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2020 – today
- 2024
[j1]Daniel Atzberger
, Tim Cech, Matthias Trapp, Rico Richter, Willy Scheibel, Jürgen Döllner, Tobias Schreck:
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization. IEEE Trans. Vis. Comput. Graph. 30(1): 902-912 (2024)- [c13]Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Tobias Schreck:
Quantifying Topic Model Influence on Text Layouts Based on Dimensionality Reductions. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP 2024: 593-602 - [i3]Tim Cech, Ole Wegen, Daniel Atzberger, Rico Richter, Willy Scheibel, Jürgen Döllner:
Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets. CoRR abs/2406.13552 (2024) - [i2]Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Michael Behrisch, Tobias Schreck:
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations. CoRR abs/2407.17876 (2024) - 2023
- [c12]Daniel Atzberger, Tim Cech, Willy Scheibel, Rico Richter, Jürgen Döllner:
Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation. ENASE 2023: 461-468 - [c11]Lucas Liebe, Jannis Baum, Tilman Schütze, Tim Cech, Willy Scheibel, Jürgen Döllner:
UNCOVER: Identifying AI Generated News Articles by Linguistic Analysis and Visualization. KDIR 2023: 39-50 - [c10]Florence Böttger, Tim Cech, Willy Scheibel, Jürgen Döllner:
Visual Counterfactual Explanations Using Semantic Part Locations. KDIR 2023: 63-74 - [c9]Tim Cech, Daniel Atzberger, Willy Scheibel, Rico Richter, Jürgen Döllner:
Evaluating Architectures and Hyperparameters of Self-supervised Network Projections. VISIGRAPP (3: IVAPP) 2023: 187-194 - [c8]Tim Cech, Daniel Atzberger, Willy Scheibel, Sanjay Misra, Jürgen Döllner:
Outlier Mining Techniques for Software Defect Prediction. SWQD 2023: 41-60 - [c7]Tim Cech, Furkan Simsek, Willy Scheibel, Jürgen Döllner:
A Dashboard for Interactive Convolutional Neural Network Training And Validation Through Saliency Maps. EuroVis (Posters) 2023: 5-7 - [i1]Daniel Atzberger, Tim Cech, Willy Scheibel, Matthias Trapp, Rico Richter, Jürgen Döllner, Tobias Schreck:
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization. CoRR abs/2307.11770 (2023) - 2022
- [c6]Adrian Jobst, Daniel Atzberger, Tim Cech, Willy Scheibel, Matthias Trapp, Jürgen Döllner:
Efficient GitHub Crawling Using the GraphQL API. ICCSA (Workshops 5) 2022: 662-677 - [c5]Daniel Atzberger, Tim Cech, Adrian Jobst, Willy Scheibel, Daniel Limberger, Matthias Trapp, Jürgen Döllner:
Visualization of Knowledge Distribution across Development Teams using 2.5D Semantic Software Maps. VISIGRAPP (3: IVAPP) 2022: 210-217 - [c4]Daniel Atzberger, Nico Scordialo, Tim Cech, Willy Scheibel, Matthias Trapp, Jürgen Döllner:
CodeCV: Mining Expertise of GitHub Users from Coding Activities. SCAM 2022: 143-147 - [c3]Daniel Atzberger, Tim Cech, Willy Scheibel, Daniel Limberger, Matthias Trapp, Jürgen Döllner:
A Benchmark for the Use of Topic Models for Text Visualization Tasks. VINCI 2022: 17:1-17:4 - 2021
- [c2]Daniel Atzberger, Tim Cech, Willy Scheibel, Daniel Limberger, Jürgen Döllner:
Visualization of Source Code Similarity Using 2.5D Semantic Software Maps. VISIGRAPP (Revised Selected Papers) 2021: 162-182 - [c1]Daniel Atzberger, Tim Cech, Merlin de La Haye, Maximilian Söchting, Willy Scheibel, Daniel Limberger, Jürgen Döllner:
Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor. VISIGRAPP (3: IVAPP) 2021: 112-122
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