Jakob Andersen

Department Informatik
Wissenschaftlicher Mitarbeiter

Berliner Tor 7
20099 Hamburg

jakob.andersen@haw-hamburg.de

Tätigkeiten

Lehrgebiete/Lehrfächer

Maschinelles Lernen

Big Data

Schwerpunktthemen/Kernkompetenzen

Forschungsprojekte:

Ämter/Gremien/Mitgliedschaften

Mitgliedschaften:

  • Association for Computational Linguistics (ACL)

Publikationen

  • Andersen, J. S., Zukunft, O., Maalej, W. (2021). REM: Efficient Semi-Automated Real-Time Moderation of Online Forums. In Proceedings of the Software Demonstrations of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP) (to appear).
  • Haering, M., Andersen, J. S., Biemann, C., Loosen, W., Milde, B., Pietz, T., Stoecker, C., Wiedemann, G., Zukunft, O., Maalej, W. (2021). Forum 4.0: An Open-Source User Comment Analysis Framework. In Proceedings of the Software Demonstrations of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL) (pp. 63-70).
  • Andersen, J. S., Schöner, T., & Maalej, W. (2020). Word-Level Uncertainty Estimation for Black-Box Text Classifiers using RNNs. In Proceedings of the 28th International Conference on Computational Linguistics (COLING) (pp. 5541-5546).
  • Tropmann-Frick, M., & Andersen, J. S. (2019). Towards Visual Data Science-An Exploration. In Proceedings of the International Conference on Human Interaction and Emerging Technologies (IHIET) (pp. 371-377). Springer
  • Andersen, J. S. (2019). A User Centric Visual Analytics Framework for News Discussions. In Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference.
  • Andersen, J. S., & Zukunft, O. (2016). Semi-clustering that scales: an empirical evaluation of GraphX. In 2016 IEEE International Congress on Big Data (BigData Congress) (pp. 333-336). IEEE.
  • Andersen, J. S., & Zukunft, O. (2016). Evaluating the scaling of graph-algorithms for big data using graphx. In 2016 2nd International Conference on Open and Big Data (OBD) (pp. 1-8). IEEE.
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