David Borland

Latest

• An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference
• Using Counterfactuals to Improve Causal Inferences from Visualizations
• Countering Simpson’s Paradox with Counterfactuals
• Digestable: Condensed Views of Tabular Data
• Improving Visualization Interpretation Using Counterfactuals
• Enabling Longitudinal Exploratory Analysis of Clinical COVID Data
• Selection-Bias-Corrected Visualization via Dynamic Reweighting
• Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses
• Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data
• Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation
• Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data
• Evaluating Visual Analytics for Health Informatics Applications: A Systematic Review from the AMIA VIS Working Group Task Force on Evaluation
• Visualization Model Validation via Inline Replication
• Visual Cohort Queries for High-Dimensional Data: A Design Study
• Contextual Visualization: Making the Unseen Visible to Combat Bias During Visual Analysis
• Dual View: Multivariate Visualization Using Linked Layouts of Objects and Dimensions
• Increasing Understanding of Survey Re-Weighting with Visualization
• Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization
• Evaluating Visual Analytics for Health Informatics Applications: A Progress Report from the AMIA VIS Working Group Task Force on Evaluation
• Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization