Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. - Alex Bäuerle; Heiko Neumann; Timo Ropinski (CoRR, 2018)

Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations. - Alex Bäuerle; Timo Ropinski (CoRR, 2019)

Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. - Alex Bäuerle; Heiko Neumann; Timo Ropinski (Comput. Graph. Forum, 2020)

exploRNN: Understanding Recurrent Neural Networks through Visual Exploration. - Alex Bäuerle; Raphael Störk; Timo Ropinski (CoRR, 2020)

Measuring Model Biases in the Absence of Ground Truth. - Osman Aka; Ken Burke; Alex Bäuerle; Christina Greer; Margaret Mitchell (AIES, 2021)

Net2Vis - A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations. - Alex Bäuerle; Christian van Onzenoodt; Timo Ropinski (IEEE Trans. Vis. Comput. Graph., 2021)

Symphony: Composing Interactive Interfaces for Machine Learning. - Alex Bäuerle; Ángel Alexander Cabrera; Fred Hohman; Megan Maher; David Koski; Xavier Suau; Titus Barik; Dominik Moritz (CHI, 2022)

Where did my Lines go? Visualizing Missing Data in Parallel Coordinates. - Alex Bäuerle; Christian van Onzenoodt; Simon der Kinderen; Jimmy Johansson Westberg; Daniel Jönsson; Timo Ropinski (Comput. Graph. Forum, 2022)

Visual Identification of Problematic Bias in Large Label Spaces. - Alex Bäuerle; Aybuke Gul Turker; Ken Burke; Osman Aka; Timo Ropinski; Christina Greer; Mani Varadarajan (CoRR, 2022)

Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts. - Alex Bäuerle; Daniel Jönsson; Timo Ropinski (CoRR, 2022)

VegaProf: Profiling Vega Visualizations. - Junran Yang; Alex Bäuerle; Dominik Moritz; Çagatay Demiralp (UIST, 2023)

Semantic Hierarchical Exploration of Large Image Datasets. - Alex Bäuerle; Christian van Onzenoodt; Daniel Jönsson; Timo Ropinski (EuroVis (Short Papers), 2023)

An In-depth Look at Gemini's Language Abilities. - Syeda Nahida Akter; Zichun Yu; Aashiq Muhamed; Tianyue Ou; Alex Bäuerle; Ángel Alexander Cabrera; Krish Dholakia; Chenyan Xiong; Graham Neubig (CoRR, 2023)

Visualization-based neural network introspection. - Alex Bäuerle (2023)

exploRNN: teaching recurrent neural networks through visual exploration. - Alex Bäuerle; Patrick Albus; Raphael Störk; Tina Seufert; Timo Ropinski (Vis. Comput., 2023)

Humboldt: Metadata-Driven Extensible Data Discovery. - Alex Bäuerle; Çagatay Demiralp; Michael Stonebraker (VLDB Workshops, 2024)

Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics. - Sebastian Hartwig; Dominik Engel; Leon Sick; Hannah Kniesel; Tristan Payer; Poonam Poonam; Michael Glöckler; Alex Bäuerle; Timo Ropinski (CoRR, 2024)

mint: Integrating scientific visualizations into virtual reality. - Sergej Geringer; Florian Geiselhart; Alex Bäuerle; Dominik Dec; Olivia G. Odenthal; Guido Reina; Timo Ropinski; Daniel Weiskopf (J. Vis., 2024)

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images. - Daniel Wolf; Heiko Hillenhagen; Billurvan Taskin; Alex Bäuerle; Meinrad Beer; Michael Götz; Timo Ropinski (CoRR, 2025)