Language switch: Deutsch
| Login
You are here:
Main content:

M.Sc. Max Schröder

Max Schröder
Phone
/
Fax
/
Room
E-Mail

Personal Data

Doctoral Researcher for Research Data Management in CRC ELAINE
Research Group Signal Theory and Digital Signal Processing

Publications

Articles:

1.
Schröder, M.; Staehlke, S.; Groth, P.; Nebe, B.; Spors, S.; Krüger, F.:
Structure-based knowledge acquisition from electronic lab notebooks for researchdata provenance documentation. In: Journal of Biomedical Semantics, vol. 13 (1/2022)
doi:10.1186/s13326-021-00257-x
2.
Butenko, K.; Bahls, C.; Schröder, M.; Köhling, R.; van Rienen, U.:
OSS-DBS: Open-source simulation platform for deep brain stimulation with a comprehensive automated modeling. In: PLOS Computational Biology, vol. 16 (7/2020)
doi:10.1371/journal.pcbi.1008023
3.
Schröder, M.; LeBlanc, H.; Spors, S.; Krüger, F.:
Intra-consortia Data Sharing Platforms for Interdisciplinary Collaborative Research Projects. In: Information Technology, vol. 62, no. 1 (2/2020), pp. 19-28
doi:10.1515/itit-2019-0039
4.
Lüdtke, S.; Schröder, M.; Krüger, F.; Bader, S.; Kirste, T.:
State-Space Abstractions for Probabilistic Inference: A Systematic Review. In: Journal of Artificial Intelligence Research, vol. 63 (12/2018), pp. 789-848
doi:10.1613/jair.1.11261
5.
Schröder, M.:
Ich will noch nicht gehen: Wie Menschen mit Demenz dank IT-Assistenz länger zuhause bleiben können. In: Traditio et Innovatio (6/2016)

Contributions to Collections:

6.
Schröder, M.; Staehlke, S.; Krüger, F.:
Encoding Reproducible and Executable Experiments With Jupyter Notebooks. Reference Module in Biomedical Sciences., Elsevier, 2020
doi:10.1016/b978-0-12-801238-3.11686-1
7.
Lüdtke, S.; Schröder, M.; Kirste, T.:
Approximate Probabilistic Parallel Multiset Rewriting Using MCMC. Lecture Notes in Computer Science. pp. 73-85, Springer International Publishing, 2018
doi:10.1007/978-3-030-00111-7_7
8.
Schröder, M.; Bader, S.; Kirste, T.:
Subsidiäre Assistenzsysteme für Menschen mit Demenz, ihre Angehörigen und Pflegekräfte. Digitale Transformation von Dienstleistungen im Gesundheitswesen III. pp. 137-149, Springer Fachmedien Wiesbaden, 2017
doi:10.1007/978-3-658-13642-0_9

Contributions to Proceedings:

