[PDF][PDF] Designing computational evaluations for graph layout algorithms: the state of the art

S Di Bartolomeo, T Crnovrsanin, D Saffo, C Dunne - Companion, 2023 - files.osf.io
Computational evaluations and benchmarks are widely used for validating graph and
network layout algorithms (aka graph drawing). These evaluations can provide the reader …

Not As Easy As You Think--Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology

J Chen, P Isenberg, RS Laramee, T Isenberg… - arXiv preprint arXiv …, 2022 - arxiv.org
We present and discuss the results of a two-year qualitative analysis of images published in
IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization image …

Simultaneous matrix orderings for graph collections

N van Beusekom, W Meulemans… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Undirected graphs are frequently used to model phenomena that deal with interacting
objects, such as social networks, brain activity and communication networks. The topology of …

DocFlow: A Visual Analytics System for Question-based Document Retrieval and Categorization

R Qiu, Y Tu, YS Wang, PY Yen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A systematic review (SR) is essential with up-to-date research evidence to support clinical
decisions and practices. However, the growing literature volume makes it challenging for SR …

Deep Pre-Training Transformers for Scientific Paper Representation

J Wang, Z Yang, Z Cheng - Electronics, 2024 - mdpi.com
In the age of scholarly big data, efficiently navigating and analyzing the vast corpus of
scientific literature is a significant challenge. This paper introduces a specialized pre-trained …

NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning

Y Bian, R Faust, C North - arXiv preprint arXiv:2402.17178, 2024 - arxiv.org
An increasing number of studies have utilized interactive deep learning as the analytic
model of visual analytics systems for complex sensemaking tasks. In these systems …

Metaphorical Visualization: Mapping data to familiar concepts

G Tkachev, R Cutura, M Sedlmair, S Frey… - CHI Conference on …, 2022 - dl.acm.org
We present a new approach to visualizing data that is well-suited for personal and casual
applications. The idea is to map the data to another dataset that is already familiar to the …

A Survey on Visualization Approaches in Political Science for Social and Political Factors: Progress to Date and Future Opportunities

D Han, AAR Nayeem, J Windett, Y Dai… - arXiv preprint arXiv …, 2024 - arxiv.org
Politics is the set of activities related to strategic decision-making in groups. Political
scientists study the strategic interactions between states, institutions, politicians, and …

Lost in Visualization: Investigating the Knowledge Gap between Visualization Research and Practice

NW Kim, G Myers, J Choi, Y Cho, C Oh… - arXiv preprint arXiv …, 2023 - arxiv.org
Empirical research on perception and cognition has laid the foundation for visualization
design, often yielding useful design guidelines for practitioners. However, it remains …

Uncovering data landscapes through data reconnaissance and task wrangling

A Crisan, T Munzner - 2019 IEEE Visualization Conference (VIS …, 2019 - ieeexplore.ieee.org
Domain experts are inundated with new and heterogeneous types of data and require better
and more specific types of data visualization systems to help them. In this paper, we …