2,226 resources related to Visual Analytics
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
2019 IEEE International Professional Communication Conference (ProComm)
The scope of the conference includes the study, development, improvement, and promotion ofeffective techniques for preparing, organizing, processing, editing, collecting, conserving,teaching, and disseminating any form of technical information by and to individuals and groupsby any method of communication. It also includes technical, scientific, industrial, and otheractivities that contribute to the techniques and products used in this field.
WSC is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting for practitioners, researchers, and vendors.
The international IEEE Aerospace Conference is organized to promote interdisciplinaryunderstanding of aerospace systems, their underlying science, and technology
The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME also features an Exposition of multimedia products and prototypes.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
Physics, medicine, astronomy—these and other hard sciences share a common need for efficient algorithms, system software, and computer architecture to address large computational problems. And yet, useful advances in computational techniques that could benefit many researchers are rarely shared. To meet that need, Computing in Science & Engineering (CiSE) presents scientific and computational contributions in a clear and accessible format. ...
Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...
2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 2015
The VAST Challenge has been a popular venue for academic and industry participants for over ten years. Many participants comment that the majority of their time in preparing VAST Challenge entries is discovering elements in their software environments that need to be redesigned in order to solve the given task. Fortunately, there is no need to wait until the VAST ...
2010 IEEE Symposium on Visual Analytics Science and Technology, 2010
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics environment they are each developing their own unique analytic process. The goal of ALIDA is to observe and record the human- computer interactions and utilize these observations as a means of supporting user ...
2016 New York Scientific Data Summit (NYSDS), 2016
The growth of digital data is tremendous. Any aspect of life and matter is being recorded and stored on cheap disks, either in the cloud, in businesses, or in research labs. We can now afford to explore very complex relationships with many variables playing a part. But for this we need powerful tools that allow us to be creative, to ...
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 2014
IST-110 is the North Atlantic Treaty Organization (NATO) Research Task Group on visualization for analysis. The Group works to promote the research and deployment of visual analytics techniques among the NATO member nations and partner nations. The Group promotes collaboration and research in a broad range of NATO application areas. This poster describes an exploration of the Royal Netherlands Air ...
2009 IEEE Symposium on Visual Analytics Science and Technology, 2009
The current visual analytics literature highlights design and evaluation processes that are highly variable and situation dependent, which raises at least two broad challenges. First, lack of a standardized evaluation criterion leads to costly re-designs for each task and specific user community. Second, this inadequacy in criterion validation raises significant uncertainty regarding visualization outputs and their related decisions, which may ...
Life Sciences: Visual Prosthetics Bioengineering, Nigel Lovell
V-Big Data: An Introduction
Modeling Intermediate Visual Features in fMRI - Mark Lescroart (2015-HKN-SLC)
Big Data Analytics: Tools and Technologies - Big Data Analytics Tutorial Part 2
Mahmoud Daneshmand on IoT and Big Data Analytics: IoT: Even Bigger Data
Jeff Voas on the Internet of Things and Big Data Analytics - WF-IoT 2015
Skillful Manipulation Based on High-Speed Sensory-Motor Fusion
Performance Analytics, Valuation Trends & the M&A Market
The role of aggregation guided by fuzzy quantifiers in Information Retrieval and in Social Media Analytics
Helping Your Members Building Writing and Presentation Skills - Ryan Boettger - Sections Congress 2017
Q&A with Yung-Hsiang Lu: IEEE Rebooting Computing Podcast, Episode 5
Big Data and Analytics at Verizon
Challenges and SP Tools for Big Data Analytics
High-Resolution Earthquake Simulations
Visual Wake Words Challenge - Aakanksha Chowdhery - LPIRC 2019
CB: Exploring Neuroscience with a Humanoid Research Platform
ICRA Exhibitor Overview 2010
Kazunori Iwasa: Challenges in Controlling Data Center Facilities - IoT Challenges Industry Forum Panel: WF IoT 2016
How Analytics Measure Up In Fog Environments - Panel Discussion - Fog World Congress 2017
The VAST Challenge has been a popular venue for academic and industry participants for over ten years. Many participants comment that the majority of their time in preparing VAST Challenge entries is discovering elements in their software environments that need to be redesigned in order to solve the given task. Fortunately, there is no need to wait until the VAST Challenge is announced to test out software systems. The Visual Analytics Benchmark Repository contains all past VAST Challenge tasks, data, solutions and submissions. In this poster we describe how developers can perform informal evaluations of various aspects of their visual analytics environments using VAST Challenge information.
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics environment they are each developing their own unique analytic process. The goal of ALIDA is to observe and record the human- computer interactions and utilize these observations as a means of supporting user exploration; ALIDA does this by using interaction to make decision about user interest. As such, ALIDA is designed to track the decision history (interactions) of a user. This history is then utilized to enhance the user's decision-making process by allowing the user to return to previously visited search states, as well as providing suggestions of other search states that may be of interest based on past exploration modalities. The agent passes these suggestions (or decisions) back to an interactive visualization prototype, and these suggestions are used to guide the user, either by suggesting searches or changes to the visualization view. Current work has tested ALIDA under the exploration of homonyms for users wishing to explore word linkages within a dictionary. Ongoing work includes using ALIDA to guide users in transfer function design for volume rendering within scientific gateways.
