Data Visualization
82 papers with code • 0 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Data Visualization
Most implemented papers
jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics
This paper describes jMetalPy, an object-oriented Python-based framework for multi-objective optimization with metaheuristic techniques.
LumiPath -- Towards Real-time Physically-based Rendering on Embedded Devices
With the increasing computational power of today's workstations, real-time physically-based rendering is within reach, rapidly gaining attention across a variety of domains.
DigiVoice: Voice Biomarker Featurization and Analysis Pipeline
Simultaneously, voice has shown potential for analysis in precision medicine as a biomarker for screening illnesses.
Two Decades of Network Science as seen through the co-authorship network of network scientists
Complex networks have attracted a great deal of research interest in the last two decades since Watts & Strogatz, Barab\'asi & Albert and Girvan & Newman published their highly-cited seminal papers on small-world networks, on scale-free networks and on the community structure of complex networks, respectively.
Capacity Preserving Mapping for High-dimensional Data Visualization
We provide a rigorous mathematical treatment to the crowding issue in data visualization when high dimensional data sets are projected down to low dimensions for visualization.
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization
In addition, SONG is capable of handling new data increments, no matter whether they are similar or heterogeneous to the already observed data distribution.
Multi-Modal Neuroimaging Analysis and Visualization Tool (MMVT)
It is an interactive graphical interface that enables users to simultaneously visualize multi-modality functional and statistical data on the cortex and in subcortical surfaces as well as the activity of invasive electrodes.
Twenty Years of Network Science: A Bibliographic and Co-Authorship Network Analysis
Namely, these highly-cited seminal papers were written by Watts&Strogatz, Barab\'asi&Albert, and Girvan&Newman on small-world networks, on scale-free networks and on the community structure of complex networks, respectively.
NCVis: Noise Contrastive Approach for Scalable Visualization
Modern methods for data visualization via dimensionality reduction, such as t-SNE, usually have performance issues that prohibit their application to large amounts of high-dimensional data.
IoT Based Real Time Noise Mapping System for Urban Sound Pollution Study
System architecture is such that multiple node devices will be installed in different locations of the target area.