KS@LTH at SemEval-2020 Task 12: Fine-tuning Multi- and Monolingual Transformer Models for Offensive Language Detection. - Kasper Socha (SemEval@COLING, 2020)

Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL. - Hamid Ebadi; Mahshid Helali Moghadam; Markus Borg; Gregory Gay 002; Afonso Fontes; Kasper Socha (AITest, 2021)

Efficient and Effective Generation of Test Cases for Pedestrian Detection - Search-based Software Testing of Baidu Apollo in SVL. - Hamid Ebabi; Mahshid Helali Moghadam; Markus Borg; Gregory Gay 002; Afonso Fontes; Kasper Socha (CoRR, 2021)

SMIRK: A machine learning-based pedestrian automatic emergency braking system with a complete safety case. - Kasper Socha; Markus Borg; Jens Henriksson (Softw. Impacts, 2022)

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; Olof Lennartsson; Elias Sonnsjö Lönegren; Thanh Bui; Piotr Tomaszewski; Sankar Raman Sathyamoorthy; Sebastian Brink; Mahshid Helali Moghadam (Softw. Qual. J., 2023)