no code implementations • 15 May 2024 • Yu-Wen Huang, Christian Prehofer, William Lindskog, Ron Puts, Pietro Mosca, Göran Kauermann
The proposed approach is based on a hybrid model which improves the prediction accuracy of energy consumption of BEVs.
1 code implementation • 15 Nov 2023 • Katharina Hechinger, Christoph Koller, Xiao Xiang Zhu, Göran Kauermann
The main idea of this work is to drop the assumption of a ground truth label and instead embed the annotations into a multidimensional space.
no code implementations • 26 May 2023 • Cornelia Gruber, Patrick Oliver Schenk, Malte Schierholz, Frauke Kreuter, Göran Kauermann
Machine Learning and Deep Learning have achieved an impressive standard today, enabling us to answer questions that were inconceivable a few years ago.
no code implementations • 4 May 2023 • Daniel Racek, Brittany I. Davidson, Paul W. Thurner, Xiao Xiang Zhu, Göran Kauermann
Notably, we find that more than half of the Russian-tweeting users shift towards Ukrainian as a result of the war.
1 code implementation • 30 May 2022 • Christoph Koller, Göran Kauermann, Xiao Xiang Zhu
Technological and computational advances continuously drive forward the broad field of deep learning.
no code implementations • 15 Dec 2020 • Cornelius Fritz, Marius Mehrl, Paul W. Thurner, Göran Kauermann
Accurate and interpretable forecasting models predicting spatially and temporally fine-grained changes in the numbers of intrastate conflict casualties are of crucial importance for policymakers and international non-governmental organisations (NGOs).
Applications