Marcus Thiel
M.Sc. Marcus Thiel
Faculty of Computer Science
Institut für Technische und Betriebliche Informationssysteme (ITI)
Research Areas:
- 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 |
2023
Book chapter
Digitalisierung in der Kinder- und Jugendhilfe
Steckel, Mirko; Auchter, Roman; Bernig, Christoph; Eschwege, Kerstin; Lorenz, Lisa; Nürnberger, Andreas; Thiel, Marcus
In: Digitalisierung der Arbeitswelt im Mittelstand 3 , 1st ed. 2023. - Berlin, Heidelberg : Springer Berlin Heidelberg ; Nitsch, Verena, S. 403-427
FACADE: Fake Articles Classification and Decision Explanation
Purificato, Erasmo; Shahania, Saijal; Thiel, Marcus; De Luca, Ernesto William
In: Advances in Information Retrieval , 1st ed. 2023. - Cham : Springer Nature Switzerland ; Kamps, Jaap, S. 294-299 - (Lecture Notes in Computer Science; volume 13982)
2021
Book chapter
IRTEX: Image Retrieval with Textual Explanations
Gupta, Tarun; Kutty, Libin; Gahir, Ritu; Ukwu, Nnamdi; Polley, Sayantan; Thiel, Marcus
In: 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS) / IEEE International Conference on Human-Machine Systems , 2021 - IEEE : IEEE, insges. 4 S. [Konferenz: IEEE 2nd International Conference on Human-Machine Systems, ICHMS, Magdeburg, Germany, 8-10 September 2021]
Evaluating reliability in explainable search
Dey, Aditya; Radhakrishna, Chandan; Lima, Nishitha Nancy; Shashidhar, Suraj; Polley, Sayantan; Thiel, Marcus; Nürnberger, Andreas
In: 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS) / IEEE International Conference on Human-Machine Systems , 2021 - IEEE : IEEE, insges. 4 S. [Konferenz: IEEE 2nd International Conference on Human-Machine Systems, ICHMS, Magdeburg, Germany, 8-10 September 2021]
Article in conference proceedings
ExDocS - evidence based explainable document search
Polley, Sayantan; Janki, Atin; Thiel, Marcus; Hoebel-Mueller, Juliane; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021, insges. 8 S. [Konferenz: SIGIR Workshop: Causality in Search and Recommendation '21, online, July 2021]
2020
Book chapter
SIMFIC - an explainable book search companion
Polley, Sayantan; Ghosh, Suhita; Thiel, Marcus; Kotzyba, Michael; Nürnberger, Andreas
In: Proceedings of the 2020 IEEE International Conference on Human-Machine Systems (ICHMS) , 2020 - [Piscataway, NJ] : IEEE ; Fortino, Giancarlo [Konferenz: 2020 IEEE International Conference on Human-Machine Systems (ICHMS), Rome, 7.-9. September 2020]
2018
Peer-reviewed journal article
Testing applicability of virtual stochastic sensors for non-intrusive appliance load monitoring
Krull, Claudia; Thiel, Marcus; Horton, Graham
In: Electronic notes in theoretical computer science - Amsterdam [u.a.] : Elsevier Science, Bd. 337 (2018), S. 119-134
2017
Book chapter
Identifying innovative documents - quo vadis?
Schröter, Ivonne; Krüger, Jacob; Ludwig, Philipp; Thiel, Marcus; Nürnberger, Andreas; Leich, Thomas
In: Proceedings of the 19th International Conference on Enterprise Information Systems, Volume 1 / Institute for Systems and Technologies of Information, Control and Communication - SCITEPRESS ; Hammoudi, Slimane . - 2017, S. 653-658 [Konferenz: 19th International Conference on Enterprise Information Systems, ICEIS 2017, Porto, Portugal, April 26 - 29, 2017]
Unsupervised extraction of conceptual keyphrases from abstracts
Ludwig, Philipp; Thiel, Marcus; Nürnberger, Andreas
In: Semantic Keyword-Based Search on Structured Data Sources - Cham : Springer . - 2017, S. 37-48 - (Lecture Notes in Computer Science; 10151) [Kongress: 2nd International KEYSTONE Conference, IKC 2016, Cluj-Napoca, Romania, 8 - 9 September 2016]
Web-retrieval supported argument space exploration
Thiel, Marcus; Ludwig, Philipp; Mossakowski, Till; Neuhaus, Fabian; Nürnberger, Andreas
In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval - New York, NY : ACM, Association for Computing Machinery, S. 309-312 [Kongress: 2017 Conference on Conference Human Information Interaction and Retrieval : Oslo, Norway, March 07 - 11, 2017]
Article in conference proceedings
Testing applicability of virtual stochastic sensors for non-intrusive appliance load monitoring
Krull, Claudia; Thiel, Marcus; Horton, Graham
In: Ninth International Workshop on Practical Applications of Stochastic Modelling, PASM'17 - Berlin . - 2017, insges. 15 S.
2015
Book chapter
Ontology-supported exploratory search for physical training exercises
Kotzyba, Michael; Ponomaryov, Denis; Low, Thomas; Thiel, Marcus; Glimm, Birte; Nürnberger, Andreas
In: CEUR workshop proceedings - Aachen, Germany : RWTH Aachen, Bd. 1486 (2015), insges. 4 S. Kongress: ISWC-P&D 2015 Bethlehem, PA, USA 2015.10.01
Winter Term 2019/2020
- Machine Learning (Exercise)
Summer Term 2019
- Advanced Topics in Machine Learning (Exercise)
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)