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2020 – today
- 2024
[j5]Sergej Geringer
, Florian Geiselhart, Alex Bäuerle, Dominik Dec, Olivia G. Odenthal, Guido Reina, Timo Ropinski, Daniel Weiskopf:
mint: Integrating scientific visualizations into virtual reality. J. Vis. 27(6): 1143-1169 (2024)- [c5]Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker:
Humboldt: Metadata-Driven Extensible Data Discovery. VLDB Workshops 2024 - [i11]Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski:
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics. CoRR abs/2403.11821 (2024) - [i10]Alex Bäuerle, Çagatay Demiralp, Michael Stonebraker:
Humboldt: Metadata-Driven Extensible Data Discovery. CoRR abs/2408.05439 (2024) - 2023
- [b1]Alex Bäuerle:
Visualization-based neural network introspection. University of Ulm, Germany, 2023 - [j4]Alex Bäuerle, Patrick Albus, Raphael Störk, Tina Seufert, Timo Ropinski:
exploRNN: teaching recurrent neural networks through visual exploration. Vis. Comput. 39(9): 4323-4338 (2023) - [c4]Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp:
VegaProf: Profiling Vega Visualizations. UIST 2023: 94:1-94:11 - [c3]Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski:
Semantic Hierarchical Exploration of Large Image Datasets. EuroVis (Short Papers) 2023: 103-107 - [i9]Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig:
An In-depth Look at Gemini's Language Abilities. CoRR abs/2312.11444 (2023) - 2022
- [j3]Alex Bäuerle, Christian van Onzenoodt, Simon der Kinderen, Jimmy Johansson Westberg, Daniel Jönsson, Timo Ropinski:
Where did my Lines go? Visualizing Missing Data in Parallel Coordinates. Comput. Graph. Forum 41(3): 235-246 (2022) - [c2]Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz:
Symphony: Composing Interactive Interfaces for Machine Learning. CHI 2022: 210:1-210:14 - [i8]Alex Bäuerle, Aybuke Gul Turker, Ken Burke, Osman Aka, Timo Ropinski, Christina Greer, Mani Varadarajan:
Visual Identification of Problematic Bias in Large Label Spaces. CoRR abs/2201.06386 (2022) - [i7]Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz:
Symphony: Composing Interactive Interfaces for Machine Learning. CoRR abs/2202.08946 (2022) - [i6]Alex Bäuerle, Daniel Jönsson, Timo Ropinski:
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts. CoRR abs/2206.10611 (2022) - [i5]Junran Yang, Alex Bäuerle, Dominik Moritz, Çagatay Demiralp:
VegaProf: Profiling Vega Visualizations. CoRR abs/2212.13670 (2022) - 2021
- [j2]Alex Bäuerle, Christian van Onzenoodt, Timo Ropinski:
Net2Vis - A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations. IEEE Trans. Vis. Comput. Graph. 27(6): 2980-2991 (2021) - [c1]Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell:
Measuring Model Biases in the Absence of Ground Truth. AIES 2021: 327-335 - [i4]Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell:
Measuring Model Biases in the Absence of Ground Truth. CoRR abs/2103.03417 (2021) - 2020
- [j1]Alex Bäuerle, Heiko Neumann, Timo Ropinski:
Classifier-Guided Visual Correction of Noisy Labels for Image Classification Tasks. Comput. Graph. Forum 39(3): 195-205 (2020) - [i3]Alex Bäuerle, Raphael Störk, Timo Ropinski:
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration. CoRR abs/2012.06326 (2020)
2010 – 2019
- 2019
- [i2]Alex Bäuerle, Timo Ropinski:
Net2Vis: Transforming Deep Convolutional Networks into Publication-Ready Visualizations. CoRR abs/1902.04394 (2019) - 2018
- [i1]Alex Bäuerle, Heiko Neumann, Timo Ropinski:
Training De-Confusion: An Interactive, Network-Supported Visual Analysis System for Resolving Errors in Image Classification Training Data. CoRR abs/1808.03114 (2018)
Coauthor Index
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