| Adaptive aggregation-based domain decomposition multigrid for the lattice Wilson--Dirac operator A Frommer, K Kahl, S Krieg, B Leder, M Rottmann SIAM journal on scientific computing 36 (4), A1581-A1608, 2014 | 96 | 2014 |
| Adaptive aggregation-based domain decomposition multigrid for twisted mass fermions C Alexandrou, S Bacchio, J Finkenrath, A Frommer, K Kahl, M Rottmann Physical Review D 94 (11), 114509, 2016 | 36 | 2016 |
| Multigrid preconditioning for the overlap operator in lattice QCD J Brannick, A Frommer, K Kahl, B Leder, M Rottmann, A Strebel Numerische Mathematik 132 (3), 463-490, 2016 | 26 | 2016 |
| Application of decision rules for handling class imbalance in semantic segmentation R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk arXiv preprint arXiv:1901.08394, 2019 | 16* | 2019 |
| Classification uncertainty of deep neural networks based on gradient information P Oberdiek, M Rottmann, H Gottschalk IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 113-125, 2018 | 16 | 2018 |
| Adaptive algebraic multigrid on SIMD architectures S Heybrock, M Rottmann, P Georg, T Wettig arXiv preprint arXiv:1512.04506, 2015 | 16 | 2015 |
| Prediction error meta classification in semantic segmentation: Detection via aggregated dispersion measures of softmax probabilities M Rottmann, P Colling, TP Hack, R Chan, F Hüger, P Schlicht, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020 | 13 | 2020 |
| Uncertainty measures and prediction quality rating for the semantic segmentation of nested multi resolution street scene images M Rottmann, M Schubert Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
| An adaptive aggregation based domain decomposition multilevel method for the lattice Wilson Dirac operator: multilevel results A Frommer, K Kahl, S Krieg, B Leder, M Rottmann arXiv preprint arXiv:1307.6101, 2013 | 10 | 2013 |
| Time-dynamic estimates of the reliability of deep semantic segmentation networks K Maag, M Rottmann, H Gottschalk arXiv preprint arXiv:1911.05075, 2019 | 8 | 2019 |
| Deep bayesian active semi-supervised learning M Rottmann, K Kahl, H Gottschalk arXiv preprint arXiv:1803.01216, 2018 | 8* | 2018 |
| Aggregation-based Multilevel Methods for Lattice QCD M Rottmann, A Frommer, K Kahl, S Krieg, B Leder XXIX International Symposium on Lattice Field Theory 139, 046, 2012 | 8* | 2012 |
| Adaptive domain decomposition multigrid for lattice QCD M Rottmann Universität Wuppertal, Fakultät für Mathematik und Naturwissenschaften …, 2018 | 6 | 2018 |
| The ethical dilemma when (not) setting up cost-based decision rules in semantic segmentation R Chan, M Rottmann, R Dardashti, F Huger, P Schlicht, H Gottschalk Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 5 | 2019 |
| Least angle regression coarsening in bootstrap algebraic multigrid K Kahl, M Rottmann SIAM Journal on Scientific Computing 40 (6), A3928-A3954, 2018 | 4 | 2018 |
| DDalphaAMG for twisted mass fermions S Bacchio, C Alexandrou, J Finkenrath, A Frommer, K Kahl, M Rottmann arXiv preprint arXiv:1611.01034, 2016 | 4 | 2016 |
| Controlled False Negative Reduction of Minority Classes in Semantic Segmentation R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 2* | 2020 |
| YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors K Kowol, M Rottmann, S Bracke, H Gottschalk arXiv preprint arXiv:2010.03320, 2020 | | 2020 |
| MetaBox+: A new Region Based Active Learning Method for Semantic Segmentation using Priority Maps P Colling, L Roese-Koerner, H Gottschalk, M Rottmann arXiv preprint arXiv:2010.01884, 2020 | | 2020 |
| MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection M Schubert, K Kahl, M Rottmann arXiv preprint arXiv:2010.01695, 2020 | | 2020 |
Karsten KahlBergische Universität WuppertalBestätigte E-Mail-Adresse bei math.uni-wuppertal.de
