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Dr.-Ing. Frank Krüger

Frank Krüger
Tel.
0381/498-7339
Fax
0381/498-7302
Raum
W: 8.205

Zur Person

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

Curriculum Vitae

  • 2000 - 2006 Diploma in Computer Science, University of Rostock, Rostock
  • 2006 - 2009 Software Developer, FORTecH Software, Rostock
  • 2009 - 2016 Researcher for Model Based Activity Recognition, MMIS
  • 2016 PhD in Computer Science, University of Rostock, Rostock
  • 2016 - 2017 Postdoctoral Researcher for Sensor Data based Behaviour Analysis, MMIS, University of Rostock, Rostock
  • since 2017 Postdoctoral Researcher for Research Data Management in CRC ELAINE, University of Rostock, Rostock

Research Interests

  • Research Data Management
  • Data Mining and Analysis
  • Artificial Intelligence
  • Assistive Technologies
  • Ubiquitous Computing

Publications

Zeitschriftenartikel:

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, Bd. 13 (1/2022)
doi:10.1186/s13326-021-00257-x
2.
Schindler, D.; Bensmann, F.; Dietze, S.; Krüger, F.:
The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central. In: PeerJ Computer Science, Bd. 8 (1/2022)
doi:10.7717/peerj-cs.835
3.
Gierend, K.; Krüger, F.; Waltemath, D.; Fünfgeld, M.; Zeleke, A. A.; Ganslandt, T.:
Approaches and Criteria for Provenance in Biomedical Data Sets and Workflows: a Scoping Review Protocol. In: JMIR Research Protocols (9/2021)
doi:10.2196/31750
4.
Schröder, M.; LeBlanc, H.; Spors, S.; Krüger, F.:
Intra-consortia Data Sharing Platforms for Interdisciplinary Collaborative Research Projects. In: Information Technology, Bd. 62, Nr. 1 (2/2020), S. 19-28
doi:10.1515/itit-2019-0039
5.
Krüger, F.; Schindler, D.:
A Literature Review on Methods for the Extraction of Usage Statements of Software and Data. In: Computing in Science & Engineering, Bd. 22, Nr. 1 (1/2020), S. 26-38
doi:10.1109/MCSE.2019.2943847
6.
Goerss, D.; Hein, A.; Bader, S.; Halek, M.; Kernebeck, S.; Kutschke, A.; Heine, C.; Krüger, F.; Kirste, T.; Teipel, S.:
Automated sensor-based detection of challenging behaviors in advanced stages of dementia in nursing homes. In: Alzheimer's & Dementia (10/2019)
doi:10.1016/j.jalz.2019.08.193
7.
Yordanova, K.; Lüdtke, S.; Whitehouse, S.; Krüger, F.; Paiement, A.; Mirmehdi, M.; Craddock, I.; Kirste, T.:
Analysing Cooking Behaviour in Home Settings: Towards Health Monitoring. In: Sensors, Bd. 19, Nr. 3 (2/2019), S. 646
doi:10.3390/s19030646
8.
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, Bd. 63 (12/2018), S. 789-848
doi:10.1613/jair.1.11261
9.
Winter, F.; Wierstorf, H.; Hold, C.; Krüger, F.; Raake, A.; Spors, S.:
Colouration in Local Wave Field Synthesis. In: IEEE Transactions on Audio, Speech, and Language Processing, Bd. 26, Nr. 10 (10/2018), S. 1913-1924
ISSN: 2329-9290, doi:10.1109/TASLP.2018.2842435
10.
Yordanova, K.; Krüger, F.:
Creating and Exploring Semantic Annotation for Behaviour Analysis. In: Sensors, Bd. 18, Nr. 9 (8/2018)
doi:10.3390/s18092778
11.
Teipel, S.; König, A.; Hoey, J.; Kaye, J.; Krüger, F.; Robillard, J. M.; Kirste, T.; Babiloni, C.:
Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia. In: Alzheimer's & Dementia (6/2018)
doi:10.1016/j.jalz.2018.05.003
12.
Henf, J.; Krüger, F.; Hein, A.; Halek, M.; Heine, C.; Bader, S.; Kirste, T.; Teipel, S.:
Using Video Annotation to Detect Challenging Behaviors in People in Advanced Stages of Dementia: The InsideDEM Study. In: Alzheimer's & Dementia, Bd. 13, Nr. 7 (7/2017), S. P1414-P1415
doi:10.1016/j.jalz.2017.06.2195
13.
Hein, A.; Kirste, T.; Krüger, F.:
Da tut sich was: Von Sensordaten zur erkannten Aktivität in wenigen Schritten. In: Javamagazin, Nr. 2 (2/2017)
14.
Teipel, S.; Heine, C.; Hein, A.; Krüger, F.; Kutschke, A.; Kernebeck, S.; Halek, M.; Bader, S.; Kirste, T.:
Feasibility of a multidimensional assessment of challenging behavior in advanced stages of dementia in the naturalistic environment of nursing homes - the insideDEM framework. In: Alzheimer's & Dementia, Diagnosis, Assessment & Disease Monitoring, Bd. 8 (2017), S. 36-44
doi:10.1016/j.dadm.2017.03.006
15.
Yue, S.; Yordanova, K.; Krüger, F.; Kirste, T.; Zha, Y.:
A Decentralized Partially Observable Decision Model for Recognizing the Multiagent Goal in Simulation Systems. In: Discrete Dynamics in Nature and Society, Bd. 2016 (2016), S. 1-15
doi:10.1155/2016/5323121
Article ID 5323121
16.
Nyolt, M.; Krüger, F.; Yordanova, K.; Hein, A.; Kirste, T.:
Marginal filtering in large state spaces. In: International Journal of Approximate Reasoning, Bd. 61 (6/2015), S. 16-32
doi:10.1016/j.ijar.2015.04.003
17.
Krüger, F.; Nyolt, M.; Yordanova, K.; Hein, A.; Kirste, T.:
Computational State Space Models for Activity and Intention Recognition. A Feasibility Study. In: PLOS ONE, Bd. 9, Nr. 11 (11/2014), S. e109381
doi:10.1371/journal.pone.0109381
18.
Krüger, F.; Yordanova, K.; Burghardt, C.; Kirste, T.:
Towards Creating Assistive Software by Employing Human Behavior Models. In: Journal of Ambient Intelligence and Smart Environments, Bd. 4, Nr. 3 (5/2012), S. 209-226
doi:10.3233/AIS-2012-0148
19.
Krüger, F.; Ruscher, G.; Bader, S.; Kirste, T.:
A Context-Aware proactive Controller for Smart Environments (Extended Version). In: I-COM, Bd. 10, Nr. 1 (4/2011), S. 41-48
doi:10.1524/icom.2011.0007

