| Inferring cause and effect in the presence of heteroscedastic noise S Xu, OA Mian, A Marx, J Vreeken International Conference on Machine Learning, 24615-24630, 2022 | 12 | 2022 |
| Causal Inference with Heteroscedastic Noise Models S Xu, A Marx, O Mian, J Vreeken Proceedings of the AAAI Workshop on Information Theoretic Causal Inference …, 2022 | 5 | 2022 |
| Quantum feature embeddings for graph neural networks S Xu, F Wilhelm-Mauch, W Maass Hawaii International Conference on System Sciences, 2023 | 3 | 2023 |
| CD: Combined Distances of Contrast Distributions for Image Quality Analysis S Xu, J Bauer, B Axmann, W Maass International Symposium on Visual Computing, 444-457, 2020 | 3 | 2020 |
| inSIDE fair dialogues: Assessing and maintaining fairness in human-computer-interaction S Janzen, R Bleymehl, A Alam, S Xu, H Stein Gesellschaft für Informatik eV, 2018 | 3 | 2018 |
| Improving Functional Safety of Automotive Video Data Transmission and Processing Systems M Conrad, F Langner, B Axmann, K Blankenbach, J Bauer, M Vogelmann, ... Journal of Automotive Software Engineering 2 (1), 15-26, 2021 | 1 | 2021 |
| CD2: Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing S Xu, J Bauer, B Axmann arXiv preprint arXiv:1911.07995, 2019 | 1 | 2019 |
| TUCANA: A platform for using local processing power of edge devices for building data-driven services M Pyrtek, S Xu, W Maass | 1 | 2019 |
| Learning Exceptional Subgroups by End-to-End Maximizing KL-divergence S Xu, NP Walter, J Kalofolias, J Vreeken arXiv preprint arXiv:2402.12930, 2024 | | 2024 |
| Succint Interaction-Aware Explanations S Xu, J Cüppers, J Vreeken arXiv preprint arXiv:2402.05566, 2024 | | 2024 |
| Characterizing Exceptional Distributions with Neural Rule Extraction S Xu, NP Walter, J Vreeken, J Kalofolias | | 2023 |
| QUASIM: Quantum computing enhanced service ecosystem for simulation in manufacturing A Agrawal, H Stein, S Xu, S Janzen, W Maass | | 2023 |
