Christian Troost

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Transfer Learning

Manifold Alignment

Convolutional Neural Networks

Top Venues

Environ. Model. Softw.

GI-Jahrestagung

GIL Jahrestagung

AAAI Spring Symposium: MAKE

Publications

Uta Berger, Andrew R. Bell, C. Michael Barton, Émile J. L. Chappin, Gunnar Dreßler, Tatiana Filatova, Thibault Fronville, Allen Lee, Emiel van Loon, Iris Lorscheid, Matthias Meyer, Birgit Müller, Cyril Piou, Viktoriia Radchuk, Nicholas Roxburgh, Lennart Schüler, Christian Troost, Nanda Wijermans, Timothy G. Williams, Marie-Christin Wimmler, Volker Grimm
Towards reusable building blocks for agent-based modelling and theory development. Environ. Model. Softw. 175 (2024)
Nils Reinosch, Alexander Münzberg, Daniel Martini, Alexander Niehus, Liv Seuring, Christian Troost, Rajiv Kumar Srivastava, Thomas Berger, Thilo Streck, Ansgar Bernardi
SIMLEARN - Ontologiegestützte Integration von Simulationsmodellen, Systemen für maschinelles Lernen und Planungsdaten. GIL Jahrestagung (2023)
Christian Troost, Robert Huber, Andrew R. Bell, Hedwig van Delden, Tatiana Filatova, Quang Bao Le, Melvin Lippe, Leila Niamir, J. Gareth Polhill, Zhanli Sun, Thomas Berger
How to keep it adequate: A protocol for ensuring validity in agent-based simulation. Environ. Model. Softw. 159 (2023)
Alexander Münzberg, Christian Troost, Nils Reinosch, Daniel Martini, Liv Seuring, Alexander Niehus, Rajiv Kumar Srivastava, Thilo Streck, Thomas Berger, Ansgar Bernardi
Landwirtschaftliche Ertragsvorhersage im Kontext begrenzter realer Trainingsdatensätze: ein Transfer-Learning-Ansatz unter Verwendung tieferneuronalerNetze. GI-Jahrestagung (2023)
Alexander Münzberg, Christian Troost, Daniel Martini, Francisco Mendoza, Rajiv Srivastava, Thomas Berger, Liv Seuring, Nils Reinosch, Thilo Streck, Ansgar Bernardi
Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure. AAAI Spring Symposium: MAKE (2022)
Alexander Münzberg, Christian Troost, Ansgar Bernardi
Using Transfer Learning for Quality Improved Forecasting of Temporal Agricultural Processes by Adapting Convolutional Neural Networks. GI-Jahrestagung (2022)