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ORCIDStefan Zwicklbauer
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2020 – today
- 2024
[c13]Kumar Manas, Stefan Zwicklbauer, Adrian Paschke:
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules. IV 2024: 1206-1213- [i2]Kumar Manas, Stefan Zwicklbauer, Adrian Paschke:
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules. CoRR abs/2406.05709 (2024) - 2022
- [c12]Kumar Manas, Stefan Zwicklbauer, Adrian Paschke:
Robust Traffic Rules and Knowledge Representation for Conflict Resolution in Autonomous Driving. RuleML+RR (Companion) 2022 - [i1]Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern
, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer:
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. CoRR abs/2205.04712 (2022)
2010 – 2019
- 2017
- [b1]Stefan Zwicklbauer:
Robust Entity Linking in Heterogeneous Domains. University of Passau, Germany, 2017 - [c11]Konstantin Ziegler, Olivier Caelen, Mathieu Garchery, Michael Granitzer, Liyun He-Guelton, Johannes Jurgovsky, Pierre-Edouard Portier, Stefan Zwicklbauer:
Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings. WETICE 2017: 200-205 - 2016
- [c10]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings. ESWC 2016: 182-198 - [c9]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Robust and Collective Entity Disambiguation through Semantic Embeddings. SIGIR 2016: 425-434 - 2015
- [c8]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation. DEXA (1) 2015: 76-93 - [c7]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Search-based entity disambiguation with document-centric knowledge bases. I-KNOW 2015: 6:1-6:8 - [p1]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Linking Biomedical Data to the Cloud. Smart Health 2015: 209-235 - 2014
- [c6]Stefan Zwicklbauer, Britta Meixner, Harald Kosch:
Improving Scene Detection Algorithms Using New Similarity Measures. MMM (2) 2014: 323-330 - 2013
- [c5]Kai Schlegel, Sebastian Bayerl, Stefan Zwicklbauer, Florian Stegmaier, Christin Seifert, Michael Granitzer, Harald Kosch:
Trusted Facts: Triplifying Primary Research Data Enriched with Provenance Information. ESWC (Satellite Events) 2013: 268-270 - [c4]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Do We Need Entity-Centric Knowledge Bases for Entity Disambiguation? I-KNOW 2013: 4:1-4:8 - [c3]Stefan Zwicklbauer, Christoph Einsiedler, Michael Granitzer, Christin Seifert:
Towards Disambiguating Web Tables. ISWC (Posters & Demos) 2013: 205-208 - [c2]Christin Seifert, Michael Granitzer, Patrick Höfler, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Sebastian Bayerl, Florian Stegmaier, Stefan Zwicklbauer, Roman Kern:
Crowdsourcing Fact Extraction from Scientific Literature. CHI-KDD 2013: 160-172 - 2012
- [c1]Florian Stegmaier, Christin Seifert, Roman Kern, Patrick Höfler, Sebastian Bayerl, Michael Granitzer, Harald Kosch, Stefanie N. Lindstaedt, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Stefan Zwicklbauer:
Unleashing Semantics of Research Data. WBDB 2012: 103-112
Coauthor Index
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