We are happy to announce that papers by DWS members based on the work referenced belwo have been accpepted for ICLR 2024 in Vienna: Jonas Belouadi, Anne Lauscher, Steffen Eger: AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ (https://arxiv.org/abs/2310.00367). Sascha ...

We are happy to announce, that the paper “RAISE the Bar: Restriction of Action Spaces for Improved Social Welfare and Equity in Traffic Management” by Michael Oesterle, Tim Grams, Christian Bartelt und Heiner Stuckenschmidt has been accepted as a full paper at the research Track of the International ...

We are happy to announce that the Paper “GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent” by Sascha Marton, Stefan Lüdtke, Christian Bartelt and Heiner Stuckenschmidt has benn accepted for the 38th Annual AAAI Conference on Artificial Intelligence

For the second year in a row, Lea Cohaus has received a best student paper award at the international conference on educational data mining (EDM 2023). This year's award winning paper is titled “Investigating the Importance of Demographic Features for EDM-Predictions”. The Paper is co-authored by ...

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 ...