explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning T Spinner, U Schlegel, H Schäfer, M El-Assady IEEE transactions on visualization and computer graphics 26 (1), 1064-1074, 2019 | 331 | 2019 |
Towards XAI: structuring the processes of explanations M El-Assady, W Jentner, R Kehlbeck, U Schlegel, R Sevastjanova, ... Proceedings of the ACM Workshop on Human-Centered Machine Learning, Glasgow …, 2019 | 46 | 2019 |
Towards an interpretable latent space: an intuitive comparison of autoencoders with variational autoencoders T Spinner, J Körner, J Görtler, O Deussen | 41 | 2018 |
Uncertainty-aware principal component analysis J Görtler, T Spinner, D Streeb, D Weiskopf, O Deussen IEEE Transactions on Visualization and Computer Graphics 26 (1), 822-831, 2019 | 37 | 2019 |
Semantic color mapping: A pipeline for assigning meaningful colors to text M El-Assady, R Kehlbeck, Y Metz, U Schlegel, R Sevastjanova, F Sperrle, ... 2022 IEEE 4th Workshop on Visualization Guidelines in Research, Design, and …, 2022 | 9 | 2022 |
Demystifying the Embedding Space of Language Models R Kehlbeck, R Sevastjanova, T Spinner, T Stähle, M El-Assady | 7 | 2021 |
-generAItor: Tree-in-the-loop Text Generation for Language Model Explainability and Adaptation T Spinner, R Kehlbeck, R Sevastjanova, T Stähle, DA Keim, O Deussen, ... ACM Transactions on Interactive Intelligent Systems 14 (2), 1-32, 2024 | 5 | 2024 |
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges T Spinner, R Kehlbeck, R Sevastjanova, T Stähle, DA Keim, O Deussen, ... arXiv preprint arXiv:2310.11252, 2023 | 4 | 2023 |
Visualisierung der covid-19-inzidenzen und behandlungskapazitäten mit coronavis W Jentner, F Sperrle, D Seebacher, M Kraus, R Sevastjanova, MT Fischer, ... Resilienz und Pandemie: Handlungsempfehlungen anhand von Erfahrungen mit …, 2022 | 3 | 2022 |
iNNspector: Visual, interactive deep model debugging T Spinner, D Fürst, M El-Assady arXiv preprint arXiv:2407.17998, 2024 | 2 | 2024 |
Resilienz und Pandemie: Handlungsempfehlungen anhand von Erfahrungen mit COVID-19 T Lukas, D Vogt, B Tackenberg, L Tutt, J Zisgen, N Bernstein, Y Schulte, ... Kohlhammer Verlag, 2022 | 1 | 2022 |
Speculative Execution of Similarity Queries: Real-Time Parameter Optimization through Visual Exploration T Spinner, U Schlegel, M Schall, F Sperrle, R Sevastjanova, B Gobbo, ... | 1 | 2021 |
NEAT-Novel Emergency Analysis Tool W Jentner, J Buchmüller, F Sperrle, R Sevastjanova, T Spinner, ... 2019 IEEE Conference on Visual Analytics Science and Technology (VAST), 104-105, 2019 | 1 | 2019 |
Visual, Interactive Deep Model Debugging: Supporting AI Development and Explainability T Spinner | | 2024 |
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Supplementary Material T Spinner, U Schlegel, H Schäfer, M El-Assady | | |