9.
Schröder, M.; Hahne, W.; Krüger, F.; Spors, S.:
Reproducibility of an ABX-Listening Test using Electronic Documentation and Automation: A case study. German Annual Conference on Acoustics (DAGA), Vienna, Austria, 2021
10.
Schröder, M.; Staehlke, S.; Nebe, B.; Krüger, F.:
Towards in-situ knowledge acquisition for research data provenance from electronic lab notebooks. Proceedings of the 1st Workshop on Research data management for Linked Open Science (DaMaLOS) co-located with 19th International Semantic Web Conference, Athens, Greece, 2020
doi:10.4126/FRL01-006423288
11.
Schröder, M.; Radlof, W.; Benz, C.; Spors, S.; Krüger, F.; Sander, M.:
Reproduzierbarkeit durch standardisierte Dokumentation von quasi-statischen und zyklischen Versuchen additiv gefertigter Strukturen. Grundlagen und Beispiele zur Digitalisierung für die Materialforschung und -prüfung, Berlin, Germany, 2020
12.
Schick, S.; Schröder, M.; Meuser, A.; Krüger, F.; Spors, S.:
Data Management Planning in Large Collaborative Research Consorita. Progress in Electrically Active Implants - Tissue and Functional Regeneration (ELAINE 2020), Rostock, Germany, 2020
doi:10.18453/rosdok_id00002752
13.
Spors, S.; Schultz, F.; Erbes, V.; Schröder, M.:
Concept and Realization of Open Educational Resources using Jupyter. German Annual Conference on Acoustics (DAGA), Hannover, Germany, 2020
14.
Schröder, M.; Raben, H.; Krüger, F.; Ruscheinski, A.; van Rienen, U.; Uhrmacher, A. M.; Spors, S.:
PROVenance Patterns in Numerical Modelling and Finite Element Simulation Processes of Bio-electric Systems. 41st International Engineering in Medicine and Biology Conference (EMBC), Berlin, Germany, 2019
doi:10.1109/embc.2019.8856841
15.
Budde, K.; Zimmermann, J.; Neuhaus, E.; Schröder, M.; Uhrmacher, A. M.; van Rienen, U.:
Requirements for Documenting Electrical Cell Stimulation Experiments for Replicability and Numerical Modeling. 41st International Engineering in Medicine and Biology Conference (EMBC), pp. 1082-108, Berlin, Germany, 2019
doi:10.1109/embc.2019.8856863
16.
Schröder, M.; Waltemath, D.; Krüger, F.; Spors, S.:
Standardizing Electronic Laboratory Notebooks to improve their integration with data from the biomedical domain. 10th "Computational Modeling in Biology Network" (COMBINE) Meeting, Heidelberg, Germany, 2019
17.
Schröder, M.; Krüger, F.; Zepf, R.; van Rienen, U.; Spors, S.:
A Comprehensive Approach to Support Research Processes in the CRC 1270 ELAINE. WissKom2019, Jülich, Germany, 2019
18.
Schröder, M.; Krüger, F.; Spors, S.:
Reproducible Research is more than Publishing Research Artefacts: A Systematic Analysis of Jupyter Notebooks from Research Articles. German Annual Conference on Acoustics (DAGA), pp. 323-326, Rostock, Germany, 2019
19.
Moya Rueda, F.; Lüdtke, S.; Schröder, M.; Yordanova, K.; Kirste, T.; Fink, G. A.:
Combining Symbolic Reasoning and Deep Learning for Human Activity Recognition. 15th Workshop on Context Modeling and Recognition (CoMoRea'19), pp. 22-27, Kyoto, Japan, 2019
ISBN: 978-1-5386-9151-9/19
20.
Lüdtke, S.; Schröder, M.; Bader, S.; Kersting, K.; Kirste, T.:
Lifted Filtering via Exchangeable Decomposition. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), pp. 5067-5073, Stockholm, Sweden, 2018
doi:10.24963/ijcai.2018/703
21.
Schröder, M.; Lüdtke, S.; Bader, S.; Krüger, F.; Kirste, T.:
LiMa: Sequential Lifted Marginal Filtering on Multiset State Descriptions. Proceedings of the 40th German Conference on Artificial Intelligence (KI), Dortmund, 2017
22.
Lüdtke, S.; Schröder, M.; Krüger, F.; Kirste, T.:
Where are my colleagues? Tracking and Counting Multiple Persons using Lifted Marginal Filtering. Proceedings of the 4th international Workshop on Sensor-based Activity Recognition and Interaction (IWoar), Rostock, 2017
doi:10.1145/3134230.3134237
23.
Schröder, M.; Lüdtke, S.; Bader, S.; Krüger, F.; Kirste, T.:
Sequential Lifted Bayesian Filtering in Multiset Rewriting Systems. 7th International Workshop on Statistical Relational AI (StarAI 2017), Sydney, Australia, 2017
24.
Schröder, M.; Lüdtke, S.; Bader, S.; Krüger, F.; Kirste, T.:
Abstracting from Observation-equivalent Entities in Human Behavior Modeling. AAAI Workshop: Plan, Activity, and Intent Recognition, 2017
25.
Schröder, M.; Yordanova, K.; Bader, S.; Kirste, T.:
Tool support for the online annotation of sensor data. Proceedings of the 3rd International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR'16), 2016
doi:10.1145/2948963.2948972
26.
Schröder, M.; Bader, S.; Bieber, G.; Kirste, T.:
IT-basiertes Aktivitätsmanagement in der individualisierten stationären Betreuung von Menschen mit Demenz. Zukunft Lebensräume - Gesundheit, Selbstständigkeit und Komfort im demografischen Wandel Konzepte und Technologien für die Wohnungs-, Immobilien-, Gesundheits- und Pflegewirtschaft, 2016
27.
Schröder, M.; Bader, S.; Krüger, F.; Kirste, T.:
Reconstruction of Everyday Life Behaviour based on Noisy Sensor Data. Proceedings of the 8th International Conference on Agents and Artificial Intelligence, pp. 430-437, Rome, Italy, 2016
doi:10.5220/0005756804300437

Miscellaneous:

28.
Schröder, M.; Raben, H.; Krüger, F.; Ruscheinski, A.; van Rienen, U.; Uhrmacher, A. M.; Spors, S.:
SFB-ELAINE/PROV-Bio-electric-Systems: Version 1.0, Zenodo, 4/2019
doi:10.5281/zenodo.2650138
29.
Krüger, F.; Schröder, M.:
Forschungsdatenmanagement im Sonderforschungsbereich ELAINE, 11/2018
doi:10.5281/zenodo.1744974
30.
Schröder, M.; Lüdtke, S.; Bader, S.; Krüger, F.; Kirste, T.:
An Office Scenario Dataset for Benchmarking Observation-equivalent Entities, University Library, University of Rostock, 12/2016
doi:10.18453/rosdok_id00000138

Poster:

31.
Schröder, M.; Krüger, F.; Spors, S.:
Poster: Reproducible Research is more than Publishing Research Artefacts - A Systematic Analysis of Jupyter Notebooks from Research Articles, Zenodo, 3/2019
doi:10.5281/zenodo.2593549