10 citations · 14 across the 5 of their papers we have counts for
6 papers
A Spectral Decomposition Framework for Multiscale Nonlinear Dimensionality Reduction
Zeyang Huang, Angelos Chatzimparmpas, Thomas Höllt +1
Dimensionality reduction (DR) involves two longstanding trade-offs. First, preserving local neighborhoods can come at the cost of global structure. Neighbor embedding methods such…
AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI
Katja Bühler, Thomas Höllt, Thomas Schulz +1
AI is the workhorse of modern data analytics and omnipresent across many sectors. Large Language Models and multi-modal foundation models are today capable of generating code, char…
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…
InCorr: Interactive Data-Driven Correlation Panels for Digital Outcrop Analysis
Thomas Ortner, Andreas Walch, Rebecca Nowak +3
Geological analysis of 3D Digital Outcrop Models (DOMs) for reconstruction of ancient habitable environments is a key aspect of the upcoming ESA ExoMars 2022 Rosalind Franklin Rove…
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…
Approximated and User Steerable tSNE for Progressive Visual Analytics
Nicola Pezzotti, Boudewijn P. F. Lelieveldt, Laurens van der Maaten +3
Progressive Visual Analytics aims at improving the interactivity in existing analytics techniques by means of visualization as well as interaction with intermediate results. One ke…