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ORCIDJens Henriksson
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2020 – today
- 2024
[i7]Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg:
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets. CoRR abs/2401.17013 (2024)- 2023
- [j3]Markus Borg
, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam:
Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system. Softw. Qual. J. 31(2): 335-403 (2023) - [c7]Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg:
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets. AITest 2023: 74-81 - [c6]Jens Henriksson, Stig Ursing, Murat Erdogan, Fredrik Warg, Anders Thorsén, Johan Jaxing, Ola Örsmark, Mathias Örtenberg Toftås:
Out-of-Distribution Detection as Support for Autonomous Driving Safety Lifecycle. REFSQ 2023: 233-242 - 2022
- [j2]Kasper Socha, Markus Borg, Jens Henriksson:
SMIRK: A machine learning-based pedestrian automatic emergency braking system with a complete safety case. Softw. Impacts 13: 100352 (2022) - [i6]Markus Borg, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam:
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System. CoRR abs/2204.07874 (2022) - [i5]Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund:
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks. CoRR abs/2204.12378 (2022) - [i4]Jens Henriksson, Christian Berger, Stig Ursing:
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems. CoRR abs/2204.12402 (2022) - 2021
- [j1]Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund:
Performance analysis of out-of-distribution detection on trained neural networks. Inf. Softw. Technol. 130: 106409 (2021) - [c5]Jens Henriksson, Christian Berger, Stig Ursing:
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems. SEAA 2021: 316-325 - [i3]Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund:
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks. CoRR abs/2103.15580 (2021) - 2020
- [c4]Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir:
Controlled time series generation for automotive software-in-the-loop testing using GANs. AITest 2020: 39-46 - [i2]Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir:
Controlled time series generation for automotive software-in-the-loop testing using GANs. CoRR abs/2002.06611 (2020)
2010 – 2019
- 2019
- [c3]Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing:
Towards Structured Evaluation of Deep Neural Network Supervisors. AITest 2019: 27-34 - [c2]Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund:
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks. SEAA 2019: 113-120 - [i1]Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing:
Towards Structured Evaluation of Deep Neural Network Supervisors. CoRR abs/1903.01263 (2019) - 2018
- [c1]Jens Henriksson, Markus Borg, Cristofer Englund:
Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard. SEFAIAS@ICSE 2018: 47-49
Coauthor Index
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