Publikationen
2022
Begutachteter Zeitschriftenartikel
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability
Herm, Lukas-Valentin; Heinrich, Kai; Wanner, Jonas; Janiesch, Christian
In: International journal of information management - Kidlington: Elsevier : Pergamon . - 2022
The effect of transparency and trust on intelligent system acceptance - evidence from a user-based study
Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian
In: Electronic markets - Berlin: Springer . - 2022, insges. 24 S.
Artikel in Kongressband
Algorithms as a manager - a critical literature review of algorithm management
Heinrich, Kai; Vu, Minh Anh; Vysochyna, Anastasiia
In: Digitization for the next generation - New York: Elsevier . - 2022
Nicht begutachteter Zeitschriftenartikel
Where was COVID-19 first discovered? - designing a question-answering system for pandemic situations
Graf, Johannes; Lancho, Gino; Zschech, Patrick; Heinrich, Kai
In: De.arxiv.org - [S.l.]: Arxiv.org . - 2022, insges. 19 S.
2021
Buchbeitrag
Deep Learning in der Landwirtschaft - Analyse eines Weinbergs
Zschech, Patrick; Heinrich, Kai; Möller, Björn; Breithaupt, Lukas; Maresch, Johannes; Roth, Andreas
In: Big Data Analytics - Wiesbaden: Springer Vieweg; D'Onofrio, Sara *1989-* . - 2021, S. 169-194
Adoption barriers of AI - a context-specific acceptance model for industrial maintenance
Wanner, Jonas; Popp, Laurell; Fuchs, Kevin; Heinrich, Kai; Herm, Lukas-Valentin; Janiesch, Christian
In: ECIS 2021 research-in-progress papers - [Erscheinungsort nicht ermittelbar]: Association for Information Systems,, 2021, paper number 1601
Stop ordering machine learning algorithms by their explainability! - an empirical investigation of the tradeoff between performance and explainability
Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian
In: Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - Cham: Springer International Publishing; Dennehy, Denis . - 2021, S. 245-258 - ( Lecture notes in computer science; volume 12896)
Begutachteter Zeitschriftenartikel
Machine learning and deep learning
Janiesch, Christian; Zschech, Patrick; Heinrich, Kai
In: Electronic markets - Berlin: Springer . - 2021, insges. 11 S.
Process data properties matter - introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning
Heinrich, Kai; Zschech, Patrick; Janiesch, Christian; Bonin, Markus
In: Decision support systems - Amsterdam [u.a.]: Elsevier, Bd. 143 (2021), insges. 14 S.
A social evaluation of the perceived goodness of explainability in machine learning
Wanner, Jonas; Herm, Lukas-Valentin; Heinrich, Kai; Janiesch, Christian
In: Journal of business analytics - London: Taylor & Francis Group . - 2021, insges. 22 S.
Nicht begutachteter Zeitschriftenartikel
A picture is worth a collaboration - accumulating design knowledge for computer-vision-based hybrid intelligence systems
Zschech, Patrick; Walk, Jannis; Heinrich, Kai; Vössing, Michael; Kühl, Niklas
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2021, Artikel 2104.11600, insges. 17 S.