| Reinforcement learning for personalization: A systematic literature review F Den Hengst, EM Grua, A el Hassouni, M Hoogendoorn Data Science 3 (2), 107-147, 2020 | 69 | 2020 |
| Planning for potential: efficient safe reinforcement learning F Den Hengst, V François-Lavet, M Hoogendoorn, F van Harmelen Machine Learning 111 (6), 2255-2274, 2022 | 29 | 2022 |
| Reinforcement learning for personalized dialogue management F Den Hengst, M Hoogendoorn, F Van Harmelen, J Bosman IEEE/WIC/ACM International Conference on Web Intelligence, 59-67, 2019 | 29 | 2019 |
| Log parsing evaluation in the era of modern software systems S Petrescu, F Den Hengst, A Uta, JS Rellermeyer 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 15 | 2023 |
| Explainable fraud detection with deep symbolic classification S Visbeek, E Acar, F den Hengst World Conference on Explainable Artificial Intelligence, 350-373, 2024 | 14 | 2024 |
| Reinforcement learning with option machines F Den Hengst, V François-Lavet, M Hoogendoorn, F van Harmelen 31st International Joint Conference on Artificial Intelligence, IJCAI 2022 …, 2022 | 13 | 2022 |
| Does reinforcement learning improve outcomes for critically ill patients? A systematic review and level-of-readiness assessment M Otten, AR Jagesar, TA Dam, LA Biesheuvel, F den Hengst, ... Critical care medicine 52 (2), e79-e88, 2024 | 9 | 2024 |
| Conformal intent classification and clarification for fast and accurate intent recognition F den Hengst, R Wolter, P Altmeyer, A Kaygan Findings of the Association for Computational Linguistics: NAACL 2024, 2412-2432, 2024 | 7 | 2024 |
| Guideline-informed reinforcement learning for mechanical ventilation in critical care F den Hengst, M Otten, P Elbers, F van Harmelen, V Francois-Lavet, ... Artificial Intelligence in Medicine 147, 102742, 2024 | 6 | 2024 |
| Release of the systematic literature review into reinforcement learning for personalization F den Hengst, E Grua, A el Hassouni, M Hoogendoorn Zenodo, 2020 | 5 | 2020 |
| Intelligent support systems for lifestyle change: integrating dialogue, information extraction, and reasoning PY Chen, SB Santamaria, MHT De Boer, F Den Hengst, BA Kamphorst, ... 3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI …, 2024 | 4 | 2024 |
| Collecting high-quality dialogue user satisfaction ratings with third-party annotators M van Zeelt, F den Hengst, SH Hashemi Proceedings of the 2020 Conference on Human Information Interaction and …, 2020 | 4 | 2020 |
| Strategic Workforce Planning with Deep Reinforcement Learning Y Smit, F den Hengst, S Bhulai, E Mehdad International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 3 | 2022 |
| SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments H Aydın, K Godin-Dubois, LG Braz, F Hengst, K Baraka, MM Çelikok, ... arXiv preprint arXiv:2501.19245, 2025 | 2 | 2025 |
| Bridging the Gap Between AI Planning and Reinforcement Learning Z Ajanovi, T Gros, F Den Hengst, D Holler, H Kokel, A Taitler AAAI Conference on Artificial Intelligence, 2025 | 1 | 2025 |
| Towards an Experimentation Platform for Hybrid Human-AI Sequential Decision-Making H Aydin, K Godin-Dubois, LG Braz, F Den Hengst, K Baraka, MM Çelikok, ... 4th International Conference on Hybrid Human-Artificial Intelligence, HHAI …, 2025 | | 2025 |
| Hierarchical Conformal Classification F den Hengst, I Blin, M Mohammadi, SIH Shah, T Younesian | | 2025 |
| Hierarchical Conformal Classification F Hengst, I Blin, M Mohammadi, SIH Shah, T Younesian arXiv preprint arXiv:2508.13288, 2025 | | 2025 |
| ORBIT: An Object Property Reasoning Benchmark for Visual Inference Tasks A Kolari, M Khojasteh, Y Jiang, F Hengst, F Ilievski arXiv preprint arXiv:2508.10956, 2025 | | 2025 |
| Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles CO Hoekstra, F Hengst arXiv preprint arXiv:2508.08080, 2025 | | 2025 |