| Predicting Chaotic Time Series using Machine Learning Techniques H Maathuis, L Boulogne, M Wiering, A Sterk BNAIC, 15, 2017 | 8 | 2017 |
| Identifying XAI User Needs: Gaps between Literature and Use Cases in the Financial Sector J Kim, H Maathuis, C van Montfort, D Sent | 1 | 2024 |
| Human-centered evaluation of explainable AI applications: a systematic review J Kim, H Maathuis, D Sent Frontiers in Artificial Intelligence 7, 1456486, 2024 | | 2024 |
| Long-Range Human Detection in Drone Camera Images J Heemskerk, T Mioch, H Maathuis, H Aldewereld ISCRAM Proceedings 21, 2024 | | 2024 |
| Developing Meaningful Explanations for Machine Learning Models in the Telecom Domain H Maathuis HHAI 2024: HYBRID HUMAN AI SYSTEMS FOR THE SOCIAL GOOD, 379, 2023 | | 2023 |
| Corrosion Cracking Segmentation in Ship-Vessels using Few-Shot Techniques H Maathuis, K Dijkstra, M Aghaei, S de Geus, H Koelman Compit '23, 85-95, 2023 | | 2023 |
| On the Scalability of Deep Inverse Reinforcement Learning in High-Dimensional State Spaces H Maathuis | | 2020 |
| Connectionist Machine Learning Techniques in a 2D Arcade Game J Langhorst, H Maathuis Faculty of Science and Engineering, 2016 | | 2016 |
