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- research-articleApril 2023
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
International Journal of Information Management: The Journal for Information Professionals (IJIM), Volume 69, Issue Chttps://doi.org/10.1016/j.ijinfomgt.2022.102538AbstractMachine learning algorithms enable advanced decision making in contemporary intelligent systems. Research indicates that there is a tradeoff between their model performance and explainability. Machine learning models with higher ...
Highlights- Theoretical algorithm interpretability does not entail perceived explainability.
- articleFebruary 2023
A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing
ACM SIGMIS Database: the DATABASE for Advances in Information Systems (SIGMIS), Volume 54, Issue 1Pages 11–45https://doi.org/10.1145/3583581.3583584Fueled by increasing data availability and the rise of technological advances for data processing and communication, business analytics is a key driver for smart manufacturing. However, due to the multitude of different local advances as well as its ...
- ArticleSeptember 2021
Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability
Responsible AI and Analytics for an Ethical and Inclusive Digitized SocietyPages 245–258https://doi.org/10.1007/978-3-030-85447-8_22AbstractNumerous machine learning algorithms have been developed and applied in the field. Their application indicates that there seems to be a tradeoff between their model performance and explainability. That is, machine learning models with higher ...
- ArticleAugust 2021
Design Principles for Shared Maintenance Analytics in Fleet Management
AbstractMany of today’s production facilities are modular in design and therefore to some degree individual. Further, there is a variety of differing application contexts that impact the operation of machines as compared to the manufacturer’s test cases. ...
- ArticleDecember 2020
Bridging the Architectural Gap in Smart Homes Between User Control and Digital Automation
Designing for Digital Transformation. Co-Creating Services with Citizens and IndustryPages 376–381https://doi.org/10.1007/978-3-030-64823-7_35AbstractIn today’s homes, terminals such as televisions, refrigerators, washing machines, lamps, or heaters are operated separately and locally. Typically, the resident initiates actions on the terminal device manually and controls their runtime. ...