Publikationen

Seite 1 von 3.

Nijat Mehdiyev; Lea Götz; Johannes Lahann; Peter Fettke
Deep learning-based clustering of processes and their visual exploration: An industry 4.0 use case for small, medium‐sized enterprises
In: Expert Systems (EXSY), Vol. 39, Pages 1-24, Wiley, 2022.
Nijat Mehdiyev; Constantin Houy; Oliver Gutermuth; Lea Götz; Peter Fettke
Explainable Artificial Intelligence (XAI) Supporting Public Administration Processes – On the Potential of XAI in Tax Audit Processes
In: Proceedings of the 16. International Conference on Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2021), March 9-11, …
Lea Götz; Nijat Mehdiyev; Peter Fettke
Manufacturing Execution Systems driven Process Analytics: A Case Study from Individual Manufacturing
In: CIRP 8th Conference on Assembly Technology and Systems. CIRP Conference on Assembly Technology and Systems (CIRP CATS-2021), Athens, Greece, Pages …
Nijat Mehdiyev; Peter Fettke
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring
In: Witold Pedrycz; Shyi-Ming Chen (Hrsg.). Interpretable Artificial Intelligence: A Perspective of Granular Computing. Chapter 1, Pages 1-28, Vol. …
Nijat Mehdiyev; Peter Fettke
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing
In: ECIS 2021 - 29th European Conference on Information System. European Conference on Information Systems (ECIS-2021), 29th, June 14-16, Marrakech, …
Nijat Mehdiyev; Peter Fettke
Prescriptive process analytics with deep learning and explainable artificial intelligence
In: Twenty-Eighth European Conference on Information Systems (ECIS2020) - A Virtual AIS Conference. European Conference on Information Systems …
Peter Fettke; Lea Götz; Nijat Mehdiyev
Big-Prozess-Analytik für Fertigungsmanagementsysteme (MES)
In: Marion Steven; Timo Klünder (Hrsg.). Big Data: Anwendung und Nutzungspotenziale in der Produktion. Chapter 2, Pages 215-239, ISBN …
Nijat Mehdiyev
Explainable Process Predictions (xPP): A Holistic Framework and Applications
In: Claudio Di Ciccio; Benoît Depaire; Jochen De Weerdt; Chiara Di Francescomarino; Jorge Munoz-Gama (Hrsg.). ICPM 2020. International Conference on …
Patrick Lübbecke; Nijat Mehdiyev; Peter Fettke
Substitution of hazardous chemical substances using Deep Learning and t-SNE
In: Proceedings der Internationalen Tagung Wirtschaftsinformatik. Internationale Tagung Wirtschaftsinformatik (WI-2019), Human Practice. Digital …
Jana-Rebecca Rehse; Nijat Mehdiyev; Peter Fettke
Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory
In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für …