Results 181 to 190 of about 14,217 (252)

Reflections on Traceability for Visualization Research

open access: yesComputer Graphics Forum, EarlyView.
Abstract Decades of advocacy for reproducibility and replication have advanced open, transparent practices in the sciences. However, traditional notions of reproducibility fit poorly with design‐oriented visualization research, where insights emerge through subjective, situated, and iterative work.
J. Rogers   +4 more
wiley   +1 more source

NOTEBOOK

open access: yesAquaculture Research, 1976
openaire   +2 more sources

ReSurfEMG: A Python Package for Comprehensive Analysis of Respiratory Surface EMG. [PDF]

open access: yesSensors (Basel)
Warnaar RSP   +5 more
europepmc   +1 more source

SlideSAVR: Enabling Live Analysis during Data Presentations via Multimodal Sketching and Voice Input

open access: yesComputer Graphics Forum, EarlyView.
Abstract Interpersonal communication in data science can yield sought‐after insights, but presentation environments are often not conducive for live analysis, forcing the process to move offline. Through a formative survey with 16 participants, we identified both technical (e.g., complexity of tools) and psychological (e.g., pressure of programming ...
C. Han   +5 more
wiley   +1 more source

Ten simple rules for making biomedical data resources accessible. [PDF]

open access: yesPLoS Comput Biol
Smits TC, Weru L, Gehlenborg N, L'Yi S.
europepmc   +1 more source

BloomTree: Dynamic Coloring Techniques for Exploring Deep and Wide Tree Structures

open access: yesComputer Graphics Forum, EarlyView.
Abstract This study introduces BloomTree, an interactive Sunburst system for visualizing massive hierarchical datasets, such as the Tree of Life. Traditional static color schemes fail to maintain perceptual distinguishability when applied to millions of nodes, and managing the full tree in memory is computationally costly.
A. Tanaka, K. Wakita
wiley   +1 more source

Visualizing Image Segmentation Network Behavior Through the Lens of Scale Space Analysis

open access: yesComputer Graphics Forum, EarlyView.
Abstract Deep neural networks are widely used for image segmentation, also in sensitive applications such as medical imaging or autonomous driving. However, few explainable AI methods are available that help developers understand such networks beyond classification.
A. C. Mikliss, T. Schultz
wiley   +1 more source

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