Search Results - "VISUAL analytics"

Viewing Visual Analytics as Model Building by Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D., Miksch, S., Rind, A.

“…To complement the currently existing definitions and conceptual frameworks of visual analytics, which focus mainly on activities performed by analysts and…”
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Visualizing for the Non‐Visual: Enabling the Visually Impaired to Use Visualization by Choi, Jinho, Jung, Sanghun, Park, Deok Gun, Choo, Jaegul, Elmqvist, Niklas

“…The majority of visualizations on the web are still stored as raster images, making them inaccessible to visually impaired users. We propose a…”
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DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks by Pezzotti, Nicola, Hollt, Thomas, Van Gemert, Jan, Lelieveldt, Boudewijn P. F., Eisemann, Elmar, Vilanova, Anna

“…Deep neural networks are now rivaling human accuracy in several pattern recognition problems. Compared to traditional classifiers, where features are…”
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A Survey of Perception-Based Visualization Studies by Task by Quadri, Ghulam Jilani, Rosen, Paul

“…Knowledge of human perception has long been incorporated into visualizations to enhance their quality and effectiveness. The last decade, in particular, has…”
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VA + Embeddings STAR: A State‐of‐the‐Art Report on the Use of Embeddings in Visual Analytics by Huang, Z., Witschard, D., Kucher, K., Kerren, A.

“…Over the past years, an increasing number of publications in information visualization, especially within the field of visual analytics, have mentioned the…”
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Approximated and User Steerable tSNE for Progressive Visual Analytics by Pezzotti, Nicola, Lelieveldt, Boudewijn P. F., Van Der Maaten, Laurens, Hollt, Thomas, Eisemann, Elmar, Vilanova, Anna

“…Progressive Visual Analytics aims at improving the interactivity in existing analytics techniques by means of visualization as well as interaction with…”
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FairSight: Visual Analytics for Fairness in Decision Making by Ahn, Yongsu, Lin, Yu-Ru

“…Data-driven decision making related to individuals has become increasingly pervasive, but the issue concerning the potential discrimination has been raised by…”
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ConceptExplainer: Interactive Explanation for Deep Neural Networks from a Concept Perspective by Huang, Jinbin, Mishra, Aditi, Kwon, Bum Chul, Bryan, Chris

“…Traditional deep learning interpretability methods which are suitable for model users cannot explain network behaviors at the global level and are inflexible…”
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The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations by Chatzimparmpas, A., Martins, R. M., Jusufi, I., Kucher, K., Rossi, F., Kerren, A.

“…Machine learning (ML) models are nowadays used in complex applications in various domains, such as medicine, bioinformatics, and other sciences. Due to their…”
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Microsoft Power BI cookbook: turn data into strategic assets with updated techniques, features, use cases and best practices by Deckler, Greg, Powell, Brett

“…<![CDATA[Unlock the full potential of Power BI with new recipes and comprehensive techniques on advanced data tools and AI features in this updated edition.Key…”
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Towards Better Bus Networks: A Visual Analytics Approach by Weng, Di, Zheng, Chengbo, Deng, Zikun, Ma, Mingze, Bao, Jie, Zheng, Yu, Xu, Mingliang, Wu, Yingcai

“…Bus routes are typically updated every 3-5 years to meet constantly changing travel demands. However, identifying deficient bus routes and finding their…”
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Towards Visual Explainable Active Learning for Zero-Shot Classification by Jia, Shichao, Li, Zeyu, Chen, Nuo, Zhang, Jiawan

“…Zero-shot classification is a promising paradigm to solve an applicable problem when the training classes and test classes are disjoint. Achieving this usually…”
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A Neural Field-Based Approach for View Computation & Data Exploration in 3D Urban Environments by Cobeli, Stefan, Omar, Kazi Shahrukh, Valenca, Rodrigo, Ferreira, Nivan, Miranda, Fabio

“…Despite the growing availability of 3D urban datasets, extracting insights remains challenging due to computational bottlenecks and the complexity of…”
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A Survey on Progressive Visualization by Ulmer, Alex, Angelini, Marco, Fekete, Jean-Daniel, Kohlhammer, Jorn, May, Thorsten

“…Currently, growing data sources and long-running algorithms impede user attention and interaction with visual analytics applications. Progressive visualization…”
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The Urban Toolkit: A Grammar-Based Framework for Urban Visual Analytics by Moreira, Gustavo, Hosseini, Maryam, Alam Nipu, Md Nafiul, Lage, Marcos, Ferreira, Nivan, Miranda, Fabio

“…While cities around the world are looking for smart ways to use new advances in data collection, management, and analysis to address their problems, the…”
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Tac-Simur: Tactic-based Simulative Visual Analytics of Table Tennis by Wang, Jiachen, Zhao, Kejian, Deng, Dazhen, Cao, Anqi, Xie, Xiao, Zhou, Zheng, Zhang, Hui, Wu, Yingcai

“…Simulative analysis in competitive sports can provide prospective insights, which can help improve the performance of players in future matches. However,…”
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ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models by Minsuk Kahng, Andrews, Pierre Y., Kalro, Aditya, Chau, Duen Horng

“…While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the…”
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Calli-VA: A Visual Analytics System for Analyzing and Comparing Chinese Calligraphic Styles by Li, Jincheng, Wu, Jinpeng, Tan, Shaocong, Du, Lin, Zhang, Yu, Yang, Chaofan, Zhang, Jiadi, Xu, Rebecca Ruige, Shi, Rui, Bai, Lu, Yuan, Xiaoru

“…Chinese calligraphy is a quintessential element of Chinese cultural heritage. Analyzing and comparing calligraphic styles not only enhances the appreciation,…”
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Conch: Competitive Debate Analysis via Visualizing Clash Points and Hierarchical Strategies by Chen, Qianhe, Wang, Yong, Yu, Yixin, Zhu, Xiyuan, Yu, Xuerou, Wang, Ran

“…In-depth analysis of competitive debates is essential for participants to develop argumentative skills and refine strategies, and further improve their…”
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TrajLens: Visual Analysis for Constructing Cell Developmental Trajectories in Cross-Sample Exploration by Wang, Qipeng, Ruan, Shaolun, Sheng, Rui, Wang, Yong, Zhu, Min, Qu, Huamin

“…Constructing cell developmental trajectories is a critical task in single-cell RNA sequencing (scRNA-seq) analysis, enabling the inference of potential…”
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