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Sebastian Höpfl University of Stuttgart

Modeling the sphingolipid rheostat under wild-type and hypomorph Hai1a. Dataset, (2024)
Modeling the sphingolipid rheostat under wild-type and hypomorph Hai1a. Dataset, (2024)Bayesian Modeling of Time Series Data (BayModTS). Dataset, (2024)MRI based perfusion of rats with 60% PVL, , , and . Dataset, (2024)Related to: Sebastian Höpfl, Mohamed Albadry, Uta Dahmen, Karl-Heinz Herrmann, Eva Marie Kindler, Matthias König, Jürgen Rainer Reichenbach, Hans-Michael Tautenhahn, Weiwei Wei, Wan-Ting Zhao, and Nicole Erika Radde: Bayesian Modelling of Time Series Data (BayModTS) - A FAIR Workflow to Process Sparse and Highly Variable Data.
 

Other publications of authors with the same name

An Environment for Relational Annotation of Political Debates, , , , , and . Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics : System Demonstrations, page 105-110. Association for Computational Linguistics, (2019)Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets, , , , , , and . Politics and Governance, 8 (2): 326-339 (2020)Automatic Analysis of Political Debates and Manifestos: Successes and Challenges, , , , , , , , and . Proceedings of the 1st International Conference on Robust Argumentation Machines, Bielefeld, Germany, (2024)Accepted for publication.Why Justifications of Claims Matter for Understanding Party Positions, , , , , , , and . Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis, (2022)Improving Neural Political Statement Classification with Class Hierarchical Information, , , , , , and . Findings of ACL, (2022)Accepted for publication.DEbateNet-mig15: Tracing the 2015 Immigration Debate in Germany Over Time, , , , , , and . Proceedings of LREC, page 919--927. Online, (2020)An Environment for the Relational Annotation of Political Debates, , , , , and . Proceedings of ACL System Demonstrations, Florence, Italy, (2019)Using Hierarchical Class Structure to Improve Fine-Grained Claim Classification, , , , , , and . Proceedings of the ACL Workshop of Structured Prediction, Bangkok, Thailand, (2021)Improving Neural Political Statement Classification with Class Hierarchical Information, , , , , , and . Findings of the Association for Computational Linguistics : ACL 2022, page 2367-2382. Stroudsburg, Association for Computational Linguistics, (2022)Supporting Discourse Network Analysis through Machine Learning for Claim Detection and Classification, , , , , , and . Proceedings of the 4th European Conference on Social Networks, Zurich, Switzerland, (2019)