Visual analytics
View article: NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis
NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis Open
The growing application of gene expression profiling demands powerful yet user-friendly bioinformatics tools to support systems-level data understanding. NetworkAnalyst was first released in 2014 to address the key need for interpreting ge…
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SynergyFinder 2.0: visual analytics of multi-drug combination synergies Open
SynergyFinder (https://synergyfinder.fimm.fi) is a stand-alone web-application for interactive analysis and visualization of drug combination screening data. Since its first release in 2017, SynergyFinder has become a widely used web-tool …
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miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology Open
miRNet is an easy-to-use, web-based platform designed to help elucidate microRNA (miRNA) functions by integrating users' data with existing knowledge via network-based visual analytics. Since its first release in 2016, miRNet has been acce…
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Mastering the Information Age Solving Problems with Visual Analytics Open
Today, in many spheres of human activity, massive amounts of data are collected and stored. As the volumes of data available to lawmakers, civil servants, business people and scientists increase, their effective use becomes more challengin…
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Integrated genome browser: visual analytics platform for genomics Open
Motivation: Genome browsers that support fast navigation through vast datasets and provide interactive visual analytics functions can help scientists achieve deeper insight into biological systems. Toward this end, we developed Integrated …
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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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RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Open
We have recently seen many successful applications of recurrent neural networks (RNNs) on electronic medical records (EMRs), which contain histories of patients' diagnoses, medications, and other various events, in order to predict the cur…
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Improving Present Practices in the Visual Display of Interactions Open
Interaction plots are used frequently in psychology research to make inferences about moderation hypotheses. A common method of analyzing and displaying interactions is to create simple-slopes or marginal-effects plots using standard softw…
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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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explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Open
We propose a framework for interactive and explainable machine learning that enables users to (1) understand machine learning models; (2) diagnose model limitations using different explainable AI methods; as well as (3) refine and optimize…
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Grand Challenges in Immersive Analytics Open
Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and human-computer interaction to support human data analysis with emerging technologies. This research has thrived ov…
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Eviza Open
Natural language interfaces for visualizations have emerged as a promising new way of interacting with data and performing analytics. Many of these systems have fundamental limitations. Most return minimally interactive visualizations in r…
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FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Open
The growing capability and accessibility of machine learning has led to its application to many real-world domains and data about people. Despite the benefits algorithmic systems may bring, models can reflect, inject, or exacerbate implici…
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What you see is what you can change: Human-centered machine learning by interactive visualization Open
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
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Bring It to the Pitch: Combining Video and Movement Data to Enhance Team Sport Analysis Open
Analysts in professional team sport regularly perform analysis to gain strategic and tactical insights into player and team behavior. Goals of team sport analysis regularly include identification of weaknesses of opposing teams, or assessi…
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OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics Open
Researchers are increasingly seeking to interpret molecular data within a multi-omics context to gain a more comprehensive picture of their study system. OmicsNet (www.omicsnet.ca) is a web-based tool developed to allow users to easily bui…
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Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions Open
Many cities and countries are now striving to create intelligent transportation systems that utilize the current abundance of multisource and multiform data related to the functionality and the use of transportation infrastructure to bette…
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Ethical Dimensions of Visualization Research Open
Visualizations have a potentially enormous influence on how data are used to\nmake decisions across all areas of human endeavor. However, it is not clear how\nthis power connects to ethical duties: what obligations do we have when it\ncome…
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A Task-Based Taxonomy of Cognitive Biases for Information Visualization Open
Information visualization designers strive to design data displays that allow for efficient exploration, analysis, and communication of patterns in data, leading to informed decisions. Unfortunately, human judgment and decision making are …
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Towards Natural Language Interfaces for Data Visualization: A Survey Open
Utilizing Visualization-oriented Natural Language Interfaces (V-NLI) as a complementary input modality to direct manipulation for visual analytics can provide an engaging user experience. It enables users to focus on their tasks rather tha…
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Tasks, Techniques, and Tools for Genomic Data Visualization Open
Genomic data visualization is essential for interpretation and hypothesis generation as well as a valuable aid in communicating discoveries. Visual tools bridge the gap between algorithmic approaches and the cognitive skills of investigato…
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Platform Seeing: Image Ensembles and Their Invisualities Open
How can one ‘see’ the operationalization of contemporary visual culture, given the imperceptibility and apparent automation of so many processes and dimensions of visuality? Seeing – as a position from a singular mode of observation – has …
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Criteria for Rigor in Visualization Design Study Open
We develop a new perspective on research conducted through visualization design study that emphasizes design as a method of inquiry and the broad range of knowledge-contributions achieved through it as multiple, subjective, and socially co…
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Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data Open
Big data analytics (BDA) is a systematic approach for analyzing and identifying different patterns, relations, and trends within a large volume of data. In this paper, we apply BDA to criminal data where exploratory data analysis is conduc…
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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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Shared Surfaces and Spaces: Collaborative Data Visualisation in a Co-located Immersive Environment Open
Immersive technologies offer new opportunities to support collaborative visual data analysis by providing each collaborator a personal, high-resolution view of a flexible shared visualisation space through a head mounted display. However, …
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FairSight: Visual Analytics for Fairness in Decision Making Open
Data-driven decision making related to individuals has become increasingly pervasive, but the issue concerning the potential discrimination has been raised by recent studies. In response, researchers have made efforts to propose and implem…
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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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Visualizing Instagram: Tracing Cultural Visual Rhythms Open
Picture-taking has never been easier. We now use our phones to snap photos and instantly share them with friends, family and strangers all around the world. Consequently, we seek ways to visualize, analyze and discover concealed socio-cult…
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Visual Analytics: A Comprehensive Overview Open
With the ever-increasing amount of data, the world has stepped into the era of “Big Data”. Presently, the analysis of massive and complex data and the extraction of relevant information, have been become essential tasks in many fields of s…