Buchbeiträge:

20.
Dilling, H.; Krüger, F.:
Ritual, Emotion, and Materiality in the Early Christian World. Kap. Water rites as structuring Elements in ancient Meals. An Examination of the Footwashing in John 12 and 13, S. 19, Routledge, 2021

Beiträge zu Sammlungen:

21.
Al-Suadi, S.; Krüger, F.:
Redaktionskritik reconsidered. Al-Suadi, S.; Ulshöfer, G. (Hrsg.): Biblical Texts in Digitalization., Tübingen University Press, 2021
doi:10.15496/publikation-48536
22.
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
23.
Schindler, D.; Zapilko, B.; Krüger, F.:
Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach. The Semantic Web. Nr. 12123, S. 271-286, Heraklion, Greece, Springer International Publishing, 2020
ISBN: 978-3-030-49461-2, doi:10.1007/978-3-030-49461-2_16
24.
Hein, A.; Krüger, F.; Yordanova, K.; Kirste, T.:
Towards causally correct annotation for activity recognition. WOAR 2014: Workshop on Sensor-based Activity Recognition. S. 31-38, Stuttgart, Fraunhofer-Verlag, 2014
ISBN: 978-3-8396-0792-3

Konferenzbeiträge:

25.
Krüger, C.; Krüger, F.; Spors, S.:
Automatic Classification of Cavitation States using Hydroacoustic Measurements. German Annual Conference on Acoustics (DAGA), Stuttgart, Germany, 2022
26.
Schindler, D.; Bensmann, F.; Dietze, S.; Krüger, F.:
SoMeSci - A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles. Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM '21), Virtual Event, QLD, Australia, 2021
27.
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
28.
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
29.
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
30.
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
31.
Boland, K.; Krüger, F.:
Distant supervision for silver label generation of software mentions in social scientific publications. Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, 2019
32.
Schröder, M.; Raben, H.; Krüger, F.; Ruscheinski, A.; van Rienen, U.; Uhrmacher, A.; 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
33.
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
34.
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
35.
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), S. 323-326, Rostock, Germany, 2019
36.
Schindler, D.; Yordanova, K.; Krüger, F.:
An annotation scheme for references to research artefacts in scientific publications. Proceedings of the 3rd International Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS'19), Kyoto, Japan, 2019
37.
Warnke, T.; Krüger, F.; Uhrmacher, A.:
Open Simulation Software - Development and Application. Proceedings of ASIM - 24th Symposium Simulationstechnik, 2018
38.
Yordanova, K.; Krüger, F.; Kirste, T.:
Providing Semantic Annotation for the CMU Grand Challenge Dataset. Proceedings of the 2nd International Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS'18), Athens, Greece, 2018
39.
Yordanova, K.; Bader, S.; Weschke, S.; Krüger, F.; Henf, J.; Teipel, S.; Kirste, T.:
Discovery of Causal Relations in the Challenging Behaviour of People with Dementia. IEEE International Conference on Pervasive Computing and Communications WIP Proceedings, Athens, Greece, 2018
40.
Krüger, F.; Bader, S.; Hein, A.; Kirste, T.:
A Virtual Research Environment to Support Remote Behaviour Monitoring from Data Collection to Analysis. Proceedings of the 1st Workshop on Data mining for Aging, Rehabilitation and Independent Assisted Living (ARIAL) @ICDM, New Orleans, USA, 2017
41.
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
42.