The growth of digital data is tremendous. Any aspect of life and matter is being recorded and stored on cheap disks, either in the cloud, in businesses, or in research labs. We can now afford to explore very complex relationships with many variables playing a part. But for this we need powerful tools that allow us to be creative, to sculpt this intricate insight formulated as models from the raw block of data. High-quality visual feedback plays a decisive role here. The subject of this poster is a framework we have developed over the years to make the exploration of large multivariate data more intuitive and direct. The components of this framework were conceived in tight collaborations with domain experts in the fields of climate science, health informatics, computer systems, and others.
IST-110 is the North Atlantic Treaty Organization (NATO) Research Task Group on visualization for analysis. The Group works to promote the research and deployment of visual analytics techniques among the NATO member nations and partner nations. The Group promotes collaboration and research in a broad range of NATO application areas. This poster describes an exploration of the Royal Netherlands Air Force (RNLAF) Wildlife Strike Database: it outlines the initial stages of a Visual Analytics approach to understanding, exploring, visualizing and analysing the raw data. The aim of the research is to address the management of wildlife strikes in and around airports by considering the `5 W questions', i.e., `where' and `when' do `which species', in `what number', collide with aircraft, and `why are wildlife at the airport'?
The current visual analytics literature highlights design and evaluation processes that are highly variable and situation dependent, which raises at least two broad challenges. First, lack of a standardized evaluation criterion leads to costly re-designs for each task and specific user community. Second, this inadequacy in criterion validation raises significant uncertainty regarding visualization outputs and their related decisions, which may be especially troubling in high consequence environments like those of the intelligence community. As an attempt to standardize the ldquoapples and orangesrdquo of the extant situation, we propose the creation of standardized evaluation tools using general principles of human cognition. Theoretically, visual analytics enables the user to see information in a way that should attenuate the user's memory load and increase the user's task-available cognitive resources. By using general cognitive abilities like available working memory resources as our dependent measures, we propose to develop standardized evaluative capabilities that can be generalized across contexts, tasks, and user communities.
Computational and experimental sciences produce and collect ever- larger and complex datasets, often in large-scale, multi-institution projects. The inability to gain insight into complex scientific phenomena using current software tools is a bottleneck facing virtually all endeavors of science. In this paper, we introduce Sunfall, a collaborative visual analytics system developed for the Nearby Supernova Factory, an international astrophysics experiment and the largest data volume supernova search currently in operation. Sunfall utilizes novel interactive visualization and analysis techniques to facilitate deeper scientific insight into complex, noisy, high- dimensional, high-volume, time-critical data. The system combines novel image processing algorithms, statistical analysis, and machine learning with highly interactive visual interfaces to enable collaborative, user-driven scientific exploration of supernova image and spectral data. Sunfall is currently in operation at the Nearby Supernova Factory; it is the first visual analytics system in production use at a major astrophysics project.
MobiVis is a visual analytics tools to aid in the process of processing and understanding complex relational data, such as social networks. At the core of these tools is the ability to filter complex networks structurally and semantically, which helps us discover clusters and patterns in the organization of social networks. Semantic filtering is obtained via an ontology graph, based on another visual analytics tool, called OntoVis. In this summary, we describe how these tools where used to analyze one of the mini-challenges of the 2008 VAST challenge.
The poster introduces interactive multiobjective optimization (IMO) as a field offering new application possibilities and challenges for visual analytics (VA), and aims at inspiring collaboration between the two fields. Our aim is to collect new ideas in order to be able to utilize VA techniques more effectively in our user interface development. Simulation-based IMO methods are developed for complex problem solving, where the expert decision maker (analyst) should be supported during the iterative process of eliciting preference information and examining the resulting output data. IMO is a subfield of multiple criteria decision making (MCDM). In simulation-based IMO, the optimization task is formulated in a mathematical model containing several conflicting objectives and constraints depending on decision variables. While using IMO methods the analyst progressively provides preference information in order to find the most satisfactory compromise between the conflicting objectives. In the poster, the implementations of two new IMO methods are used as examples to demonstrate concrete challenges of interaction design. One of them is described in this summary.
GeoTime and nSpace2 are interactive visual analytics tools that were used to examine and interpret all four of the 2008 VAST Challenge datasets. GeoTime excels in visualizing event patterns in time and space, or in time and any abstract landscape, while nSpace2 is a web-based analytical tool designed to support every step of the analytical process. nSpace2 is an integrating analytic environment. This paper highlights the VAST analytical experience with these tools that contributed to the success of these tools and this team for the third consecutive year.
We briefly describe the tool submitted to the mini-challenge 3 of VAST Challenge 2014. The tool enables users to explore text stream and acquire geographic information in real time without prior knowledge of the data. In addition, we design other tools to assist the author analysis of Twitter. The combination of tools also provides good interaction operation allow users to analyze the Twitter data in real time.
No standards are currently tagged "Visual Analytics"