A Review and Characterization of Progressive Visual Analytics [PDF]
Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It brings the user into the loop during otherwise long-running and non-transparent computations by producing intermediate partial results. These partial results can
Angelini, Marco +3 more
core +2 more sources
R
Abstract Motivation: The analysis of expression quantitative trait locus (eQTL) data is a challenging scientific endeavor, involving the processing of very large, heterogeneous and complex data. Typical eQTL analyses involve three types of data: sequence-based data reflecting the genotypic variations, gene expression data and meta-data ...
Battke, Florian +2 more
openaire +3 more sources
Visual analytics of movement: An overview of methods, tools and procedures [PDF]
Analysis of movement is currently a hot research topic in visual analytics. A wide variety of methods and tools for analysis of movement data has been developed in recent years.
Andrienko, G., Andrienko, N.
core +2 more sources
A Survey on Vehicular Traffic Flow Anomaly Detection Using Machine Learning [PDF]
Vehicular traffic flow anomaly detection is crucial for traffic management, public safety, and transportation efficiency. It assists experts in responding promptly to abnormal traffic conditions and making decisions to improve the traffic flow.
Chew Jackel Vui Lung +1 more
doaj +1 more source
Cross-Domain Visual Exploration of Academic Corpora via the Latent Meaning of User-Authored Keywords
Nowadays, scholars dedicate a substantial amount of their work to the querying and browsing of increasingly large collections of research papers on the Internet.
Alejandro Benito-Santos +1 more
doaj +1 more source
A hyper-knowledge graph system for research on AI ethics cases
Current studies on the artificial intelligence (AI) ethics focus either on very broad guidelines or on a very special domain. Therefore, the research outcome can hardly be converted into actionable measures or transferred to other domains.
Chuan Chen +6 more
doaj +1 more source
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers [PDF]
Deep learning has recently seen rapid development and received significant attention due to its state-of-the-art performance on previously-thought hard problems. However, because of the internal complexity and nonlinear structure of deep neural networks,
Fred Hohman +3 more
semanticscholar +1 more source
ADD-up:Visual analytics for augmented deliberative democracy [PDF]
We demonstrate the first prototype of the ADD-up visual analytics system. The Augmented Deliberative Democracy (ADD-up) project aims to enhance public deliberations by providing argument analytics in real time.
Budzynska, Katarzyna +6 more
core +2 more sources
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning [PDF]
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 the models ...
Thilo Spinner +3 more
semanticscholar +1 more source
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection [PDF]
Traffic light detection is crucial for environment perception and decision-making in autonomous driving. State-of-the-art detectors are built upon deep Convolutional Neural Networks (CNNs) and have exhibited promising performance.
Liang Gou +6 more
semanticscholar +1 more source

