We are happy to announce both of our submissions have been accepted for ECML/PKDD 2023 in Turin,Italy (CORE rank A). “Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting” by Julia Gastlinger, Timo Sztyler, Lokesh Sharma, Anett Schülke and Heiner ...

Recent joint work from the Chair of Service Operations Management and the Data Web Science Group accepted for presentation.

We are happy to announce that the paper “Outlying Aspect Mining via Sum-Product Networks” by Stefan Lüdtke, Christian Bartelt und Heiner Stuckenschmidt has been accepted for the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) (CORE Rank A, Acceptance Rate 17%).

We are happy to announce that the Paper “Online Random Feature Forests for Learning in Varying Feature Spaces” by Christian Schreckenberger, Yi He, Stefan Lüdtke, Christian Bartelt and Heiner Stuckenschmidt has been accepted for AAAI 2023 (Acceptance rate 19.6%)    

In courses, all participants are usually provided with identical learning materials, regardless of previous knowledge and ability. As part of the project, a recommendation system is to be developed and tested in two different courses, which provides students with additional materials such as ...

The KISync research project aims to investigate how methods of artificial intelligence (AI) must be applied to solve the decision problems of different processes in the synchronize operational supply chain planning under the influence of uncertainties. Included is primarily intended to support ...

The digitization and optimization of active processes in the construction industry using methods of artificial intelligence is of strategic interest for those involved in construction. The aim of this project application is the development of an AI-based system for the semantic classification and ...

Lea Cohausz has received an award for the best student shart paper at the 15th International Conference on Educational Data Mining for her work on “Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science”. Congratulations!  ...

We are happy that the following papers have been accepted for the 31st International Joint Conference on Artificial Intelligence July 23–29, 2022 in Vienna (Acceptance Rate: 15%): Patrick Betz, Christian Meilicke and Heiner Stuckenschmidt: “Adversarial Explanations for Knowledge Graph Embeddings” ...

We are happy to announce that the paper “Exploiting Label Semantics for Rule-based Activity Recommendation in Business Process Modeling” by Diana Sola, Han van der Aa, Christian Meilicke and Heiner Stuckenschmidt has been accepted for the “Information Systems” Journal ( The paper can be found at: ...