Max Schröder
Cited by
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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
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
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
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
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
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
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
Lifted filtering via exchangeable decomposition
S Lüdtke, M Schröder, S Bader, K Kersting, T Kirste
arXiv preprint arXiv:1801.10495, 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
Approximate probabilistic parallel multiset rewriting using mcmc
S Lüdtke, M Schröder, T Kirste
KI 2018: Advances in Artificial Intelligence: 41st German Conference on AI …, 2018
Abstracting from observation-equivalent entities in human behavior modeling
M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste
Workshops at the Thirty-First AAAI Conference on Artificial Intelligence, 2017
LiMa: sequential lifted marginal filtering on multiset state descriptions
M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste
KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference …, 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
Subsidiäre Assistenzsysteme für Menschen mit Demenz, ihre Angehörigen und Pflegekräfte
M Schröder, S Bader, T Kirste
Digitale Transformation von Dienstleistungen im Gesundheitswesen III …, 2017
An Office Scenario Dataset for Benchmarking Observation-equivalent Entities
M Schröder, S Lüdtke, S Bader, F Krüger, T Kirste
TAPP: Defining standard provenance information for clinical research data and workflows-Obstacles and opportunities
K Gierend, JAH Wodke, S Genehr, R Gött, R Henkel, F Krüger, ...
Companion Proceedings of the ACM Web Conference 2023, 1551-1554, 2023
Towards in-situ knowledge acquisition for research data provenance from electronic lab notebooks.
M Schröder, S Stählke, JB Nebe, F Krüger
DaMaLOS, 1-12, 2020
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
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
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
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