Tim Cech

According to our database, Tim Cech authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Evaluating text embeddings for two-dimensional text corpora representations.

Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Tobias Schreck

Inf. Vis., 2026

2025

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations.

Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Michael Behrisch, Tobias Schreck

IEEE Trans. Vis. Comput. Graph., January, 2025

On the relationship of explainable artificial intelligence and essential complexity using metadata, visualization, and transparent models - framework and tools.

Tim Barz-Cech

PhD thesis, 2025

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, Tobias Schreck

Dataset, July, 2024

Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization.

Daniel Atzberger, Tim Cech, Matthias Trapp, Rico Richter, Willy Scheibel, Jürgen Döllner, Tobias Schreck

IEEE Trans. Vis. Comput. Graph., January, 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

Interactive Human-guided Dimensionality Reduction using Landmark Positioning.

Tim Cech, Christian Raue, Frederic Sadrieh, Willy Scheibel, Jürgen Döllner

Proceedings of the 26th Eurographics Conference on Visualization, 2024

A Dashboard for Simplifying Machine Learning Models using Feature Importances and Spurious Correlation Analysis.

Tim Cech, Erik Kohlros, Willy Scheibel, Jürgen Döllner

Proceedings of the 26th Eurographics Conference on Visualization, 2024

Quantifying Topic Model Influence on Text Layouts Based on Dimensionality Reductions.

Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Tobias Schreck

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

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

Dataset, September, 2023

A Dashboard for Interactive Convolutional Neural Network Training And Validation Through Saliency Maps.

Tim Cech, Furkan Simsek, Willy Scheibel, Jürgen Döllner

Proceedings of the 25th Eurographics Conference on Visualization, 2023

Outlier Mining Techniques for Software Defect Prediction.

Tim Cech, Daniel Atzberger, Willy Scheibel, Sanjay Misra, Jürgen Döllner

Proceedings of the Software Quality: Higher Software Quality through Zero Waste Development, 2023

Evaluating Architectures and Hyperparameters of Self-supervised Network Projections.

Tim Cech, Daniel Atzberger, Willy Scheibel, Rico Richter, Jürgen Döllner

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

UNCOVER: Identifying AI Generated News Articles by Linguistic Analysis and Visualization.

Lucas Liebe, Jannis Baum, Tilman Schütze, Tim Cech, Willy Scheibel, Jürgen Döllner

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

Visual Counterfactual Explanations Using Semantic Part Locations.

Florence Böttger, Tim Cech, Willy Scheibel, Jürgen Döllner

Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023

Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation.

Daniel Atzberger, Tim Cech, Willy Scheibel, Rico Richter, Jürgen Döllner

Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

2022

A Benchmark for the Use of Topic Models for Text Visualization Tasks.

Daniel Atzberger, Tim Cech, Willy Scheibel, Daniel Limberger, Matthias Trapp, Jürgen Döllner

Proceedings of the 15th International Symposium on Visual Information Communication and Interaction, 2022

CodeCV: Mining Expertise of GitHub Users from Coding Activities.

Daniel Atzberger, Nico Scordialo, Tim Cech, Willy Scheibel, Matthias Trapp, Jürgen Döllner

Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 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, Jürgen Döllner

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Efficient GitHub Crawling Using the GraphQL API.

Adrian Jobst, Daniel Atzberger, Tim Cech, Willy Scheibel, Matthias Trapp, Jürgen Döllner

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

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

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Visualization of Source Code Similarity Using 2.5D Semantic Software Maps.

Daniel Atzberger, Tim Cech, Willy Scheibel, Daniel Limberger, Jürgen Döllner

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021