| Central moment discrepancy (CMD) for domain-invariant representation learning W Zellinger, T Grubinger, E Lughofer, T Natschläger, S Saminger-Platz International Conference on Learning Representations (ICLR), 2017 | 718 | 2017 |
| Wild patterns reloaded: A survey of machine learning security against training data poisoning AE Cinà, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ... ACM Computing Surveys, 2023 | 121 | 2023 |
| Robust unsupervised domain adaptation for neural networks via moment alignment W Zellinger, BA Moser, T Grubinger, E Lughofer, T Natschläger, ... Information Sciences 483, 174-191, 2019 | 102 | 2019 |
| Domain-invariant partial least squares regression R Nikzad-Langerodi, W Zellinger, E Lughofer, S Saminger-Platz Analytical chemistry, 6693-6701, 2018 | 96 | 2018 |
| Domain adaptation for regression under Beer–Lambert’s law R Nikzad-Langerodi, W Zellinger, S Saminger-Platz, BA Moser Knowledge-Based Systems, 106447, 2020 | 69 | 2020 |
| AI system engineering—key challenges and lessons learned L Fischer, L Ehrlinger, V Geist, R Ramler, F Sobiezky, W Zellinger, ... Machine Learning and Knowledge Extraction 3 (1), 56-83, 2020 | 63 | 2020 |
| Mixture density generative adversarial networks H Eghbal-zadeh, W Zellinger, G Widmer IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5820-5829, 2019 | 49 | 2019 |
| Multi-source transfer learning of time series in cyclical manufacturing W Zellinger, T Grubinger, M Zwick, E Lughofer, H Schöner, T Natschläger, ... Journal of Intelligent Manufacturing 31, 777-787, 2020 | 32 | 2020 |
| Beyond federated learning: On confidentiality-critical machine learning applications in industry W Zellinger, V Wieser, M Kumar, D Brunner, N Shepeleva, R Gálvez, ... Procedia Computer Science 180, 734-743, 2021 | 27 | 2021 |
| On a regularization of unsupervised domain adaptation in RKHS ER Gizewski, L Mayer, BA Moser, DH Nguyen, S Pereverzyev Jr, ... Applied and Computational Harmonic Analysis 57, 201-227, 2022 | 19 | 2022 |
| Addressing parameter choice issues in unsupervised domain adaptation by aggregation MC Dinu, M Holzleitner, M Beck, HD Nguyen, A Huber, H Eghbal-zadeh, ... International Conference on Learning Representations (ICLR), notable-top-5%, 2023 | 16 | 2023 |
| On generalization in moment-based domain adaptation W Zellinger, BA Moser, S Saminger-Platz Annals of Mathematics and Artificial Intelligence 89, 333-369, 2021 | 15* | 2021 |
| The balancing principle for parameter choice in distance-regularized domain adaptation W Zellinger, N Shepeleva, MC Dinu, H Eghbal-zadeh, H Nguyen, ... Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 14 | 2021 |
| On data augmentation and adversarial risk: An empirical analysis H Eghbal-zadeh, K Koutini, P Primus, V Haunschmid, M Lewandowski, ... ICLR Workshop Towards Trustworthy Machine Learning, 2020 | 10 | 2020 |
| Linear optimization approach for depth range adaption of stereoscopic videos W Zellinger, BA Moser, A Chouikhi, F Seitner, M Nezveda, M Gelautz Stereoscopic Displays and Applications (SD&A) 28, 1-6, 2016 | 10 | 2016 |
| SymbolicAI: A framework for logic-based approaches combining generative models and solvers MC Dinu, C Leoveanu-Condrei, M Holzleitner, W Zellinger, S Hochreiter Conference on Lifelong Learning Agents (CoLLAs), 2024 | 9 | 2024 |
| Few-shot learning by dimensionality reduction in gradient space M Gauch, M Beck, T Adler, D Kotsur, S Fiel, H Eghbal-zadeh, ... Conference on Lifelong Learning Agents (CoLLAs), 2022 | 9 | 2022 |
| On the optimization of material usage in power transformer manufacturing G Chasparis, W Zellinger, V Haunschmid, M Riedenbauer, R Stumptner 2016 IEEE 8th International Conference on Intelligent Systems (IS), 680-685, 2016 | 5 | 2016 |
| On the truncated Hausdorff moment problem under Sobolev regularity conditions W Zellinger, BA Moser Applied Mathematics and Computation 400, 126057, 2021 | 4 | 2021 |
| Improving visual discomfort prediction for stereoscopic images via disparity-based contrast W Zellinger, B Moser Journal of Imaging Science and Technology 28, 1-8, 2016 | 4 | 2016 |
Bernhard A. MoserSCCH and Institute of Signal Processing, JKU, AustriaVerified email at scch.at
