Marginalized particle filters for mixed linear/nonlinear state-space models T Schön, F Gustafsson, PJ Nordlund IEEE Transactions on Signal Processing 53 (7), 2279-2289, 2005 | 895 | 2005 |
Using inertial sensors for position and orientation estimation M Kok, JD Hol, TB Schön Foundations and Trends in Signal Processing 11 (1-2), 1-153, 2017 | 669 | 2017 |
Automatic diagnosis of the 12-lead ECG using a deep neural network AH Ribeiro, MH Ribeiro, GMM Paixão, DM Oliveira, PR Gomes, ... Nature Communications 11 (1760), 2020 | 667 | 2020 |
System identification of nonlinear state-space models TB Schön, A Wills, B Ninness Automatica 47 (1), 39-49, 2011 | 663 | 2011 |
On resampling algorithms for particle filters JD Hol, TB Schön, F Gustafsson IEEE Nonlinear Statistical Signal Processing Workshop, 2006 | 615 | 2006 |
Identification of Hammerstein–Wiener models A Wills, TB Schön, L Ljung, B Ninness Automatica 49 (1), 70-81, 2013 | 368 | 2013 |
Particle Gibbs with Ancestor Sampling F Lindsten, MI Jordan, TB Schön Journal of Machine Learning Research 15, 2145-2184, 2014 | 325 | 2014 |
Evaluating scalable bayesian deep learning methods for robust computer vision FK Gustafsson, M Danelljan, TB Schön Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 308 | 2020 |
The eighth visual object tracking VOT2020 challenge results M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ... European Conference on Computer Vision (ECCV), 547-601, 2020 | 303 | 2020 |
Indoor positioning using ultrawideband and inertial measurements M Kok, JD Hol, TB Schön IEEE Transactions on Vehicular Technology 64 (4), 1293-1303, 2015 | 227 | 2015 |
Complexity analysis of the marginalized particle filter R Karlsson, T Schön, F Gustafsson IEEE Transactions on Signal Processing 53 (11), 4408-4411, 2005 | 222 | 2005 |
From pixels to torques: Policy learning with deep dynamical models N Wahlström, TB Schön, MP Deisenroth International Conference on Machine Learning (ICML) - Deep Learning Workshop, 2015 | 219 | 2015 |
Evaluating model calibration in classification J Vaicenavicius, D Widmann, C Andersson, F Lindsten, J Roll, TB Schön International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019 | 215 | 2019 |
A basic convergence result for particle filtering XL Hu, TB Schön, L Ljung IEEE Transactions on Signal Processing 56 (4), 1337-1348, 2008 | 196 | 2008 |
Backward simulation methods for Monte Carlo statistical inference F Lindsten, TB Schön Foundations and Trends in Machine Learning 6 (1), 1-143, 2013 | 190 | 2013 |
Tightly coupled UWB/IMU pose estimation J Hol, F Dijkstra, H Luinge, TB Schön Proceedings of the IEEE International Conference on Ultra-Wideband (ICUWB …, 2009 | 189 | 2009 |
Magnetometer calibration using inertial sensors M Kok, TB Schön IEEE Sensors Journal 16 (14), 5679-5689, 2016 | 187 | 2016 |
Machine Learning: A First Course for Engineers and Scientists A Lindholm, N Wahlström, F Lindsten, TB Schön Cambridge University Press, 2022 | 169 | 2022 |
Bayesian inference and learning in Gaussian process state-space models with particle MCMC R Frigola, F Lindsten, TB Schön, CE Rasmussen Advances in Neural Information Processing Systems (NIPS), 3156-3164, 2013 | 169 | 2013 |
An optimization-based approach to human body motion capture using inertial sensors M Kok, J Hol, TB Schön 19th World Congress of the International Federation of Automatic Control …, 2014 | 163 | 2014 |