Institute of Information Systems
Organisational unit: Institute
- Junior professorship for Information Systems, in particular Data Analytics
- 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
181 - 190 out of 642Page size: 10
- 2020
- Published
The Role of Network Size for the Robustness of Centrality Measures
Martin, C. & Niemeyer, P., 01.01.2020, Complex Networks and Their Applications VIII: Volume 1 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. Cherifi, H., Gaito, S., Mendes, J. F., Moro, E. & Rocha, L. M. (eds.). Cham: Springer Schweiz, Vol. 1. p. 40-51 12 p. (Studies in Computational Intelligence; vol. 881).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Enhancing Information Governance with Enterprise Architecture Management: Design Principles Derived from Benefits and Barriers in the GDPR Implementation
Burmeister, F., Huth, D., Drews, P., Schirmer, I. & Matthes, F., 01.2020, Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020: IT Governance and its Mechanisms. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 5593-5602 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Everyone’s Going to be an Architect: Design Principles for Architectural Thinking in Agile Organizations
Horlach, B., Drechsler, A., Schirmer, I. & Drews, P., 01.2020, Proceedings of the 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020. Bui, T. X. (ed.). Honolulu: University of Hawaiʻi at Mānoa, p. 6197-6206 10 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2020-January).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 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
- Published
‘Forewarned is Forearmed’: Overcoming Multifaceted Challenges of Digital Innovation Units
Raabe, J-P., Horlach, B., Schirmer, I. & Drews, P., 2020, 26th Americas Conference on Information Systems, AMCIS 2020: Strategic and competitive uses of IT. A. F. I. S. (ed.). Atlanta: AIS eLibrary, 10 p. (Proceedings of the Americas Conference on Information Systems (AMCIS); vol. 2020).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
Rudolph, Y., Brefeld, U. & Dick, U., 2020, In: Proceedings of Machine Learning Research. 137, p. 136-147 12 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Machine Learning and Data Mining for Sports Analytics: 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings
Brefeld, U. (ed.), Davis, J. (ed.), van Haaren, J. (ed.) & Zimmermann, A. (ed.), 2020, Cham: Springer International Publishing AG. 146 p. (Communications in Computer and Information Science; vol. 1324)Research output: Books and anthologies › Conference proceedings › Research
- Published
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I
Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 766 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research
- Published
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II
Brefeld, U. (ed.), Fromont, E. (ed.), Hotho, A. (ed.), Knobbe, A. (ed.), Maathuis, M. (ed.) & Robardet, C. (ed.), 2020, Cham: Springer Nature Switzerland AG. 732 p. (Lecture notes in computer science; vol. 11906)(Lecture Notes in Artificial Intelligence; vol. 11906)Research output: Books and anthologies › Conference proceedings › Research