We are happy to announce that the paper “AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation” by Lukas Kirchdorfer, Robert Blümel, Timotheus Kampik, Han van der Aa and Heiner Stuckenschmidt has been accepted for the 6th Intenational Conference on Process Mining in ...

We are happy to announce that the Paper “Fact Probability Vector Based Goal Recognition” by : Nils Wilken, Lea Cohausz, Christian Bartelt and Heiner Stuckenschmidt has been accepted for the 50th European Conference on Artificial Intelligence (CORE A, 23% Acceptance rate).

We are happy to announce that four PhD Students from the AI group have their papers accepted for IJCAI 2024 (A* ranked) in Jeju, Korea: Julia Gastinger: “History repeats itself: A Baseline for Temporal Knowledge Graph Forecasting” (Research Track) Andrej Tschalzev: “Enabling Mixed Effects Neural ...

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%).