Challenges in annotation of user data for ubiquitous systems: Results from the 1st arduous workshop K Yordanova, A Paiement, M Schröder, E Tonkin, P Woznowski, ... arXiv preprint arXiv:1803.05843, 2018 | 21 | 2018 |
OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling K Butenko, C Bahls, M Schröder, R Köhling, U van Rienen PLoS computational biology 16 (7), e1008023, 2020 | 17 | 2020 |
Tool support for the online annotation of sensor data M Schröder, K Yordanova, S Bader, T Kirste Proceedings of the 3rd International Workshop on Sensor-based Activity …, 2016 | 16 | 2016 |
Requirements for Documenting Electrical Cell Stimulation Experiments for Replicability and Numerical Modeling∗ K Budde, J Zimmermann, E Neuhaus, M Schröder, AM Uhrmacher, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 13 | 2019 |
Combining symbolic reasoning and deep learning for human activity recognition FM Rueda, S Lüdtke, M Schröder, K Yordanova, T Kirste, GA Fink 2019 IEEE International Conference on Pervasive Computing and Communications …, 2019 | 10 | 2019 |
Lifted filtering via exchangeable decomposition S Lüdtke, M Schröder, S Bader, K Kersting, T Kirste arXiv preprint arXiv:1801.10495, 2018 | 10 | 2018 |
State-space abstractions for probabilistic inference: a systematic review S Lüdtke, M Schröder, F Krüger, S Bader, T Kirste Journal of Artificial Intelligence Research 63, 789-848, 2018 | 9 | 2018 |
Reconstruction of Everyday Life Behaviour based on Noisy Sensor Data M Schröder, S Bader, F Krüger, T Kirste Proceedings of the 8th International Conference on Agents and Artificial …, 2016 | 6 | 2016 |
Approximate probabilistic parallel multiset rewriting using mcmc S Lüdtke, M Schröder, T Kirste Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2018 | 5 | 2018 |
LiMa: sequential lifted marginal filtering on multiset state descriptions M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2017 | 4 | 2017 |
Abstracting from observation-equivalent entities in human behavior modeling M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste AAAI Workshops, 2017 | 4 | 2017 |
An Office Scenario Dataset for Benchmarking Observation-equivalent Entities M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste | 3 | 2016 |
PROVenance Patterns in Numerical Modelling and Finite Element Simulation Processes of Bio-electric Systems* M Schröder, H Raben, F Krüger, A Ruscheinski, U van Rienen, ... 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 2 | 2019 |
Reproducible research is more than publishing research artefacts: A systematic analysis of jupyter notebooks from research articles M Schröder, F Krüger, S Spors arXiv preprint arXiv:1905.00092, 2019 | 2 | 2019 |
Where are my colleagues? Tracking and Counting Multiple Persons using Lifted Marginal Filtering S Lüdtke, M Schröder, F Krüger, T Kirste Proceedings of the 4th international Workshop on Sensor-based Activity …, 2017 | 2 | 2017 |
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste arXiv preprint arXiv:1707.06446, 2017 | 2 | 2017 |
Subsidiäre Assistenzsysteme für Menschen mit Demenz, ihre Angehörigen und Pflegekräfte M Schröder, S Bader, T Kirste Digitale Transformation von Dienstleistungen im Gesundheitswesen III, 137-149, 2017 | 2 | 2017 |
Intra-consortia data sharing platforms for interdisciplinary collaborative research projects M Schröder, H LeBlanc, S Spors, F Krüger it-Information Technology 62 (1), 19-28, 2020 | 1 | 2020 |
A Comprehensive Approach to Support Research Processes in the CRC 1270 ELAINE M Schröder, F Krüger, R Zepf, U van Rienen, S Spors WissKom 2019, 2019 | 1 | 2019 |
Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation M Schröder, S Staehlke, P Groth, JB Nebe, S Spors, F Krüger Journal of Biomedical Semantics 13 (1), 1-22, 2022 | | 2022 |