no code implementations • 26 Oct 2021 • Kostadin Cvejoski, Jannis Schuecker, Anne-Katrin Mahlein, Bogdan Georgiev
In this work we combine representation learning capabilities of neural network with agricultural knowledge from experts to model environmental heat and drought stresses.
no code implementations • 9 Dec 2019 • Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev, Jannis Schuecker, Christian Bauckhage, Cesar Ojeda
Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance.
no code implementations • 24 Jun 2019 • César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez, Jannis Schuecker, Bogdan Georgiev, Christian Bauckhage
Service system dynamics occur at the interplay between customer behaviour and a service provider's response.
1 code implementation • 29 Mar 2019 • Laura von Rueden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker
It considers the source of knowledge, its representation, and its integration into the machine learning pipeline.