Results 331 to 340 of about 5,112,987 (375)

Visual analytics and visual audit

2022
Nowadays, increased use of audit data analytics (ADA) is likely to be important for maintaining and enhancing the relevance and value of the financial statement audit in the new “Big Data” era (AICPA, 2017). This dissertation suggests Visual analytics (VA) as an ADA tool to promote ADA adoption in auditing and proposes a new ADA methodology, named ...
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Visual Movie Analytics

IEEE Transactions on Multimedia, 2016
The analysis of inherent structures of movies plays an important role in studying stylistic devices and specific, content-related questions. Examples are the analysis of personal constellations in movie scenes, dialogue-based content analysis, or the investigation of image-based features.
Kuno Kurzhals, Markus John, Florian Heimerl, Paul Kuznecov, Daniel Weiskopf   +4 more
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Big Data Visualization and Visual Analytics of COVID-19 Data

International Conference on Information Visualisation, 2020
In the current era of big data, a huge amount of data has been generated and collected from a wide variety of rich data sources. Embedded in these big data are useful information and valuable knowledge.
C. Leung, Yubo Chen, Calvin S. H. Hoi, Siyuan Shang, Yan Wen, A. Cuzzocrea   +5 more
semanticscholar   +1 more source

Visual-Analytics Evaluation

IEEE Computer Graphics and Applications, 2009
Visual analytics (VA) is the science of analytical reasoning facilitated by interactive visual interfaces. Assessing VA technology's effectiveness is challenging because VA tools combine several disparate components, both low and high level, integrated in complex interactive systems used by analysts, emergency responders, and others.
Catherine Plaisant, Georges Grinstein, Jean Scholtz   +2 more
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Visual Analytics 101

Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016
This course will introduce the field of Visual Analytics to HCI researchers and practitioners highlighting the contributions they can make to this field. Topics will include a definition of visual analytics along with examples of current systems, types of tasks and end users, issues in defining user requirements, design of visualizations and ...
Jean Scholtz, Russ Burtner, Kristin Cook
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DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks

IEEE Transactions on Visualization and Computer Graphics, 2019
Deep Q-Network (DQN), as one type of deep reinforcement learning model, targets to train an intelligent agent that acquires optimal actions while interacting with an environment.
Junpeng Wang, Liang Gou, Han-Wei Shen, Hao Yang   +3 more
semanticscholar   +1 more source

Visual analytics for digital twins: a conceptual framework and case study

Journal of Intelligent Manufacturing, 2023
Hangbin Zheng, Tianyuan Liu, Jiayu Liu, Jinsong Bao   +3 more
semanticscholar   +1 more source

Visual Analytics and Visual Audit

Journal of Emerging Technologies in Accounting
ABSTRACT This study introduces an innovative methodology for audit data analytics (ADA) called Visual Audit, which aims to effectively integrate visual analytics (VA) into existing audit practices. Furthermore, a descriptive model called the Visual Audit Model is proposed to provide a schematic summary of the Visual Audit Methodology. To
Lu Zhang, Heejae Lee, Qi Liu, Miklos A. Vasarhelyi   +3 more
openaire   +1 more source

Visual Analytics

Controlling, 2016
Robert Ruf, Wolfgang Schwab
openaire   +1 more source

Partial recovery of visual function in a blind patient after optogenetic therapy

Nature Medicine, 2021
J-A Sahel, Chloé Pagot, Angelo Arleo
exaly