Publications
A Situation-Specific Smart Retail Service Based On Vital Signs
Öksüz, N., & Maass, W.
In Proceedings of the 41th International Conference on Information Systems (ICIS).
Presents a smart retail service that adapts based on customer vital signs.
AI-based Framework for Deep Learning Applications in Grinding
Kaufmann, T., Sahay, S., Niemietz, P., Trauth, D., Maass, W., & Bergs, T.
In Proceedings of the IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Introduces an AI framework for deep learning applications in grinding processes.
Data-Driven System for Treatment of Obese Children in Rural Areas
Öksüz, N., and Maass, W.
MobileHCI-20 Workshop: Learning from mHealth Success Stories: Effective Interventions for Marginalised Populations.
Develops a data-driven system for obesity treatment tailored for children in rural areas.
Automated Learning of User Preferences for Selection of High Quality 3D Designs
Bhat, P.S., Shcherbatyi, I., & Maass, W.
29th CIRP Design Conference, Procedia CIRP 84, pp. 814-819.
Introduces a framework for learning user preferences to select high-quality 3D designs.
CD2: Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing
Xu, S., Bauer, J., Axmann, B., & Maass, W.
POSTER presentation at ISVC-20.
A methodology for assessing the perceptual quality of image processing using combined contrast distributions.
Echtzeit-Optimierung in der landwirtschaftlichen Produktion
Maass, W., & Janzen, S.
20. VDI-Kongress AUTOMATION – Autonomous Systems and 5G in Connected Industries.
Explores real-time optimization techniques for agricultural production using autonomous systems.
J Research in the era of sensing technologies and wearables
Langer, M., Schmid Mast, M., Meyer, B., Maass, W., & König, C.
NY: Cambridge University Press, pp. 806-835.
Discusses the role of sensing technologies and wearables in advancing research methodologies.
TUCANA: A platform for using local processing power of edge devices for building data-driven services
Pyrtek, M., Xu, S., & Maass, W.
14. Internationale Tagung Wirtschaftsinformatik (WI).
Describes TUCANA, a platform leveraging edge devices for creating data-driven services.
A Data-analytical System to Predict Therapy Success for Obese Children
Öksüz, N., Shcherbatyi, I., Kowatsch, T., Maass, W.
In Proceedings of the 39th International Conference on Information Systems (ICIS)
Presents a system for predicting therapy success for obese children using data analytics.
Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research
Maass, W., Parsons, J., Purao, S., Storey, V.C., Woo, C.
Journal of the Association for Information Systems (JAIS)
Discusses the intersection of data-driven and theory-driven research in information systems.
Future Work and Enterprise Systems
Brocke, J., Maass, W., Buxmann, P., Maedche, A., Leimeister, J. M., Pecht, G.
Business & Information Systems Engineering
Discusses the evolving nature of work and enterprise systems in the context of technological advancements.
Inductive Discovery By Machine Learning for Identification of Structural Models
Maass, W., Shcherbatyi, I.
The 37th International Conference on Conceptual Modeling (ER)
Explores the use of machine learning for identifying structural models through inductive discovery.
Innovationsmanagement in Start-ups
Maass, W., Michels, T.
Innovationsmanagement in Start-ups
Explores innovation management strategies tailored for start-ups.
Joint Input and Predictive Model Parameters Selection for Financial Forecasting
Shcherbatyi, I., Maass, W.
European Conference on Data Analysis (ECDA)
Proposes a joint approach for input and model parameter selection in financial forecasting.
Smart Services in der Landwirtschaft. Die Digitalisierung der Kartoffel als Fallbeispiel für Smart Services in der Landwirtschaft
Maass, W., Pier, M., Moser, B., Meyer, K., Klinger, S., Zinke, C.
Service Engineering, Springer Fachmedien Wiesbaden, pp. 167-181
Highlights the role of smart services in agriculture, using the digitization of potatoes as a case study.