| Railway transition curves: a review of the state-of-the-art and future research TF Brustad, R Dalmo Infrastructures 5 (5), 43, 2020 | 17 | 2020 |
| Toward interactive music generation: A position paper S Dadman, BA Bremdal, B Bang, R Dalmo IEEE Access 10, 125679-125695, 2022 | 11 | 2022 |
| Exploring benefits of using blending splines as transition curves TF Brustad, R Dalmo Applied sciences 10 (12), 4226, 2020 | 8 | 2020 |
| Finite element application of ERBS extraction T Kravetc, R Dalmo Journal of Computational and Applied Mathematics 379, 112947, 2020 | 5 | 2020 |
| Smooth spline blending surface approximation over a triangulated irregular network R Dalmo, J Bratlie, B Bang, A Laksĺ International Journal of Applied Mathematics 27 (1), 109-119, 2014 | 5 | 2014 |
| Fitting of discrete data with GERBS J Bratlie, R Dalmo, P Zanaty Large-Scale Scientific Computing: 9th International Conference, LSSC 2013 …, 2014 | 4 | 2014 |
| Local refinement of ERBS curves R Dalmo AIP Conference Proceedings 1570 (1), 204-211, 2013 | 4 | 2013 |
| Matrix factorization of multivariate Bernstein polynomials R Dalmo International Journal of Pure and Applied Mathematics 103 (4), 749-780, 2015 | 3 | 2015 |
| Spline representation of connected surfaces with custom-shaped holes A Pedersen, J Bratlie, R Dalmo Large-Scale Scientific Computing: 10th International Conference, LSSC 2015 …, 2015 | 3 | 2015 |
| Evaluation of smooth spline blending surfaces using GPU J Bratlie, R Dalmo, B Bang Curves and Surfaces: 8th International Conference, Paris, France, June 12-18 …, 2015 | 2 | 2015 |
| Multi-source data collection for state-of-the-art data analysis from ground-proximate images in sea ice classification L Woltmann, R Dalmo, R Kristiansen 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE …, 2017 | 1 | 2017 |
| Regression analysis using a blending type spline construction T Kravetc, B Bang, R Dalmo Mathematical Methods for Curves and Surfaces: 9th International Conference …, 2017 | 1 | 2017 |
| Expo-rational B-splines in geometric modeling R Dalmo Ph. D. thesis, University of Oslo, 2016 | 1* | 2016 |
| Image compression using an adjustable basis function. R Dalmo, J Bratlie, P Zanaty Mathematics in Engineering, Science & Aerospace (MESA) 6 (1), 2015 | 1 | 2015 |
| Performance of a wavelet shrinking method R Dalmo, J Bratlie, B Bang Numerical Methods and Applications: 8th International Conference, NMA 2014 …, 2015 | 1 | 2015 |
| Surface deformation over flexible joints using spline blending techniques B Haavardsholm, J Bratlie, R Dalmo AIP Conference Proceedings 1637 (1), 377-383, 2014 | 1 | 2014 |
| Modeling terminal ballistics using blending-type spline surfaces A Pedersen, J Bratlie, R Dalmo AIP Conference Proceedings 1637 (1), 796-803, 2014 | 1 | 2014 |
| Data approximation using a blending type spline construction R Dalmo, J Bratlie AIP Conference Proceedings 1631 (1), 147-152, 2014 | 1 | 2014 |
| Exploring future C++ features within a geometric modeling context J Bratlie, R Dalmo Norsk Informatikkonferanse (NIK), 2019 | | 2019 |
| Image processing with LERBS R Dalmo, J Bratlie, P Zanaty AIP Conference Proceedings 1637 (1), 271-278, 2014 | | 2014 |
Péter ZanatyVerified email at hin.no
