Jens Henriksson

Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System

M. H. Moghadam, Markus Borg, S. Sathyamoorthy, 2022, ArXiv.

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

M. H. Moghadam, Markus Borg, S. Sathyamoorthy, 2022, Software Quality Journal.

Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks

Christian Berger, Markus Borg, Cristofer Englund, 2019, 2019 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA).

10 lessons about budget consolidation

Jens Henriksson, Jens Henriksson, 2007 .

The Merger of Stock Exchanges and Co-movement : The case of NASDAQ and OMX Abstract

Wenjing Xie, Jens Henriksson, 2015 .

Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard

Markus Borg, Cristofer Englund, Jens Henriksson, 2018, 2018 IEEE/ACM 1st International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS).

Out-of-Distribution Detection as Support for Autonomous Driving Safety Lifecycle

Johan Jaxing, Jens Henriksson, Fredrik Warg, 2023, REFSQ.

Towards Structured Evaluation of Deep Neural Network Supervisors

Christian Berger, Markus Borg, Cristofer Englund, 2019, 2019 IEEE International Conference On Artificial Intelligence Testing (AITest).

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

Cristofer Englund, Markus Borg, Christian Berger, 2021, Inf. Softw. Technol..

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

Karl Bäckström, Dhasarathy Parthasarathy, Jens Henriksson, 2020, 2020 IEEE International Conference On Artificial Intelligence Testing (AITest).