Jens Henriksson

Showing 9 publications

2023

Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system

Markus Borg, Jens Henriksson, Kasper Socha et al
Software Quality Journal. Vol. 31, p. 335-403
Journal article
2023

Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets

Jens Henriksson, Christian Berger, Stig Ursing et al
2023 IEEE International Conference On Artificial Intelligence Testing (AITest). Vol. 2023
Paper in proceeding
2021

Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems

Jens Henriksson, Christian Berger, Stig Ursing
Proceedings - 2021 47th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2021, p. 316-325
Paper in proceeding
2021

Performance analysis of out-of-distribution detection on trained neural networks

Jens Henriksson, Christian Berger, M. Borg et al
Information and Software Technology. Vol. 130
Journal article
2020

Controlled time series generation for automotive software-in-the-loop testing using GANs

Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson et al
Proceedings - 2020 IEEE International Conference on Artificial Intelligence Testing, AITest 2020, p. 39-46
Paper in proceeding
2019

Towards Structured Evaluation of Deep Neural Network Supervisors

Jens Henriksson, Christian Berger, Markus Borg et al
Proceedings - 2019 IEEE International Conference on Artificial Intelligence Testing, AITest 2019. Vol. 1
Paper in proceeding
2018

Automotive safety and machine learning: Initial results from a study on how to adapt the ISO 26262 safety standard

Jens Henriksson, Markus Borg, Cristofer Englund
2018 IEEE/ACM 40th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). Vol. May 2018, p. 47-49
Paper in proceeding

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