Professor Dr. Stefan Faußer
Professor of Data Analytics
Senior research fellow at the Institute of Digital Innovation (IDI)
Head of the degree programme Künstliche Intelligenz und Informationsmanagement (Data Science Management)
Publikationen
- Finze, Nikola and Jechle, Deinera and Faußer, Stefan A. and Gewald, Heiko
(2024)
How are We Doing Today? Using Natural Speech Analysis
to Assess Older Adults’ Subjective Well-Being. (opens in a new window)
Business & Information Systems Engineering : BISE.
ISSN 1867-0202
view fulltext - Meyer, Dany and Faußer, Stefan A. (2023) A framework for the design, implementation and evaluation of ai based real-life learning scenarios for computer science non-majors. (opens in a new window) In: (Proceedings of the) International Conference on Education, Research and Innovation (ICERI), November, 13-15, 2023, Seville, Spain. ISBN 9788409559428
- Gebele, Jens and Brune, Philipp and Faußer, Stefan A. (2022) Face Value: On the Impact of Annotation (In-)Consistencies and Label Ambiguity in Facial Data on Emotion Recognition. (opens in a new window) In: International Conference on Pattern Recognition (ICPR); 26th Montreal, QC, Canada: IEEE, pp. 2597-2604. ISBN 9781665490627
- Thaler, Fabian and Faußer, Stefan A. and Gewald, Heiko
(2021)
Using NLP to analyze whether customer statements comply with their inner belief. (opens in a new window)
arXiv:2107.11175.
view fulltext - Faußer, Stefan A. and Schwenker, Friedhelm (2015) Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents. (opens in a new window) Neurocomputing, 169. pp. 350-357. ISSN 0925-2312
- Faußer, Stefan A.
(2015)
Large state spaces and large data: Utilizing neural network ensembles in reinforcement learning and kernel methods for clustering. (opens in a new window)
Dissertation thesis, Universität Ulm.
view fulltext - Faußer, Stefan A. and Schwenker, Friedhelm
(2015)
Neural Network Ensembles in Reinforcement Learning. (opens in a new window)
Neural Processing Letters, 41.
pp. 55-69.
ISSN 1573-773X
view fulltext - Faußer, Stefan A. and Schwenker, Friedhelm
(2014)
Selective Neural Network Ensembles in Reinforcement Learning. (opens in a new window)
In: (Proceedings of the) 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 23.-25. April 2014, Bruges, Belgium, pp. 105-110.
ISBN 9782874190957
view fulltext - Faußer, Stefan A. and Schwenker, Friedhelm (2014) Semi-supervised Clustering of Large Data Sets with Kernel Methods. (opens in a new window) Pattern Recognition Letters, 37. pp. 78-84. ISSN 0167-8655
- Faußer, Stefan A. and Schwenker, Friedhelm (2012) Clustering large datasets with kernel methods. (opens in a new window) In: (Proceedings of the) 21st International Conference on Pattern Recognition. (ICPR ’12) ; Vol. 1, November, 11-15th, 2012, Tsukuba, Japan, pp. 501-504. ISBN 9781467322164
- Faußer, Stefan A. and Schwenker, Friedhelm (2012) Semi-Supervised Kernel Clustering with Sample-to-cluster Weights. (opens in a new window) In: (Proceedings of the) 1st IAPR TC3 Workshop, PSL 2011, 15.-16. September 2011, Ulm, Germany, pp. 72-81. ISBN 9783642282577
- Faußer, Stefan A. and Schwenker, Friedhelm (2011) Ensemble Methods for Reinforcement Learning with Function Approximation. (opens in a new window) In: (Proceedings of the) 10th International Workshop on Multiple Classifier Systems (MCS), June, 15-17, 2011, Naples, Italy, pp. 56-65. ISBN 9783642215568
- Faußer, Stefan A. and Schwenker, Friedhelm (2010) Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts. (opens in a new window) In: (Proceedings of the) 20th International Conference on Pattern Recognition (ICPR), August, 23-26, 2010, Istanbul, Turkey, pp. 2925-2928. ISBN 9781424475421
- Faußer, Stefan A. and Schwenker, Friedhelm (2010) Parallelized Kernel Patch Clustering. (opens in a new window) In: (Proceedings of the) 4th IAPR TC3 Conference on Artificial Neural Networks in Pattern Recognition (ANNPR), April, 11-13, 2010, Cairo, Egypt, pp. 131-140. ISBN 9783642121586
- Faußer, Stefan A. and Schwenker, Friedhelm (2008) Neural Approximation of Monte CarloPolicy Evaluation Deployed in Connect Four. (opens in a new window) In: (Proceedings of the) 3rd IAPR Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR), July, 2-4, 2008, Paris, France, pp. 90-100. ISBN 9783540699385
