Institut für Künstliche Intelligenz

Funded Projects

Opt4DAC: Bridging Black-Box Optimization and Machine Learning for Dynamic Algorithm

Prof. Lindauer - DFG/ANR, 2024-2027

Human-Centered Explanations of Machine Learning Results

Prof. Wachsmuth – NDS, since 2023

Green AutoML for Assisted Driving

Prof. Lindauer – BMUV, 2023-2026

Fair Benchmarking for Dynamic Algorithm Configuration

Prof. Lindauer – DAAD, 2023-2024

HPC for ixAutoML

Prof. Lindauer – PC2 Paderborn, 2023-2025

Interactive and Explainable Human-Centered AutoML

Prof. Lindauer – ERC/EU, 2022-2027

KISSKI: AI Service Center

Prof. Lindauer – BMBF, 2022-2026

CoyPu: Cognitive Economy Intelligence Platform for the Resillience of Economic Ecosystems

Prof. Lindauer – BMWK, 2021-2024

Metaphors as an Explanation Tool

Prof. Wachsmuth – DFG, since 2021

Towards a Framework for Assessing Explanation Quality

Prof. Wachsmuth – DFG, since 2021

Computational Support for Learning Argumentative Writing in Digital School Education

Prof. Wachsmuth – DFG, since 2021

OASiS: Objective Argument Summarization in Search

Prof. Wachsmuth – DFG, since 2021

Leibniz AI Academy

Prof. Lindauer – BMBF & MWK, 2021-2025

Dynamic Algorithm Configuration

Prof. Lindauer – DFG, 2020-2024

Past Projects

Parameterized Service Configurations

Prof. Wachsmuth – DFG, 2019–2023

Bias in AI Models

Prof. Wachsmuth – NRW, 2020–2022

Letzte Änderung: 08.11.24 Druckversion