spend weeks or months manually tracing neurons using 2D image stacks. We present a design study of a new virtual reality (VR) system, developed in collaboration with trained neuroanatomists, to trace neurons in microscope scans of the visual cortex of primates. We hypothesize that using consumer-grade VR technology to interact with neurons directly in 3D will help neuroscientists better resolve complex cases and enable them to trace neurons faster and with less physical and mental strain. We discuss both the design process and technical challenges in developing an interactive system to navigate and manipulate terabyte-sized image volumes in VR. Using a number of different datasets, we demonstrate that, compared to widely used commercial software, consumer-grade VR presents a promising alternative for scientists.",
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"abstract": "Geologists usually deal with rocks that are up to several thousand million years old. They try to reconstruct the tectonic settings where these rocks were formed and the history of events that affected them through the geological time. The spinel group minerals provide useful information regarding the geological environment in which the host rocks were formed. They constitute excellent indicators of geological environments (tectonic settings) and are of invaluable help in the search for mineral deposits of economic interest. The current workflow requires the scientists to work with different applications to analyze spine data. They do use specific diagrams, but these are usually not interactive. The current workflow hinders domain experts to fully exploit the potentials of tediously and expensively collected data. In this paper, we introduce the Spinel Explorer—an interactive visual analysis application for spinel group minerals. The design of the Spinel Explorer and of the newly introduced interactions is a result of a careful study of geologists' tasks. The Spinel Explorer includes most of the diagrams commonly used for analyzing spinel group minerals, including 2D binary plots, ternary plots, and 3D Spinel prism plots. Besides specific plots, conventional information visualization views are also integrated in the Spinel Explorer. All views are interactive and linked. The Spinel Explorer supports conventional statistics commonly used in spinel minerals exploration. The statistics views and different data derivation techniques are fully integrated in the system. Besides the Spinel Explorer as newly proposed interactive exploration system, we also describe the identified analysis tasks, and propose a new workflow. We evaluate the Spinel Explorer using real-life data from two locations in Argentina: the Frontal Cordillera in Central Andes and Patagonia. We describe the new findings of the geologists which would have been much more difficult to achieve using the current workflow only. Very positive feedback from geologists confirms the usefulness of the Spinel Explorer.",
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"content": "Geologists usually deal with rocks that are up to several thousand million years old. They try to reconstruct the tectonic settings where these rocks were formed and the history of events that affected them through the geological time. The spinel group minerals provide useful information regarding the geological environment in which the host rocks were formed. They constitute excellent indicators of geological environments (tectonic settings) and are of invaluable help in the search for mineral deposits of economic interest. The current workflow requires the scientists to work with different applications to analyze spine data. They do use specific diagrams, but these are usually not interactive. The current workflow hinders domain experts to fully exploit the potentials of tediously and expensively collected data. In this paper, we introduce the Spinel Explorer—an interactive visual analysis application for spinel group minerals. The design of the Spinel Explorer and of the newly introduced interactions is a result of a careful study of geologists' tasks. The Spinel Explorer includes most of the diagrams commonly used for analyzing spinel group minerals, including 2D binary plots, ternary plots, and 3D Spinel prism plots. Besides specific plots, conventional information visualization views are also integrated in the Spinel Explorer. All views are interactive and linked. The Spinel Explorer supports conventional statistics commonly used in spinel minerals exploration. The statistics views and different data derivation techniques are fully integrated in the system. Besides the Spinel Explorer as newly proposed interactive exploration system, we also describe the identified analysis tasks, and propose a new workflow. We evaluate the Spinel Explorer using real-life data from two locations in Argentina: the Frontal Cordillera in Central Andes and Patagonia. We describe the new findings of the geologists which would have been much more difficult to achieve using the current workflow only. Very positive feedback from geologists confirms the usefulness of the Spinel Explorer.",
