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
- 2025
- Accepted/In press
Conveying the Ethics of Artificial Intelligence in K–12 and Academia: A Systematic Review of Teaching Methods
Tschoppe, N. J., Katsarov, J., Drews, P. & Trittin-Ulbrich, H., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Accepted/In press
Overcoming Multi-legacy Application Challenges through Building Dynamic Capabilities for Adopting Low-code
Naqvi, S. A. A., Zimmer, M. P., Rehan, S., Drews, P. & Basole, R. C., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Accepted/In press
Shifting Competency Requirements for IT Professionals in the Digital Transformation: A Competency Transformation Process Model
Pieczurczyk, S. & Drews, P., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Accepted/In press
Understanding Partnering Strategies in the Low-Code Platform Ecosystem
Naqvi, S. A. A., Zimmer, M. P., Drews, P. & Basole, R. C., 2025, (Accepted/In press) Proceedings of HICSS 2025. 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2024
- Published
Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT
Hentati Isacsson, N., Zantvoort, K., Forsell, E., Boman, M. & Kaldo, V., 12.2024, In: Internet Interventions. 38, 8 p., 100773.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Predicting recurrent chat contact in a psychological intervention for the youth using natural language processing
Hornstein, S., Scharfenberger, J., Lueken, U., Wundrack, R. & Hilbert, K., 12.2024, In: npj Digital Medicine. 7, 1, 9 p., 132.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review
Ciharova, M., Amarti, K., van Breda, W., Peng, X., Lorente-Català, R., Funk, B., Hoogendoorn, M., Koutsouleris, N., Fusar-Poli, P., Karyotaki, E., Cuijpers, P. & Riper, H., 01.10.2024, In: Biological Psychiatry. 96, 7, p. 519-531 13 p.Research output: Journal contributions › Scientific review articles › Research
- Published
Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate the Influence of Language Models in Invoice Recognition
Thiée, L. W., 11.09.2024, Document Analysis and Recognition – ICDAR 2024 Workshops, Proceedings. Mouchère, H. & Zhu, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 199-212 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14936).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- E-pub ahead of print
Identifying clinically relevant agranulocytosis in people registered on the UK clozapine Central Non-Rechallenge Database: retrospective cohort study
Oloyede, E., Bachmann, C. J., Dzahini, O., Lopez Alcaraz, J. M., Singh, S. D., Vallianatou, K., Funk, B., Whiskey, E. & Taylor, D., 16.08.2024, (E-pub ahead of print) In: The British Journal of Psychiatry. 8 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
Sakhovskiy, A., Salnikov, M., Nikishina, I., Usmanova, A., Kraft, A., Möller, C., Banerjee, D., Huang, J., Jiang, L., Abdullah, R., Yan, X., Ustalov, D., Tutubalina, E., Usbeck, R. & Panchenko, A., 01.08.2024, Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing. Ustalov, D., Gao, Y., Pachenko, A., Tutubalina, E., Nikishina, I., Ramesh, A., Sakhovskiy, A., Usbeck, R., Penn, G. & Valentino, M. (eds.). Kerrville: Association for Computational Linguistics (ACL), p. 116-125 10 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review