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, p. 74-81
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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