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
43.
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
44.
Henf, J.; Krüger, F.; Hein, A.; Halek, M.; Heine, C.; Bader, S.; Kirste, T.; Teipel, S.:
Using Video Annotation to Detect Challenging Behaviors in People in Advanced Stages of Dementia - the InsideDEM Study. Poster at the Alzheimer's Association International Conference, London, England, 2017
45.
Hein, A.; Krüger, F.; Bader, S.; Eschholz, P.; Kirste, T.:
Challenges of Collecting Empirical Sensor Data from People with Dementia in a Field Study. IEEE International Conference on Pervasive Computing and Communications WIP Proceedings, 2017
46.
Krüger, F.; Heine, C.; Bader, S.; Hein, A.; Teipel, S.; Kirste, T.:
On the Applicability of Clinical Observation Tools for Human Activity Annotation. Proceedings of the 1st International Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS'17), Kona, Hawaii, USA, 2017
47.
Lüdtke, S.; Hein, A.; Krüger, F.; Bader, S.; Kirste, T.:
Actigraphic Sleep Detection for Real-World Data of Healthy Young Adults and People with Alzheimer's Disease. Proceedings of BIOSIGNALS 2017, Porto, Portugal, 2017
48.
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
49.
Loseries, W.; Reinholz, H.; Kirste, T.; Krüger, F.; Schennigcke, B.; Sucharowski, W.; von Oeynhausen, V.:
Von der Lernumgebung zum forschungsbasierten Lehr-Lern-Prozess. GDCP-Jahrestagung, Zürich, 2016
50.
Bader, S.; Krüger, F.; Hein, A.; Yordanova, K.; Kirste, T.:
Automatische Erkennung herausfordernden Verhaltens von Menschen mit Demenz und Identifikation von Interventionsstrategien. Zukunft Lebensräume - Gesundheit, Selbstständigkeit und Komfort im demografischen Wandel; Konzepte und Technologien für die Wohnungs-, Immobilien-, Gesundheits- und Pflegewirtschaft, Frankfurt am Main, 2016
51.
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, S. 430-437, Rome, Italy, 2016
doi:10.5220/0005756804300437
52.
Heine, C.; Koldrack, P.; Yordanova, K.; Bader, S.; Krüger, F.; Hein, A.; Kernebeck, S.; Halek, M.; Kirste, T.; Teipel, S.:
Erfassung von herausforderndem Verhalten von Menschen mit Demenz in einem Seniorenheim als Grundlage zur Entwicklung einer technisch unterstützten Diagnose- und Entscheidungshilfe für pflegende Angehörige., Berlin, 2016
53.
Röhlig, M.; Luboschik, M.; Krüger, F.; Kirste, T.; Schumann, H.; Bögl, M.; Alsallakh, B.; Miksch, S.:
Supporting Activity Recognition by Visual Analytics. IEEE Conference on Visual Analytics Science and Technology (VAST), S. 41-48, Chicago, Illinois, USA, 2015
54.
Bader, S.; Krüger, F.; Kirste, T.:
Computational Causal Behaviour Models for Assisted Manufacturing. Proc. of 2nd International Workshop on Sensor-based Activity Recognition and Interaction (IWOAR'15), Rostock, Germany, 2015
ISBN: 978-1-4503-3454-9, doi:10.1145/2790044.2790058
55.
Koldrack, P.; Henkel, R.; Krüger, F.; Teipel, S.; Kirste, T.:
Supporting Situation Awareness of Dementia Patients in Outdoor Environments. 9th International Conference on Pervasive Computing Technologies for Healthcare, S. 245-248, Istanbul, Turkey, 2015
ISBN: 978-1-63190-045-7, doi:10.4108/icst.pervasivehealth.2015.259288
56.
Krüger, F.; Kasparick, M.; Mundt, T.; Kirste, T.:
Where are my colleagues and why? Tracking multiple persons in indoor environments. Proceedings of the 10th International Conference on Intelligent Environments, Shanghai, China, 2014
doi:10.1109/IE.2014.35
57.
Aehnelt, M.; Bader, S.; Ruscher, G.; Krüger, F.; Urban, B.; Kirste, T.:
Situation Aware Interaction with Multi-modal Business Applications in Smart Environments. Proceedings of the 15th International Conference on Human-Computer Interaction (HCII 2013), S. 413-422, Las Vegas, NV, USA, 2013
ISBN: 978-3-642-39225-2, doi:10.1007/978-3-642-39226-9_45
58.
Krüger, F.; Yordanova, K.; Hein, A.; Kirste, T.:
Plan Synthesis for Probabilistic Activity Recognition. Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013), S. 283-288, Barcelona, Spain, 2013
doi:10.5220/0004256002830288
59.
Steiniger, A.; Krüger, F.; Uhrmacher, A.:
Modeling Agents and their Environment in Multi-Level-DEVS. Proc. of the 2012 Winter Simulation Conference, S. 233:1-12, Berlin, Germany, 2012
60.
Krüger, F.; Yordanova, K.; Kirste, T.:
Tool Support for Probabilistic Intention Recognition using Plan Synthesis. Proceedings of the 3rd international joint conference on Ambient Intelligence, S. 439-444, Pisa, Italy, 2012
doi:10.1007/978-3-642-34898-3_40
61.
Mundt, T.; Krüger, F.; Wollenberg, T.:
Who refuses to wash hands? Privacy issues in modern house installation networks. Proceedings of the 7th international Conference on Broadband and Wireless Computing, Communication and Applications, S. 271-277, Victoria, Canada, 2012
62.
Yordanova, K.; Krüger, F.; Kirste, T.:
Strategies for Modelling Human Behaviour for Activity Recognition with Precondition-Effect Rules. Proceedings of the 35th German Conference on Artificial Intelligence, S. 257-261, Saarbrücken, Germany, 2012
63.
Yordanova, K.; Krüger, F.; Kirste, T.:
Tool Support for Activity Recognition with Computational Causal Behaviour Models. Proceedings of the 35th German Conference on Artificial Intelligence, S. 561-573, Saarbrücken, Germany, 2012
64.
Krüger, F.; Steiniger, A.; Bader, S.; Kirste, T.:
Evaluating the Robustness of Activity Recognition using Computational Causal Behavior Models. Proceedings of the International Workshop on Situation, Activity and Goal Awareness held at Ubicomp 2012, S. 1066-1074, Pittsburgh, PA, USA, 2012
doi:10.1145/2370216.2370443
65.
Krüger, F.; Yordanova, K.; Köppen, V.; Kirste, T.:
Towards Tool Support for Computational Causal Behavior Models for Activity Recognition. Proceedings of the 1st Workshop: "Situation-Aware Assistant Systems Engineering: Requirements, Methods, and Challenges" (SeASE 2012) held at Informatik 2012, S. 561-572, Braunschweig, Germany, 2012
66.
Yordanova, K.; Krüger, F.; Kirste, T.:
Context Aware Approach for Activity Recognition Based-on Precondition-Effect Rules. 9th IEEE Workshop on Context Modeling and Reasoning (CoMoRea'12) at the 10th IEEE International Conference on Pervasive Computing and Communication (PerCom'12, S. 602-607, Lugano, Switzerland, 2012
67.
Krüger, F.; Kirste, T.:
Synthesizing Sequential Bayesian Filters for Plan and Activity Recognition from extended Precondition-Effect Rules. Adjunct proceedings of the 2nd international joint conference on Ambient Intelligence, S. 1-2, Amsterdam, Netherlands, 2011
68.
Krüger, F.; Ruscher, G.; Bader, S.; Kirste, T.:
A Context-Aware proactive Controller for Smart Environments. Proceedings of the 2nd Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS 2011), Palo Alto, CA, USA, 2011
69.
Ruscher, G.; Krüger, F.; Bader, S.; Kirste, T.:
Controlling Smart Environments using a Brain Computer Interface. Proceedings of the 2nd Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS 2011), Palo Alto, CA, USA, 2011
70.
Krüger, F.; Kirste, T.:
A bayesian filter framework for dual use. 3rd International Conference of the ERCIM WG on Computing & Statistics (ERCIM'10), S. 283-283, London, England, 2010