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"content": "In 3D urban environments, features of interest (FOIs) are often occluded by clusters of buildings, which prevent a clear overview of important spatial features. State-of-the-art disocclusion methods for urban environments fall short of preserving cityscape appearance or require time-consuming computation. These methods use only one or two operators for disocclusion and might not strike a good balance between disocclusion and distortion control. We present a novel, automatic method enabling interactive context-aware visualization of urban features of interest, which combines four effective disocclusion operators including viewpoint elevation, road shifting, building scaling, and building displacement to disocclude the features of interest. Our method provides an optimum compromise among the disocclusion operators via an efficient constrained optimization and the post-polishing phrases, which minimizes the distortions while enforcing the visibility of the FOIs. The 3D views generated at interactive frame rates ensure a resemblance in the cityscape appearance to its original ones and provide a good overview of the FOIs. The experiments with real data demonstrate that our method can greatly facilitate tasks such as navigation, wayfinding, and information overlay.",
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"abstract": "Tax evasion is an illegal activity in which individuals or entities avoid paying their true tax liabilities. Efficient detection of tax evasion has always been a crucial issue for both governments and academic researchers. Recent research has proposed the use of machine learning technology to detect tax evasion and has shown good results in some specific areas. Regrettably, there are still two major obstacles to detect tax evasion. First, it is hard to extract powerful features because of the complexity of tax data. Second, due to the complicated process of tax auditing, labeled data are limited in practice. Such obstacles motivate the contributions of this work. In this paper, we propose a novel tax evasion detection framework named FBNE-PU (Fusion of the basic feature and network embedding with PU learning for tax evasion detection), a multistage method for detecting tax evasion in real-life scenarios. In this paper, we perform an in-depth analysis of the characteristics of the transaction network and propose a novel network embedding algorithm, the PnCGCN. It significantly improves detection performance by extracting powerful features from basic features and the tax-related transaction network. Moreover, we use nnPU (positive-unlabeled learning with non-negative risk estimator) to assign pseudo labels for unlabeled data. Finally, an MLP is trained as the decision function. Experiments on three real-world datasets demonstrate that our method significantly outperforms the comparison methods in the tax evasion detection task. Additionally, the source code and the experimental details have been made available at (<uri>https://github.com/PiggyGaGa/FBNE-PU</uri>).",
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"normalizedAbstract": "We discuss the concept of directness in the context of spatial interaction with visualization. In particular, we propose a model that allows practitioners to analyze and describe the spatial directness of interaction techniques, ultimately to be able to better understand interaction issues that may affect usability. To reach these goals, we distinguish between different types of directness. Each type of directness depends on a particular mapping between different spaces, for which we consider the data space, the visualization space, the output space, the user space, the manipulation space, and the interaction space. In addition to the introduction of the model itself, we also show how to apply it to several real-world interaction scenarios in visualization, and thus discuss the resulting types of spatial directness, without recommending either more direct or more indirect interaction techniques. In particular, we will demonstrate descriptive and evaluative usage of the proposed model, and also briefly discuss its generative usage.",
"title": "A Model of Spatial Directness in Interactive Visualization",
"normalizedTitle": "A Model of Spatial Directness in Interactive Visualization",
"fno": "08395068",
"hasPdf": true,
"idPrefix": "tg",
"keywords": [
"Data Visualisation",
"Interactive Systems",
"User Interfaces",
"Data Space",
"Visualization Space",
"Spatial Directness Model",
"Direct Interaction Techniques",
"Spatial Interaction",
"Interactive Visualization",
"More Indirect Interaction Techniques",
"Interaction Space",
"Manipulation Space",
"User Space",
"Output Space",
"Data Visualization",
"Three Dimensional Displays",
"Visualization",
"Object Oriented Modeling",
"Two Dimensional Displays",
"Rendering Computer Graphics",
"Computational Modeling",
"Visualization",
"Direct Interaction",
"Human Computer Interaction HCI"
],
"authors": [
{
"givenName": "Stefan",
"surname": "Bruckner",
"fullName": "Stefan Bruckner",
"affiliation": "University of Bergen, Norway, Bergen, Norway",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Tobias",
"surname": "Isenberg",
"fullName": "Tobias Isenberg",
"affiliation": "Inria, France",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Timo",
"surname": "Ropinski",
"fullName": "Timo Ropinski",
"affiliation": "Ulm University, Ulm, Germany",
"__typename": "ArticleAuthorType"
},
{
"givenName": "Alexander",
"surname": "Wiebel",
"fullName": "Alexander Wiebel",
"affiliation": "Hochschule Worms University of Applied Sciences, Worms, Germany",
"__typename": "ArticleAuthorType"
}
],
"replicability": null,
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"isOpenAccess": false,
"issueNum": "08",
"pubDate": "2019-08-01 00:00:00",
"pubType": "trans",
"pages": "2514-2528",
"year": "2019",
"issn": "1077-2626",
"isbn": null,
"notes": null,
"notesType": null,
"__typename": "ArticleType"
},
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