| A regional air quality forecasting system over Europe: the MACC-II daily ensemble production V Marécal, VH Peuch, C Andersson, S Andersson, J Arteta, M Beekmann, ... Geoscientific Model Development 8 (9), 2777-2813, 2015 | 197 | 2015 |
| A regional air quality forecasting system over Europe: the MACC-II daily ensemble production, Geosci. Model Dev., 8, 2777–2813 V Marécal, VH Peuch, C Andersson, S Andersson, J Arteta, M Beekmann, ... | 74 | 2015 |
| A regional air quality forecasting system over Europe: the MACC-II daily ensemble production, Geosci. Model Dev., 8, 2777–2813, doi: 10.5194 V Marécal, VH Peuch, C Andersson, S Andersson, J Arteta, M Beekmann, ... gmd-8-2777-2015, 2015 | 70 | 2015 |
| Evaluation of receptor and chemical transport models for PM10 source apportionment CA Belis, D Pernigotti, G Pirovano, O Favez, JL Jaffrezo, J Kuenen, ... Atmospheric environment: X 5, 100053, 2020 | 64 | 2020 |
| Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook M Sofiev, O Ritenberga, R Albertini, J Arteta, J Belmonte, CG Bernstein, ... Atmospheric chemistry and physics 17 (20), 12341-12360, 2017 | 33 | 2017 |
| A maximum likelihood estimator for choosing the regularization parameters in global optical flow methods K Krajsek, R Mester 2006 International Conference on Image Processing, 1081-1084, 2006 | 33 | 2006 |
| Bayesian model selection for optical flow estimation K Krajsek, R Mester Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12 …, 2007 | 21 | 2007 |
| Diffusion filtering without parameter tuning: Models and inference tools K Krajsek, H Scharr 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 20 | 2010 |
| Building blocks for computer vision with stochastic partial differential equations T Preusser, H Scharr, K Krajsek, RM Kirby International journal of computer vision 80, 375-405, 2008 | 19 | 2008 |
| View-based robot localization using spherical harmonics: Concept and first experimental results H Friedrich, D Dederscheck, K Krajsek, R Mester Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12 …, 2007 | 15 | 2007 |
| On the equivalence of variational and statistical differential motion estimation K Krajsek, R Mester 2006 IEEE Southwest Symposium on Image Analysis and Interpretation, 11-15, 2006 | 14 | 2006 |
| The edge preserving wiener filter for scalar and tensor valued images K Krajsek, R Mester Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14 …, 2006 | 14 | 2006 |
| A unified theory for steerable and quadrature filters K Krajsek, R Mester Advances in Computer Graphics and Computer Vision: International Conferences …, 2007 | 12 | 2007 |
| A Riemannian Bayesian framework for estimating diffusion tensor images K Krajsek, MI Menzel, H Scharr International journal of computer vision 120, 272-299, 2016 | 11 | 2016 |
| Riemannian anisotropic diffusion for tensor valued images K Krajsek, MI Menzel, M Zwanger, H Scharr Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 9 | 2008 |
| A regional air quality forecasting system over Europe: the MACC-II daily ensemble production. Geosci. Model Dev. 8 (9), 2777–2813 V Marécal, VH Peuch, C Andersson, S Andersson, J Arteta, M Beekmann, ... | 8 | 2015 |
| Marginalized Maximum a Posteriori Hyper‐parameter Estimation for Global Optical Flow Techniques K Krajsek, R Mester AIP Conference Proceedings 872 (1), 311-318, 2006 | 8 | 2006 |
| Wiener-optimized discrete filters for differential motion estimation K Krajsek, R Mester Lecture Notes in Computer Science 3417, 30-41, 2007 | 7 | 2007 |
| Signal and noise adapted filters for differential motion estimation K Krajsek, R Mester Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 …, 2005 | 7 | 2005 |
| HeAT–a Distributed and GPU-accelerated Tensor Framework for Data Analytics M Götz, C Debus, D Coquelin, K Krajsek, C Comito, P Knechtges, ... 2020 IEEE International Conference on Big Data (Big Data), 276-287, 2020 | 6 | 2020 |