Dissertationen:

71.
Krüger, F.:
Activity, Context and Intention Recognition with Computational Causal Behavior Models. Universität Rostock, 2016

Forschungsberichte:

72.
Krüger, F.; Spors, S.:
A questionnaire to estimate the needs for research data management. Institute of Communications Engineering, University of Rostock, 2018
73.
Kirste, T.; Krüger, F.:
CCBM - A tool for activity recognition using Computational Causal Behavior Models. Universität Rostock, 2012

Verschiedene:

74.
Schröder, M.; Raben, H.; Krüger, F.; Ruscheinski, A.; van Rienen, U.; Uhrmacher, A.; Spors, S.:
SFB-ELAINE/PROV-Bio-electric-Systems: Version 1.0, Zenodo, 4/2019
doi:10.5281/zenodo.2650138
75.
Krüger, F.; Schröder, M.:
Forschungsdatenmanagement im Sonderforschungsbereich ELAINE, 11/2018
doi:10.5281/zenodo.1744974
76.
Yordanova, K.; Krüger, F.; Kirste, T.:
Semantic Annotation for the CMU-MMAC Dataset, University Library, University of Rostock, 1/2018
doi:10.18453/rosdok_id00000163
77.
Yordanova, K.; Krüger, F.; Kirste, T.:
Semantic Annotation for the CMU-MMAC Dataset (Version 2), Universität Rostock, 2018
doi:10.18453/rosdok_id00002273
78.
Krüger, F.; Hein, A.; Yordanova, K.; Kirste, T.:
Recognising the Actions during Cooking Task (Cooking Task Dataset) - IMU Data, University Library, University of Rostock, 2017
79.
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
80.
Kasparick, M.; Krüger, F.:
Probabilistic action selection - Tracking multiple persons in indoor environments, University Library, University of Rostock, 8/2015
81.
Krüger, F.; Hein, A.; Yordanova, K.; Kirste, T.:
Recognising the Actions during Cooking Task (Cooking Task Dataset), University Library, University of Rostock, 2015

Poster:

82.
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