22 citations · 42 across the 8 of their papers we have counts for
9 papers
Visualizing Lagrangian Heat Transport Paths and Density Structures in Unsteady Heat Transfer
Besm Osman, Andrei Jalba, Michel Speetjens +1
Convective heat transfer is traditionally visualized from a Eulerian perspective using scalar temperature fields, offering limited insight into the underlying transport mechanisms.…
Class-constrained t-SNE: Combining Data Features and Class Probabilities
Linhao Meng, Stef van den Elzen, Nicola Pezzotti +1
Data features and class probabilities are two main perspectives when, e.g., evaluating model results and identifying problematic items. Class probabilities represent the likelihood…
ManiVault: A Flexible and Extensible Visual Analytics Framework for High-Dimensional Data
Alexander Vieth, Thomas Kroes, Julian Thijssen +7
Exploration and analysis of high-dimensional data are important tasks in many fields that produce large and complex data, like the financial sector, systems biology, or cultural he…
ProtoFold Neighborhood Inspector
Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Anna Vilanova
Post-translational modifications (PTMs) affecting a protein's residues (amino acids) can disturb its function, leading to illness. Whether or not a PTM is pathogenic depends on its…
Incorporating Texture Information into Dimensionality Reduction for High-Dimensional Images
Alexander Vieth, Anna Vilanova, Boudewijn Lelieveldt +2
High-dimensional imaging is becoming increasingly relevant in many fields from astronomy and cultural heritage to systems biology. Visual exploration of such high-dimensional data…
GPGPU Linear Complexity t-SNE Optimization
Nicola Pezzotti, Julian Thijssen, Alexander Mordvintsev +5
The t-distributed Stochastic Neighbor Embedding (tSNE) algorithm has become in recent years one of the most used and insightful techniques for the exploratory data analysis of high…