Tooth Alignment Network Based on Landmark Constraints and Hierarchical Graph Structure
Automatic tooth alignment target prediction is vital in shortening the planning time of orthodontic treatments and aligner designs. Generally, the quality of alignment targets greatly depends on the experience and ability of dentists and has enormous ...
Visual Exploration of Machine Learning Model Behavior With Hierarchical Surrogate Rule Sets
One of the potential solutions for model interpretation is to train a surrogate model: a more transparent model that approximates the behavior of the model to be explained. Typically, <italic>classification rules</italic> or <italic>decision trees</italic>...
Temporal Coherence-Based Distributed Ray Tracing of Massive Scenes
Distributed ray tracing algorithms are widely used when rendering massive scenes, where data utilization and load balancing are the keys to improving performance. One essential observation is that rays are temporally coherent, which indicates that ...
The <italic>Transform-and-Perform</italic> Framework: Explainable Deep Learning Beyond Classification
In recent years, visual analytics (VA) has shown promise in alleviating the challenges of interpreting black-box deep learning (DL) models. While the focus of VA for explainable DL has been mainly on classification problems, DL is gaining popularity in ...
Toward Efficient Deep Learning for Graph Drawing (DL4GD)
Due to their great performance in many challenges, Deep Learning (DL) techniques keep gaining popularity in many fields. They have been adapted to process graph data structures to solve various complicated tasks such as graph classification and edge ...
DocFlow: A Visual Analytics System for Question-Based Document Retrieval and Categorization
A systematic review (SR) is essential with up-to-date research evidence to support clinical decisions and practices. However, the growing literature volume makes it challenging for SR reviewers and clinicians to discover useful information efficiently. ...
Multivariate Data Explanation by Jumping Emerging Patterns Visualization
Multivariate or multidimensional visualization plays an essential role in exploratory data analysis by allowing users to derive insights and formulate hypotheses. Despite their popularity, it is usually users’ responsibility to (visually) discover ...
A Scalable Method for Readable Tree Layouts
Large tree structures are ubiquitous and real-world relational datasets often have information associated with nodes (e.g., labels or other attributes) and edges (e.g., weights or distances) that need to be communicated to the viewers. Yet, scalable, easy ...
V4D: Voxel for 4D Novel View Synthesis
Neural radiance fields have made a remarkable breakthrough in the novel view synthesis task at the 3D static scene. However, for the 4D circumstance (e.g., dynamic scene), the performance of the existing method is still limited by the capacity of the ...
GeoLinter: A Linting Framework for Choropleth Maps
Visualization linting is a proven effective tool in assisting users to follow established visualization guidelines. Despite its success, visualization linting for choropleth maps, one of the most popular visualizations on the internet, has yet to be ...
Adaptive Sampling of 3D Spatial Correlations for Focus+Context Visualization
Visualizing spatial correlations in 3D ensembles is challenging due to the vast amounts of information that need to be conveyed. Memory and time constraints make it unfeasible to pre-compute and store the correlations between all pairs of domain points. ...
Eliciting Multimodal and Collaborative Interactions for Data Exploration on Large Vertical Displays
We examined user preferences to combine multiple interaction modalities for collaborative interaction with data shown on large vertical displays. Large vertical displays facilitate visual data exploration and allow the use of diverse interaction ...
Wasserstein Dictionaries of Persistence Diagrams
This article presents a computational framework for the concise encoding of an ensemble of persistence diagrams, in the form of weighted Wasserstein barycenters Turner et al. (2014), Vidal et al. (2020) of a dictionary of <italic>atom diagrams</italic>. ...
