11 citations · 16 across the 5 of their papers we have counts for
5 papers
Conversational AI Threads for Visualizing Multidimensional Datasets
Matt-Heun Hong, Anamaria Crisan
Generative Large Language Models (LLMs) show potential in data analysis, yet their full capabilities remain uncharted. Our work explores the capabilities of LLMs for creating and r…
RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural Networks Recommendations
Camelia D. Brumar, Gabriel Appleby, Jen Rogers +4
Content recommendation tasks increasingly use Graph Neural Networks, but it remains challenging for machine learning experts to assess the quality of their outputs. Visualization s…
Eliciting Model Steering Interactions from Users via Data and Visual Design Probes
Anamaria Crisan, Maddie Shang, Eric Brochu
Domain experts increasingly use automated data science tools to incorporate machine learning (ML) models in their work but struggle to "debug" these models when they are incorrect.…
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers and, Anamaria Crisan
Automated Machine Learning (AutoML) technology can lower barriers in data work yet still requires human intervention to be functional. However, the complex and collaborative proces…
On Regulatory and Organizational Constraints in Visualization Design and Evaluation
Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner
Problem-based visualization research provides explicit guidance toward identifying and designing for the needs of users, but absent is more concrete guidance toward factors externa…