Aktuelles

Insgesamt 19 Stellen auf verschiedenen Ebenen warten darauf, an herausragende Wissenschaft­ler*innen vergeben zu werden.

The paper „Parallel Training of Knowledge Graph Embedding Models: A Comparison of Techniques“ by Adrian Kochsiek and Rainer Gemulla has been accepted at the 2022 Proceedings of the VLDB Endowment (PVLDB). Abstract: Knowledge graph embedding (KGE) models represent the entities and relations of a ...

High-fidelity Graphical User Interface (GUI) prototyping is a well-established and suitable method for enabling fruitful discussions, clarification and refinement of requirements formulated by customers.

The paper „GECCO: Constraint-driven Abstraction of Low-level Event Logs“ by Adrian Rebmann and Han van der Aa from the DWS research group on Process Analytics, in collaboration with Matthias Weidlich from the Humboldt-Universität zu Berlin, was accepted for the 38th IEEE International Conference on ...

Technological innovations in data science and artificial intelligence research have led to increasing task automation in autonomous driving.

Machine Learning for Converting Black-Box Models to Interpretable Functions

The main contribution of this paper is a new criterion, called Expected Information Gain, to compute the best possible split, given that there is missing data present in a dataset.

Trapezoidal Data Streams are an emerging topic, where not only the data volume increases, but also the data dimension, i.e. new features emerge.

An essential feature of pervasive, intelligent systems is the ability to dynamically adapt to their users' current needs. Hence, it is critical for such systems to be able to recognize the current goals and needs of the users based on observed past and current actions.

Zitat/Beitrag von Prof. Spengel im Artikel „Wirtschafts­spionage: Gefeierter deutscher Anwalt vor Schweizer Gericht“