Visualization of Source Code Similarity Using 2.5D Semantic Software Maps. - Daniel Atzberger; Tim Cech; Willy Scheibel; Daniel Limberger; Jürgen Döllner (VISIGRAPP (Revised Selected Papers), 2021)

Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor. - Daniel Atzberger; Tim Cech; Merlin de La Haye; Maximilian Söchting; Willy Scheibel; Daniel Limberger; Jürgen Döllner (VISIGRAPP (3: IVAPP), 2021)

Efficient GitHub Crawling Using the GraphQL API. - Adrian Jobst; Daniel Atzberger; Tim Cech; Willy Scheibel; Matthias Trapp 001; Jürgen Döllner (ICCSA (Workshops 5), 2022)

Visualization of Knowledge Distribution across Development Teams using 2.5D Semantic Software Maps. - Daniel Atzberger; Tim Cech; Adrian Jobst; Willy Scheibel; Daniel Limberger; Matthias Trapp 001; Jürgen Döllner (VISIGRAPP (3: IVAPP), 2022)

CodeCV: Mining Expertise of GitHub Users from Coding Activities. - Daniel Atzberger; Nico Scordialo; Tim Cech; Willy Scheibel; Matthias Trapp 001; Jürgen Döllner (SCAM, 2022)

A Benchmark for the Use of Topic Models for Text Visualization Tasks. - Daniel Atzberger; Tim Cech; Willy Scheibel; Daniel Limberger; Matthias Trapp 001; Jürgen Döllner (VINCI, 2022)

Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation. - Daniel Atzberger; Tim Cech; Willy Scheibel; Rico Richter; Jürgen Döllner (ENASE, 2023)

Visual Counterfactual Explanations Using Semantic Part Locations. - Florence Böttger; Tim Cech; Willy Scheibel; Jürgen Döllner (KDIR, 2023)

UNCOVER: Identifying AI Generated News Articles by Linguistic Analysis and Visualization. - Lucas Liebe; Jannis Baum; Tilman Schütze; Tim Cech; Willy Scheibel; Jürgen Döllner (KDIR, 2023)

Evaluating Architectures and Hyperparameters of Self-supervised Network Projections. - Tim Cech; Daniel Atzberger; Willy Scheibel; Rico Richter; Jürgen Döllner (VISIGRAPP (3: IVAPP), 2023)

Outlier Mining Techniques for Software Defect Prediction. - Tim Cech; Daniel Atzberger; Willy Scheibel; Sanjay Misra; Jürgen Döllner (SWQD, 2023)

A Dashboard for Interactive Convolutional Neural Network Training And Validation Through Saliency Maps. - Tim Cech; Furkan Simsek; Willy Scheibel; Jürgen Döllner (EuroVis (Posters), 2023)

Coding for 100 files of alt.atheism of the 20 Newsgroups dataset. - Tim Cech; Ole Wegen; Daniel Atzberger; Rico Richter; Willy Scheibel; Jürgen Döllner (Zenodo, 2023)

Quantifying Topic Model Influence on Text Layouts Based on Dimensionality Reductions. - Daniel Atzberger; Tim Cech; Willy Scheibel; Jürgen Döllner; Tobias Schreck (VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 2024)

A Dashboard for Simplifying Machine Learning Models using Feature Importances and Spurious Correlation Analysis. - Tim Cech; Erik Kohlros; Willy Scheibel; Jürgen Döllner (EuroVis (Posters), 2024)

Interactive Human-guided Dimensionality Reduction using Landmark Positioning. - Tim Cech; Christian Raue; Frederic Sadrieh; Willy Scheibel; Jürgen Döllner (EuroVis (Posters), 2024)

Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets. - Tim Cech; Ole Wegen; Daniel Atzberger; Rico Richter; Willy Scheibel; Jürgen Döllner (CoRR, 2024)

Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization. - Daniel Atzberger; Tim Cech; Matthias Trapp 001; Rico Richter; Willy Scheibel; Jürgen Döllner; Tobias Schreck (IEEE Trans. Vis. Comput. Graph., 2024)

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. - Daniel Atzberger; Tim Cech; Willy Scheibel; Jürgen Döllner; Michael Behrisch 001; Tobias Schreck (Zenodo, 2024)

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. - Daniel Atzberger; Tim Cech; Willy Scheibel; Jürgen Döllner; Michael Behrisch 001; Tobias Schreck (IEEE Trans. Vis. Comput. Graph., 2025)