Automated extraction of conceptual models from user stories via NLP M Robeer, G Lucassen, JMEM Van Der Werf, F Dalpiaz, S Brinkkemper 2016 IEEE 24th international requirements engineering conference (RE), 196-205, 2016 | 165 | 2016 |
Extracting conceptual models from user stories with Visual Narrator G Lucassen, M Robeer, F Dalpiaz, JMEM Van Der Werf, S Brinkkemper Requirements Engineering 22, 339-358, 2017 | 155 | 2017 |
Contrastive Explanations with Local Foil Trees J van der Waa, M Robeer, J van Diggelen, M Brinkhuis, M Neerincx 2018 Workshop on Human Interpretability in Machine Learning (WHI 2018), 2018 | 113* | 2018 |
‘Just like I thought’: Street‐level bureaucrats trust AI recommendations if they confirm their professional judgment F Selten, M Robeer, S Grimmelikhuijsen Public Administration Review 83 (2), 263-278, 2023 | 47 | 2023 |
Generating realistic natural language counterfactuals M Robeer, F Bex, A Feelders Findings of the Association for Computational Linguistics: EMNLP 2021, 3611-3625, 2021 | 39 | 2021 |
Contrastive Explanation for Machine Learning MJ Robeer Utrecht University, 2018 | 25 | 2018 |
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis M Robeer, M Bron, E Herrewijnen, R Hoeseni, F Bex arXiv preprint arXiv:2411.15257, 2024 | | 2024 |
Explaining Model Behavior with Global Causal Analysis M Robeer, F Bex, A Feelders, H Prakken 1st World Conference on eXplainable Artificial Intelligence (xAI 2023) 1901 …, 2023 | | 2023 |