In the XAINES project, the aim is not only to ensure explainability, but also to provide explanations (narratives). The central question is whether AI can explain in one sentence why it acted the way
Modelle und Erkennungsalgorithmen für Informationskontexte und Prozesszustände zur kontextspezifischen proaktiven Informationsbereitstellung durch einen virtuellen Crewassistenten
Partners Universität Hannover (Gottfried Wilhelm Leibniz Universität Hannover) Pädagogische Hochschule Ludwigsburg (Fakultät III: Sonderpädagogik Institut für Sonderpädagogische Förderschwerpunkte) Un
Despite astonishing progress in the field of Machine Learning (ML), the robustness of high-performance models, especially the ones based on Deep Learning technologies, has been lower than initially pr
The astonishing speed of developments in deep learning, especially in the field of computer vision, is largely based on the availability of increasingly powerful co-processors. They allow to process e
Motivation Focused research and development in the field of Deep Learning, especially in recent years, has resulted in a variety of different network types, architectures, modules, training methods an
Introducing ‘forgetting’ into organizational knowledge management methods and practices promises to help overcome information overload and to ease focusing on and refinding the really important things
This project aims to address the challenge of opinion mining of multimedia content from the web. This comprises a large-scale multi-modal analysis of social media streams and their underlying network