| 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 | 483 | 2017 |
| 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 | 64 | 2019 |
| Domain-Invariant Partial Least Squares Regression R Nikzad-Langerodi, W Zellinger, E Lughofer, S Saminger-Platz Analytical chemistry, 6693-6701, 2018 | 64 | 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 | 43 | 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 | 33 | 2019 |
| 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 | 26 | 2020 |
| 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 | 23 | 2020 |
| 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, ... arXiv preprint arXiv:2205.01992, 2022 | 13 | 2022 |
| 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 | 13 | 2021 |
| On generalization in moment-based domain adaptation W Zellinger, BA Moser, S Saminger-Platz Annals of Mathematics and Artificial Intelligence 89, 333-369, 2021 | 13* | 2021 |
| 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 XXVII 2016 (5), 1-6, 2016 | 10 | 2016 |
| 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 | 7 | 2020 |
| 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 | 6 | 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 |
| Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast. W Zellinger, B Moser Image Quality and System Performance VIII, 1-8, 2016 | 4 | 2016 |
| On the truncated Hausdorff moment problem under Sobolev regularity conditions W Zellinger, BA Moser Applied Mathematics and Computation 400, 126057, 2021 | 3 | 2021 |
| ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy N Shepeleva, W Zellinger, M Lewandowski, B Moser ICLR Workshop on Neural Architecture Search, 2020 | 3 | 2020 |
| Moment-Based Domain Adaptation: Learning Bounds and Algorithms W Zellinger Doctoral Thesis (Johannes Kepler University Linz), 2020 | 3 | 2020 |
| 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 | 2 | 2021 |
| Moment distances for comparing high-entropy distributions with application in domain adaptation W Zellinger, H Eghbal-zadeh, BA Moser, M Zwick, E Lughofer, ... 23rd International Conference on Computational Statistics, 37, 2018 | 2 | 2018 |
Bernhard A. MoserSCCHVerified email at scch.at
