The state of the art in visualizing multivariate networks
Multivariate networks are made up of nodes and their relationships (links), but also data
about those nodes and links as attributes. Most real‐world networks are associated with …
about those nodes and links as attributes. Most real‐world networks are associated with …
Hierarchical aggregation for information visualization: Overview, techniques, and design guidelines
N Elmqvist, JD Fekete - IEEE transactions on visualization and …, 2009 - ieeexplore.ieee.org
We present a model for building, visualizing, and interacting with multiscale representations
of information visualization techniques using hierarchical aggregation. The motivation for …
of information visualization techniques using hierarchical aggregation. The motivation for …
Do convolutional neural networks learn class hierarchy?
Convolutional Neural Networks (CNNs) currently achieve state-of-the-art accuracy in image
classification. With a growing number of classes, the accuracy usually drops as the …
classification. With a growing number of classes, the accuracy usually drops as the …
Deepeyes: Progressive visual analytics for designing deep neural networks
Deep neural networks are now rivaling human accuracy in several pattern recognition
problems. Compared to traditional classifiers, where features are handcrafted, neural …
problems. Compared to traditional classifiers, where features are handcrafted, neural …
Visual analysis of large graphs: state‐of‐the‐art and future research challenges
T Von Landesberger, A Kuijper… - Computer graphics …, 2011 - Wiley Online Library
The analysis of large graphs plays a prominent role in various fields of research and is
relevant in many important application areas. Effective visual analysis of graphs requires …
relevant in many important application areas. Effective visual analysis of graphs requires …
Matrix reordering methods for table and network visualization
This survey provides a description of algorithms to reorder visual matrices of tabular data
and adjacency matrix of Networks. The goal of this survey is to provide a comprehensive list …
and adjacency matrix of Networks. The goal of this survey is to provide a comprehensive list …
Evaluating the efficiency of physical visualizations
Data sculptures are an increasingly popular form of physical visualization whose purposes
are essentially artistic, communicative or educational. But can physical visualizations help …
are essentially artistic, communicative or educational. But can physical visualizations help …
Exploring the design space of composite visualization
W Javed, N Elmqvist - 2012 ieee pacific visualization …, 2012 - ieeexplore.ieee.org
We propose the notion of composite visualization views (CVVs) as a theoretical model that
unifies the existing coordinated multiple views (CMV) paradigm with other strategies for …
unifies the existing coordinated multiple views (CMV) paradigm with other strategies for …
Weighted graph comparison techniques for brain connectivity analysis
The analysis of brain connectivity is a vast field in neuroscience with a frequent use of visual
representations and an increasing need for visual analysis tools. Based on an in-depth …
representations and an increasing need for visual analysis tools. Based on an in-depth …