| Approximate stream reasoning with metric temporal logic under uncertainty D de Leng, F Heintz Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2760-2767, 2019 | 26 | 2019 |
| Dyknow: A dynamically reconfigurable stream reasoning framework as an extension to the robot operating system D De Leng, F Heintz 2016 IEEE International Conference on Simulation, Modeling, and Programming …, 2016 | 25 | 2016 |
| Qualitative spatio-temporal stream reasoning with unobservable intertemporal spatial relations using landmarks D de Leng, F Heintz Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 22 | 2016 |
| Spatio-temporal stream reasoning with incomplete spatial information F Heintz, D de Leng ECAI 2014, 429-434, 2014 | 21 | 2014 |
| Towards on-demand semantic event processing for stream reasoning D de Leng, F Heintz 17th International Conference on Information Fusion (FUSION), 1-8, 2014 | 12 | 2014 |
| Ontology-based introspection in support of stream reasoning D de Leng, F Heintz Thirteenth Scandinavian Conference on Artificial Intelligence, 78-87, 2015 | 9 | 2015 |
| Semantic Information Integration with Transformations for Stream Reasoning F Heintz, D de Leng Proceedings of the 16th International Conference on Information Fusion (FUSION), 2013 | 9 | 2013 |
| Towards adaptive semantic subscriptions for stream reasoning in the robot operating system D de Leng, F Heintz 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 6 | 2017 |
| A second screen journey to the cup: Twitter dynamics during the stanley cup playoffs D de Leng, M Tiger, M Almquist, V Almquist, N Carlsson 2018 Network Traffic Measurement and Analysis Conference (TMA), 1-8, 2018 | 5 | 2018 |
| Partial-state progression for stream reasoning with metric temporal logic D de Leng, F Heintz Sixteenth International Conference on Principles of Knowledge Representation …, 2018 | 4 | 2018 |
| Extending semantic matching in DyKnow to handle indirectly-available streams DN de Leng | 4 | 2013 |
| Grounding stream reasoning research P Bonte, JP Calbimonte, D de Leng, D Dell'Aglio, E Della Valle, T Eiter, ... Transactions on Graph Data and Knowledge, 2024 | 3 | 2024 |
| Robust Stream Reasoning Under Uncertainty D De Leng Linköping University Electronic Press, 2019 | 3 | 2019 |
| FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability MF Sikder, R Ramachandranpillai, D de Leng, F Heintz arXiv preprint arXiv:2406.14281, 2024 | 2 | 2024 |
| Urdarbrunnen: Towards an AI-enabled mission system for Combat Search and Rescue operations E Olsson, M Nilsson, K Bergman, D de Leng, S Carlén, E Karlsson, ... Swedish Artificial Intelligence Society, 38-45, 2023 | 2 | 2023 |
| Generating synthetic fair syntax-agnostic data by learning and distilling fair representation MF Sikder, R Ramachandranpillai, D de Leng, F Heintz arXiv preprint arXiv:2408.10755, 2024 | 1 | 2024 |
| Spatio-Temporal Stream Reasoning with Adaptive State Stream Generation D De Leng Linköping University Electronic Press, 2017 | 1 | 2017 |
| Querying flying robots and other Things: Ontology-supported stream reasoning D de Leng XRDS: Crossroads, The ACM Magazine for Students 22 (2), 44-47, 2015 | 1 | 2015 |
| Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation MF Sikder, D de Leng, F Heintz arXiv preprint arXiv:2410.01423, 2024 | | 2024 |
| Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation M Fahim Sikder, D de Leng, F Heintz arXiv e-prints, arXiv: 2410.01423, 2024 | | 2024 |
