| Procedural level generation with answer set programming for general video game playing X Neufeld, S Mostaghim, D Perez-Liebana 2015 7th Computer Science and Electronic Engineering Conference (CEEC), 207-212, 2015 | 32 | 2015 |
| A hybrid approach to planning and execution in dynamic environments through hierarchical task networks and behavior trees X Neufeld, S Mostaghim, S Brand Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018 | 28 | 2018 |
| Building a planner: A survey of planning systems used in commercial video games X Neufeld, S Mostaghim, DL Sancho-Pradel, S Brand IEEE Transactions on Games 11 (2), 91-108, 2017 | 20 | 2017 |
| HTN fighter: Planning in a highly-dynamic game X Neufeld, S Mostaghim, D Perez-Liebana 2017 9th Computer Science and Electronic Engineering (CEEC), 189-194, 2017 | 14 | 2017 |
| A hybrid planning and execution approach through HTN and MCTS X Neufeld, S Mostaghim, D Perez-Liebana The 3rd Workshop on Integrated Planning, Acting, and Execution-ICAPS 19, 37-45, 2019 | 11 | 2019 |
| Challenges Experienced in Public Service Media Recommendation Systems A Grün, X Neufeld Proceedings of the 15th ACM Conference on Recommender Systems, 541-544, 2021 | 8 | 2021 |
| Evolving Game State Evaluation Functions for a Hybrid Planning Approach X Neufeld, S Mostaghim, D Perez-Liebana 2019 IEEE Conference on Games (CoG), 1-8, 2019 | 5 | 2019 |
| Translating the Public Service Media Remit into Metrics and Algorithms A Grün, X Neufeld Proceedings of the 16th ACM Conference on Recommender Systems, 460-463, 2022 | 3 | 2022 |
| Transparently Serving the Public: Enhancing Public Service Media Values through Exploration A Grün, X Neufeld Proceedings of the 17th ACM Conference on Recommender Systems, 1045-1048, 2023 | 2 | 2023 |
| Long-term planning and reactive execution in highly dynamic environments X Neufeld | 1 | 2020 |
| Enhancing Recommendation Quality of the SASRec Model by Mitigating Popularity Bias VH Koneru, X Neufeld, S Loth, A Grün Proceedings of the 18th ACM Conference on Recommender Systems, 781-783, 2024 | | 2024 |