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Magnus Malmström
Magnus Malmström
Reseacher FOI Linköping
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5G positioning-a machine learning approach
M Malmström, I Skog, SM Razavi, Y Zhao, F Gunnarsson
2019 16th Workshop on Positioning, Navigation and Communications (WPNC), 1-6, 2019
392019
Uncertainties in neural networks: A system identification approach
M Malmström
Linköping University Electronic Press, 2021
82021
Asymptotic prediction error variance for feedforward neural networks
M Malmström, I Skog, D Axehill, F Gustafsson
IFAC-PapersOnLine 53 (2), 1108-1113, 2020
52020
Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty
M Malmström, I Skog, D Axehill, F Gustafsson
2021 IEEE 24th International Conference on Information Fusion (FUSION), 1-6, 2021
42021
5G positioning using machine learning
M Malmström
42018
Detection of outliers in classification by using quantified uncertainty in neural networks
M Malmström, I Skog, D Axehill, F Gustafsson
2022 25th International Conference on Information Fusion (FUSION), 1-7, 2022
32022
Uncertainty quantification in neural network classifiers—A local linear approach
M Malmström, I Skog, D Axehill, F Gustafsson
Automatica 163, 111563, 2024
22024
Fusion framework and multimodality for the Laplacian approximation of Bayesian neural networks
M Malmström, I Skog, D Axehill, F Gustafsson
arXiv preprint arXiv:2310.08315, 2023
22023
Extended target tracking utilizing machine-learning software–with applications to animal classification
M Malmström, A Kullberg, I Skog, D Axehill, F Gustafsson
IEEE Signal Processing Letters, 2024
12024
On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model
M Malmström, I Skog, D Axehill, F Gustafsson
IFAC-PapersOnLine 56 (2), 5843-5848, 2023
12023
A Novel and Fast Approach for Reconstructing CASSI-Raman Spectra using Generative Adversarial Networks
J Eek, D Gustafsson, L Hollmann, M Nordberg, I Skog, M Malmström
2022 Eleventh International Conference on Image Processing Theory, Tools and …, 2022
12022
Approximative Uncertainty in Neural Network Predictions
M Malmström
Linköping University Electronic Press, 2023
2023
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Artiklar 1–12