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
- Published
Realization of Data-Driven Business Models in Incumbent Companies: An Exploratory Study Based on the Resource-Based View
Lange, H. E., Drews, P. & Höft, M., 2021, ICIS 2021 Proceedings: Building sustainability and resilience with IS: A call for action. Association for Information Systems, 17 p. 1410Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Space and Control in Soccer
Martens, F., Dick, U. & Brefeld, U., 16.07.2021, In: Frontiers in Sports and Active Living . 3, 13 p., 676179.Research output: Journal contributions › Journal articles › Research
- Published
Principled Interpolation in Normalizing Flows
Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 09.2021, Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part II. Oliver, N., Pérez-Cruz, F., Kramer, S., Read, J. & Lozano, J. A. (eds.). Cham: Springer Nature AG, p. 116-131 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12976 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Contextual movement models based on normalizing flows
Fadel, S., Mair, S., da Silva Torres, R. & Brefeld, U., 03.2023, In: AStA Advances in Statistical Analysis. 107, 1-2, p. 51-72 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
The origins of goals in the German Bundesliga
Anzer, G., Bauer, P. & Brefeld, U., 17.11.2021, In: Journal of Sports Sciences. 39, 22, p. 2525-2544 20 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Joint optimization of an autoencoder for clustering and embedding
Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
“Ideation is Fine, but Execution is Key”: How Incumbent Companies Realize Data-Driven Business Models
Lange, H. E., Drews, P. & Höft, M., 2021, Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Main Papers: CBI 2021, Virtual Conference 1-3 September 2021, Proceedings . Almeida, J. P. A., Guizzardi, G., Montali, M. & Proper, H. A. (eds.). Los Alamitos: IEEE - Institute of Electrical and Electronics Engineers Inc., Vol. 1. p. 191-200 10 p. ( IEEE ... Conference on Business Informatics; vol. 23, no. 1).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
A MODEL FOR QUANTIFICATION OF SOFTWARE COMPLEXITY
Roth, C. & Lesshafft, K., 06.1987, In: Angewandte Informatik. 29, 6, p. 227-234 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Quality and Adoption of COVID-19 Tracing Apps and Recommendations for Development: Systematic Interdisciplinary Review of European Apps
Kahnbach, L., Lehr, D., Brandenburger, J., Mallwitz, T., Jent, S., Hannibal, S., Funk, B. & Janneck, M., 02.06.2021, In: Journal of Medical Internet Research. 23, 6, 18 p., e27989.Research output: Journal contributions › Scientific review articles › Research
- Published
Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach
Bremer, V., Chow, P., Funk, B., Thorndike, F. P. & Ritterband, L. M., 28.10.2020, In: Journal of Medical Internet Research. 22, 10, 20 p., e17738.Research output: Journal contributions › Conference article in journal › Research › peer-review