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
- Published
Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI
Kraft, A. & Soulier, E., 03.06.2024, 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024. Association for Computing Machinery, Inc, p. 1433-1445 13 p. (2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Neural Combinatorial Optimization on Heterogeneous Graphs: An Application to the Picker Routing Problem in Mixed-Shelves Warehouses
Luttmann, L. & Xie, L., 30.05.2024, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 34, p. 351-359 9 p.Research output: Journal contributions › Conference article in journal › Research › peer-review
- E-pub ahead of print
Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions
Zantvoort, K., Hentati Isacsson, N., Funk, B. & Kaldo, V., 15.05.2024, (E-pub ahead of print) In: Digital Health. 10, 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Event Extraction Alone Is Not Enough
Huang, J., Jiang, L., Möller, C. & Usbeck, R., 05.2024, Narrative Extraction From Texts 2024: Proceedings of Text2Story — Seventh Workshop on Narrative Extraction From Texts held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024). Campos, R., Jorge, A. M., Jatowt, A., Bhatia, S. & Litvak, M. (eds.). Aachen: Rheinisch-Westfaelische Technische Hochschule Aachen, Vol. 3671. p. 105-114 10 p. (CEUR Workshop Proceedings; vol. 3671).Research output: Contributions to collected editions/works › Conference contribution › peer-review
- Published
Studying properties of water data using manifold-aware anomaly detectors
Paulsen, T. & Brefeld, U., 23.04.2024, First International Conference on the Design of Cyber-Secure Water Plants.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data
Amangeldi, D., Usmanova, A. & Shamoi, P., 07.03.2024, In: IEEE Access. 12, p. 33504-33523 20 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Surveying the FAIRness of Annotation Tools: Difficult to find, difficult to reuse
Borisova, E., Abu Ahmad, R., Garcia-Castro, L. J., Usbeck, R. & Rehm, G., 01.03.2024, LAW 2024 - 18th Linguistic Annotation Workshop, Co-located with EACL 2024 - Proceedings of the Workshop: Proceedings of the Workshop. Henning, S. & Stede, M. (eds.). Stroudsburg: Association for Computational Linguistics (ACL), p. 29-45 17 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Masked Autoencoder Pretraining for Event Classification in Elite Soccer
Rudolph, Y. & Brefeld, U., 26.02.2024, Machine Learning and Data Mining for Sports Analytics: 10th International Workshop, MLSA 2023, Revised Selected Papers. Brefeld, U., Davis, J., Van Haaren, J. & Zimmermann, A. (eds.). Cham: Springer Nature Switzerland AG, p. 24-35 12 p. (Communications in Computer and Information Science; vol. 2035).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Digitale Kompetenzen im Wandel: Eine Neubewertung digitaler Kompetenzen in der IT-Funktion eines Automobilunternehmens
Pieczurczyk, S. & Drews, P., 02.2024, In: HMD Praxis der Wirtschaftsinformatik. 61, 1, p. 78-99 22 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Submitted
Special Issue: Embracing Contrarian Thinking: Value-Reflexive Research for a Digital World
Zimmer, M. P. (ed.), Vasilakopoulou, P. (ed.), Grisot, M. (ed.) & Niemimaa, M. (ed.), 07.2025, Routledge Taylor & Francis Group. (European Journal of Information Systems)Research output: Books and anthologies › Special Journal issue › Research