Jens Henriksson

17 papers B 3Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets.
CoRR
Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg
2023 J jnl
Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system.
Softw. Qual. J.
Markus Borg, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam
2023 — conf
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets.
AITest
Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg
2023 B conf
Out-of-Distribution Detection as Support for Autonomous Driving Safety Lifecycle.
REFSQ
Jens Henriksson, Stig Ursing, Murat Erdogan, Fredrik Warg, Anders Thorsén, Johan Jaxing, Ola Örsmark, Mathias Örtenberg Toftås
2022 J jnl
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System.
CoRR
Markus Borg, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam
2022 J jnl
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks.
CoRR
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund
2022 J jnl
SMIRK: A machine learning-based pedestrian automatic emergency braking system with a complete safety case.
Softw. Impacts
Kasper Socha, Markus Borg, Jens Henriksson
2022 J jnl
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems.
CoRR
Jens Henriksson, Christian Berger, Stig Ursing
2021 J jnl
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks.
CoRR
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund
2021 J jnl
Performance analysis of out-of-distribution detection on trained neural networks.
Inf. Softw. Technol.
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund
2021 B conf
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems.
SEAA
Jens Henriksson, Christian Berger, Stig Ursing
2020 — conf
Controlled time series generation for automotive software-in-the-loop testing using GANs.
AITest
Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Halla Einarsdóttir
2020 J jnl
Controlled time series generation for automotive software-in-the-loop testing using GANs.
CoRR
Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Halla Einarsdóttir
2019 B conf
Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks.
SEAA
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund
2019 — conf
Towards Structured Evaluation of Deep Neural Network Supervisors.
AITest
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing
2019 J jnl
Towards Structured Evaluation of Deep Neural Network Supervisors.
CoRR
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing
2018 — conf
Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard.
SEFAIAS@ICSE
Jens Henriksson, Markus Borg, Cristofer Englund