Marcus Thiel

M.Sc. Marcus Thiel

Otto von Guericke University Magdeburg
Faculty of Computer Science
Institut für Technische und Betriebliche Informationssysteme (ITI)
Gebäude 29, Universitätsplatz 2, 39106, Magdeburg, G29-115
Research

Research interests:

  • Text and network analysis
  • Semantic Annotation of search results and texts
  • Exploration of fictional texts/works

Current projects:

  • Domain-Specific Indexing, Searching and Exploring Documents in the Case of Fiction

Previous projects:

  • Creation of methods for the rating of innovation with the EFB and METOP
  • Development of a research tool in cooperation with Volkswagen
  • Development of an exploration interface for huge image collections in cooperation with Fink und Partner

Vita

04/2015 Research assistant at the Data and Knowledge Engineering Group
02/2015 Master's thesis "Feasibility study on the applicability of hidden non-markovian models in the area NIALM"
10/2012 Start of studies in Data and Knowledge Engineering (Master) at the Otto von Guericke University Magdeburg
09/2012 Bachelor's thesis "Development of a simulator for solving planning problems"
10/2009 Start of studies in Computer Science (Bachelor) at the Technical University of Berlin
Publications

2018

Begutachteter Zeitschriftenartikel

Krull, Claudia;  Thiel, Marcus;  Horton, Graham 

Testing applicability of virtual stochastic sensors for non-intrusive appliance load monitoring
In: Electronic notes in theoretical computer science: ENTCS - Amsterdam [u.a.]: Elsevier Science, Bd. 337.2018, S. 119-134

2017

Buchbeitrag

Schröter, Ivonne;  Krüger, Jacob;  Ludwig, Philipp;  Thiel, Marcus;  Nürnberger, Andreas;  Leich, Thomas 

Identifying innovative documents - quo vadis?
In: Proceedings of the 19th International Conference on Enterprise Information Systems, Volume 1: April 26 - 29, 2017, Porto, Portugal - SCITEPRESS, S. 653-658

Krull, Claudia;  Thiel, Marcus;  Horton, Graham 

Testing applicability of virtual stochastic sensors for non-intrusive appliance load monitoring
In: Ninth International Workshop on Practical Applications of Stochastic Modelling, PASM\'17: 9th September 2017, Berlin, Germany : collocated with QONFEST 2017 - Berlin, insges. 15 S. ; [Beitrag auf USB-Stick]

Ludwig, Philipp;  Thiel, Marcus;  Nürnberger, Andreas 

Unsupervised extraction of conceptual keyphrases from abstracts
In: Semantic Keyword-Based Search on Structured Data Sources - Cham: Springer, S. 37-48, 2017 - (Lecture Notes in Computer Science; 10151)

Thiel, Marcus;  Ludwig, Philipp;  Mossakowski, Till;  Neuhaus, Fabian;  Nürnberger, Andreas 

Web-retrieval supported argument space exploration
In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval: Oslo, Norway, March 07 - 11, 2017 - New York, NY: ACM, Association for Computing Machinery, S. 309-312

2015

Buchbeitrag

Kotzyba, Michael;  Ponomaryov, Denis;  Low, Thomas;  Thiel, Marcus;  Glimm, Birte;  Nürnberger, Andreas 

Ontology-supported exploratory search for physical training exercises
In: CEUR workshop proceedings - Aachen: RWTH, Bd. 1486.2015, insges. 4 S.

Teaching

Winter Term 2018/2019

Machine Learning (Exercise)
Machine Learning for Medical Systems (Seminar)

Summer Term 2018

Advanced Topics in Machine Learning (Exercise)

Winter Term 2017/2018

Machine Learning (Exercise)
Machine Learning for Medical Systems (Seminar)

Summer Term 2017

Advanced Topics in Machine Learning (Exercise)

Winter Term 2016/2017

Machine Learning (Exercise)
Machine Learning for Medical Systems (Seminar)

Summer Term 2016

Advanced Topics in Machine Learning (Exercise)

Winter Term 2015/2016

Machine Learning (Exercise)
Machine Learning for Medical Systems (Seminar)

Last Modification: 28.09.2018 - Contact Person:

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