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Stephan Baier
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2020 – today
- 2023
- [j3]Stephan Baier, Esrafil Ali Molla
:
Diophantine approximation with prime denominator in real quadratic function fields. Finite Fields Their Appl. 91: 102242 (2023) - 2020
- [j2]Stephan Baier, Sebastian Dunzer, Peter Fettke, Constantin Houy, Martin Matzner, Peter Pfeiffer, Jana-Rebecca Rehse, Martin Scheid, Sebastian Stephan, Matthias Stierle, Brian Willems:
The MobIS-Challenge 2019 A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 15: 5:1-5:25 (2020) - [i9]Sebastian Dunzer, Matthias Stierle, Martin Matzner, Stephan Baier:
Conformance checking: A state-of-the-art literature review. CoRR abs/2007.10903 (2020)
2010 – 2019
- 2019
- [b1]Stephan Baier:
Learning representations for supervised information fusion using tensor decompositions and deep learning methods. Ludwig Maximilian University of Munich, Germany, 2019 - [c11]Sebastian Dunzer
Conformance checking: a state-of-the-art literature review. S-BPM ONE 2019: 4:1-4:10 - [i8]Stephan Baier:
Analyzing Customer Feedback for Product Fit Prediction. CoRR abs/1908.10896 (2019) - 2018
- [c10]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. IJCAI 2018: 5214-5218 - [c9]Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier:
Holistic Representations for Memorization and Inference. UAI 2018: 403-413 - [i7]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. CoRR abs/1808.08941 (2018) - [i6]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. CoRR abs/1809.00204 (2018) - 2017
- [c8]Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. ESANN 2017 - [c7]Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang:
Embedding Learning for Declarative Memories. ESWC (1) 2017: 202-216 - [c6]Volker Tresp, Yunpu Ma, Stephan Baier:
Learning with Knowledge Graphs. NeSy 2017 - [c5]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. ISWC (1) 2017: 53-68 - [i5]Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. CoRR abs/1711.04679 (2017) - [i4]Stephan Baier, Volker Tresp:
Tensor Decompositions for Modeling Inverse Dynamics. CoRR abs/1711.04683 (2017) - 2016
- [c4]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass:
Predicting the co-evolution of event and Knowledge Graphs. FUSION 2016: 98-105 - [c3]Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp:
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. ICHI 2016: 93-101 - [c2]Stephan Baier, Denis Krompass, Volker Tresp:
Learning representations for discrete sensor networks using tensor decompositions. MFI 2016: 84-89 - 2015
- [c1]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. ISWC (1) 2015: 640-655 - [i3]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. CoRR abs/1508.02593 (2015) - [i2]Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß:
Learning with Memory Embeddings. CoRR abs/1511.07972 (2015) - [i1]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß:
Predicting the Co-Evolution of Event and Knowledge Graphs. CoRR abs/1512.06900 (2015)
2000 – 2009
- 2006
- [j1]Werner Kober, Stephan Baier, Ulrich Angeringer, Stefan Doczy, Matthias John, Robert Schaffernak:
Softwarearchitektur integrierter Fahrdynamikregelsysteme am Beispiel des Magna Steyr Global Chassis Controllers. Elektrotech. Informationstechnik 123(10): 437-440 (2006)
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