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Joakim Lindén
Joakim Lindén
PhD student, Mälardalen University
Verifierad e-postadress på mdu.se - Startsida
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Challenges in using neural networks in safety-critical applications
H Forsberg, J Lindén, J Hjorth, T Månefjord, M Daneshtalab
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), 1-7, 2020
122020
Evaluating the robustness of ml models to out-of-distribution data through similarity analysis
J Lindén, H Forsberg, M Daneshtalab, I Söderquist
European Conference on Advances in Databases and Information Systems, 348-359, 2023
32023
Curating datasets for visual runway detection
J Lindén, H Forsberg, J Haddad, E Tagebrand, E Cedernaes, EG Ek, ...
2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC), 1-9, 2021
32021
Autonomous Realization of Safety-and Time-Critical Embedded Artificial Intelligence
J Lindén, A Ermedahl, H Salomonsson, M Daneshtalab, B Forsberg, ...
2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-4, 2024
2024
Method, software product, device and system for integrating images
E Cedernaes, J Lindén
US Patent 11,727,092, 2023
2023
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Artiklar 1–5