Institute of Information Systems
Organisational unit: Institute
- Professorship for Computer Engineering
- Professorship for Information Systems, in particular Artificial Intelligence and Explainability
- Professorship for Information Systems, in particular Data Science
- Professorship for Information Systems, in particular Digital Transformation and Information Management
- Professorship for Information Systems, in particular E-Business and Knowledge Management
- Professorship for Information Systems, in particular Machine Learning
- Professorship for Information Systems, in particular Network Science
- 2019
- Published
Einen gemeinsamen Code finden
van Deest, J. & Gegenhuber, T., 09.2019, In: DUZ Wissenschaft & Management. 9, p. 38-43 6 p.Research output: Journal contributions › Journal articles › Research
- Published
Personalized Transaction Kernels for Recommendation Using MCTS
Tavakol, M., Joppen, T., Brefeld, U. & Fürnkranz, J., 01.09.2019, KI 2019: Advances in Artificial Intelligence - 42nd German Conference on AI, Proceedings. Benzmüller, C. & Stuckenschmidt, H. (eds.). Wiesbaden: Springer, p. 338-352 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11793 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Enabling Road Condition Monitoring with an on-board Vehicle Sensor Setup
Kortmann, F., Peitzmeier, H., Meier, N., Heger, J. & Drews, P., 10.2019, 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings: Conference proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 4 p. 8956699. (Proceedings of IEEE Sensors; vol. 2019-October).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Zur empirischen Beforschung des mBooks Belgien: Die Chancen eines Methodenmix
Schreiber, W., Wagner, W., Trautwein, U. & Brefeld, U., 10.2019, Das Geschichtsschulbuch: Lehren – Lernen – Forschen . Kühberger, C., Bernhard, R. & Bramann, C. (eds.). Münster: Waxmann Verlag, p. 57-80 24 p. (Salzburger Beiträge zur Lehrer/innen/bildung; vol. 6).Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review
- Published
Optimizing eating disorder treatment outcomes for individuals identified via screening: An idea worth researching
Taylor, C. B., Graham, A. K., Fitzsimmons-Craft, E. E., Sadeh-Sharvit, S., Balantekin, K. N., Flatt, R. E., Goel, N. J., Monterubio, G. E., Topooco, N., Karam, A. M., Firebaugh, M-L., Ruzek, J. I., Funk, B., Oldenburg, B., Wilfley, D. E. & Jacobi, C., 01.11.2019, In: The International journal of eating disorders. 52, 11, p. 1224-1228 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
From simulation to real-world robotic mobile fulfillment systems
Xie, L., Thieme, N. & Li, H., 12.2019, In: Logistics Research. 12, 1, 13 p., 9.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Leveraging Architectural Thinking for Large-Scale E-Government Projects
Burmeister, F., Drews, P. & Schirmer, I., 12.2019, ICIS 2019 Proceedings. Krcmar, H. & Fedorowicz, J. (eds.). Association for Information Systems, 17 p. 3126. (40th International Conference on Information Systems, ICIS 2019).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Lost-customers approximation of semi-open queueing networks with backordering: An application to minimise the number of robots in robotic mobile fulfilment systems
Otten, S., Krenzler, R., Xie, L., Daduna, H. & Kruse, K., 03.12.2019, New York, 44 p. (arXiv.org).Research output: Working paper › Working papers
- 2020
- Published
Assessing User Behavior by Mouse Movements
Matthiesen, J. J. & Brefeld, U., 2020, HCI International 2020 - Posters - : 22nd International Conference, HCII 2020, Proceedings. Stephanidis, C. & Antona, M. (eds.). Cham: Springer, p. 68-75 8 p. (Communications in Computer and Information Science; vol. 1224 CCIS).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Coresets for Archetypal Analysis
Mair, S. & Brefeld, U., 2020, 32rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada, 8-14 December 2019. Wallach, H. & Larochelle, H. (eds.). Red Hook: Curran Associates, Vol. 10. p. 7215-7223 9 p. (Advances in neural information processing systems; vol. 32).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review