Jens Henriksson

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Machine Learning

Trained Neural Network

Top Venues

Inf. Softw. Technol.

Publications

Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets. CoRR (2024)
Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets. AITest (2023)
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) (2023)
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)
Jens Henriksson, Christian Berger, Stig Ursing
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems. CoRR (2022)
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 (2022)
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 (2022)
Kasper Socha, Markus Borg, Jens Henriksson
SMIRK: A machine learning-based pedestrian automatic emergency braking system with a complete safety case. Softw. Impacts 13 (2022)
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 (2021)
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 (2021)
Jens Henriksson, Christian Berger, Stig Ursing
Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems. SEAA (2021)
Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir
Controlled time series generation for automotive software-in-the-loop testing using GANs. CoRR (2020)
Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir
Controlled time series generation for automotive software-in-the-loop testing using GANs. AITest (2020)
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)
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing
Towards Structured Evaluation of Deep Neural Network Supervisors. CoRR (2019)
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)
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)