Stephan Baier

According to our database1, Stephan Baier authored at least 18 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Diophantine approximation with prime denominator in real quadratic function fields.
Finite Fields Their Appl., October, 2023

2020
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., 2020

2019
Learning representations for supervised information fusion using tensor decompositions and deep learning methods.
PhD thesis, 2019

Analyzing Customer Feedback for Product Fit Prediction.
CoRR, 2019

Conformance checking: a state-of-the-art literature review.
Proceedings of the 11th International Conference on Subject-Oriented Business Process Management, 2019

2018
Holistic Representations for Memorization and Inference.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Improving Information Extraction from Images with Learned Semantic Models.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Tensor Decompositions for Modeling Inverse Dynamics.
CoRR, 2017

Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions.
Proceedings of the Semantic Web - ISWC 2017, 2017

Learning with Knowledge Graphs.
Proceedings of the Twelfth International Workshop on Neural-Symbolic Learning and Reasoning, 2017

Embedding Learning for Declarative Memories.
Proceedings of the Semantic Web - 14th International Conference, 2017

Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Learning representations for discrete sensor networks using tensor decompositions.
Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Predicting the co-evolution of event and Knowledge Graphs.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Learning with Memory Embeddings.
CoRR, 2015

Type-Constrained Representation Learning in Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2015, 2015

2006
Softwarearchitektur integrierter Fahrdynamikregelsysteme am Beispiel des Magna Steyr Global Chassis Controllers.
Elektrotech. Informationstechnik, 2006


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