Visualizing Global Trends: Exploring Terrorism, Air Quality, and Population Dynamics
This project utilizes advanced visualization tools like Plotly, Plotly.js, and D3.js to analyze global trends in terrorism, air quality, and population dynamics, providing interactive maps, timelines, and charts to gain insights into complex research topics.
Effective Visualization of Data with Large Value Ranges: Exploring the Design Space
Effective static visualization of data with large value ranges (orders of magnitude) can be achieved by separating the values into mantissa and exponent, and using appropriate visual encodings for each.
Leveraging Data Visualization for Insights and Decision-Making in the Era of Big Data
Data visualization is a crucial tool for comprehending and extracting insights from the vast and complex datasets of the big data era. It enables organizations to make informed decisions, communicate findings effectively, and drive innovation.
Enabling Natural Language-Driven Manipulation of Existing Visualizations
A deep learning-based framework that enables users to manipulate existing visualizations by expressing their tasks in natural language, without requiring knowledge of specific visualization commands.
Optimizing Symbol Visibility in Categorical Data Visualizations through Limited Displacement
Optimizing the visibility of symbols in categorical data visualizations by strategically adjusting their x-coordinates within a fixed y-coordinate layout.
From Delays to Densities: Exploring the Impact of Speech, Text, and Visualization on Communicating Data Uncertainty
Effectively communicating data uncertainty is crucial for informed decision-making, but different modes of communication (speech, text, visualization) have unique affordances and limitations. This research systematically explores how variations within each mode contribute to communicating uncertainty and impact decision-making.
Chart4Blind: An Intelligent Interface for Chart Accessibility Conversion
Chart4Blind is an intelligent interface that simplifies the conversion of line charts into universally accessible formats, enhancing chart accessibility for blind and visually impaired individuals.
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization
다양한 데이터 탐색 요구를 충족시키기 위한 사용자 주도적인 중요 시간 단계 선택 방법 소개
MAIDR: Making Statistical Visualizations Accessible with Multimodal Data Representation
Blind users can interact with statistical data visualizations effectively through multimodal representations, enhancing autonomy and understanding.
ChartReformer: Natural Language-Driven Chart Image Editing Solution
자연어 기반 차트 이미지 편집 솔루션인 ChartReformer의 소개와 성과
- x-canids-intrusion-detection-system-for-can-based-ivns
- label-dependencies-aware-set-prediction-networks-for-multi-label-text-classification
- multi-robot-motion-planning-with-nets-within-nets-modeling-and-simulation
- model-free-reinforcement-learning-of-semantic-communication-by-stochastic-policy-gradient
- enhancing-retrieval-augmented-models-against-counterfactual-noise
- hardware-honeypot-preventing-reverse-engineering-with-fsm-obfuscation
- adaptiveclick-click-aware-transformer-for-interactive-image-segmentation
- outcome-separation-logic-local-reasoning-for-correctness-and-incorrectness-with-computational-effects
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