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Magnus Malmström: Publications

The following list of publications has been generated automatically from the DiVA database.


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Journal papers

2024
Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, "Extended Target Tracking Utilizing Machine-Learning Software–With Applications to Animal Classification", IEEE Signal Processing Letters, 31: 376-380, 2024.
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Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, "Uncertainty quantification in neural network classifiers—A local linear approach", Automatica, 163, 2024.
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Conference papers

2023
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, "On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model", Special issue: 22nd IFAC World Congress, IFAC papersonline, 5843-5848, 2023.
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2022
Jacob Eek, David Gustafsson, Ludwig Hollmann, Markus Nordberg, Isaac Skog, Magnus Malmström, "A Novel and Fast Approach for Reconstructing CASSI-Raman Spectra using Generative Adversarial Networks", 2022 ELEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), International Conference on Image Processing Theory Tools and Applications, 2022.
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Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, "Detection of outliers in classification by using quantified uncertainty in neural networks", 25th International Conference of Information Fusion, 2022.
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2021
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, "Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty", 2021 IEEE 24th International Conference on Information Fusion (FUSION), 737-742, 2021.
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2020
Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson, "Asymptotic Prediction Error Variance for Feedforward Neural Networks", 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, electronic meeting, UL 11-17, 2020, IFAC-PapersOnLine, 1108-1113, 2020.
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2019
Magnus Malmström, Isaac Skog, Sara Modarres Razavi, Yuxin Zhao, Fredrik Gunnarsson, "5G Positioning: A Machine Learning Approach", 2019 16th Workshop on Positioning, Navigation and Communications (WPNC), Workshop on Positioning, Navigation and Communications (WPNC), 2019.
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Theses

2023
Magnus Malmström, "Approximative Uncertainty in Neural Network Predictions", Linköping Studies in Science and Technology. Dissertations, No. 2358, 2023.
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2021
Magnus Malmström, "Uncertainties in Neural Networks: A System Identification Approach", Linköping Studies in Science and Technology. Licentiate Thesis, No. 1902, 2021.
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The publication list is extracted from the DiVA - Academic Archive Online - publishing system. The extraction software is developed by Johan Wiklund.
Magnus Malmström

PhD Student in Automatic Control

(Swedish: Doktorand i reglerteknik)

Phone:
+46 73 829 37 27
E-mail:
magnus.malmstrom_at_liu.se
Address:
Dept. of Electrical Engineering
Linköping University
SE-581 83 Linköping
Sweden
Visiting Address:
Campus Valla
Building B
Room 2A:523


Informationsansvarig: Magnus Malmström
Senast uppdaterad: 2018-09-11