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Daniel Keim
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A Comparative Analysis of Industry Human-AI Interaction Guidelines
Breaking the Curse of Visual Analytics: Accommodating Virtual Reality in the Visualization Pipeline
Why Visualize? Untangling a Large Network of Arguments
Framing Visual Musicology through Methodology Transfer
Human Trust Modeling for Bias Mitigation in Artificial Intelligence
lingvis.io - A Linguistic Visual Analytics Framework
Shall we play? – Extending the Visual Analytics Design Space through Gameful Design Concepts
Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution
Analyzing Visual Mappings of Traditional and Alternative Music Notation
Bridging Text Visualization and Mining: A Task-Driven Survey
Going beyond Visualization: Verbalization as Complementary Medium to Explain Machine Learning Models
LTMA: Layered Topic Matching for the Comparative Exploration, Evaluation, and Refinement of Topic Modeling Results
Minions, Sheep, and Fruits: Metaphorical Narratives to Explain Artificial Intelligence and Build Trust
Mixed-Initiative Active Learning for Generating Linguistic Insights in Question Classification
Progressive Learning of Topic Modeling Parameters: A Visual Analytics Framework
Quality Metrics for Information Visualization
Speculative Execution for Guided Visual Analytics
ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics
VisGuides: A Forum for Discussing Visualization Guidelines
Interactive Visual Analysis of Transcribed Multi-Party Discourse
NEREx: Named-Entity Relationship Exploration in Multi-Party Conversations
Visual Analysis of Geolocated Echo Chambers in Social Media
Argumentanalyse in digitalen Textkorpora
ConToVi: Multi-Party Conversation Exploration using Topic-Space Views
Visual Text Analytics in Context of Digital Humanities
Predictive Visual Analytics – Approaches for Movie Ratings and Discussion of Open Research Challenges
Visual Analytics for the Prediction of Movie Rating and Box Office Performance
What's Going On? How Twitter and Online News Can Work in Synergy to Increase Situational Awareness
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