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Dr. -Ing. Daniel Markthaler University of Stuttgart

Replication Data for: Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis, and . Dataset, (2024)Related to: Schneider, Andreas; Lystbæk, Thomas B.; Markthaler, Daniel; Hansen, Niels; Hauer, Bernhard (2024): Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis. In: Nature Communications, 15, 4925. doi: 10.1038/s41467-024-48993-9.
 

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Towards an Economy-Based Optimisation of File Access and Replication on a Data Grid., , , and . CCGRID, page 340-345. IEEE Computer Society, (2002)Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm., , , and . WASSA@EMNLP, page 25-30. The Association for Computer Linguistics, (2015)On the Effectiveness of Query Weighting for Adapting Rank Learners to New Unlabelled Collections., , , and . CIKM, page 1413-1422. ACM, (2016)SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations., , , , and . WWW, page 419-428. ACM, (2018)Automatic Sarcasm Detection: A Survey., , and . CoRR, (2016)Efficient Benchmarking of NLP APIs using Multi-armed Bandits., , and . EACL (1), page 408-416. Association for Computational Linguistics, (2017)Tripartite Hidden Topic Models for Personalised Tag Suggestion., , , and . ECIR, volume 5993 of Lecture Notes in Computer Science, page 432-443. Springer, (2010)Are Word Embedding-based Features Useful for Sarcasm Detection?, , , , and . EMNLP, page 1006-1011. The Association for Computational Linguistics, (2016)Towards Risk-Aware Resource Selection., , and . AIRS, volume 8870 of Lecture Notes in Computer Science, page 148-159. Springer, (2014)Automatic Identification of Sarcasm Target: An Introductory Approach., , , and . CoRR, (2016)