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Books and Theses
- 2015
[b1]Stefan Faußer:
Large state spaces and large data: Utilizing neural network ensembles in reinforcement learning and kernel methods for clustering. University of Ulm, 2015
Journal Articles
- 2024
- [j4]Nikola Finze, Deinera Jechle, Stefan Faußer, Heiko Gewald:
How are We Doing Today? Using Natural Speech Analysis to Assess Older Adults' Subjective Well-Being. Bus. Inf. Syst. Eng. 66(3): 321-334 (2024) - 2015
- [j3]Stefan Faußer
, Friedhelm Schwenker:
Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents. Neurocomputing 169: 350-357 (2015) - [j2]Stefan Faußer, Friedhelm Schwenker:
Neural Network Ensembles in Reinforcement Learning. Neural Process. Lett. 41(1): 55-69 (2015) - 2014
- [j1]Stefan Faußer, Friedhelm Schwenker:
Semi-supervised clustering of large data sets with kernel methods. Pattern Recognit. Lett. 37: 78-84 (2014)
Conference and Workshop Papers
- 2023
- [c9]Madhurima Vangeepuram, Stefan Faußer, Hans Ehm, Marco Ratusny, Stefan Heilmayer, Tobias Leander Welling:
Assessing Delivery Commitments in Supply Chains: A Matrix-Based Framework. WSC 2023: 2182-2193 - 2022
- [c8]Jens Gebele, Philipp Brune, Stefan Faußer:
Face Value: On the Impact of Annotation (In-)Consistencies and Label Ambiguity in Facial Data on Emotion Recognition. ICPR 2022: 2597-2604 - 2014
- [c7]Stefan Faußer, Friedhelm Schwenker:
Selective Neural Network Ensembles in Reinforcement Learning. ESANN 2014 - 2012
- [c6]Stefan Faußer, Friedhelm Schwenker:
Clustering large datasets with kernel methods. ICPR 2012: 501-504 - 2011
- [c5]Stefan Faußer, Friedhelm Schwenker:
Ensemble Methods for Reinforcement Learning with Function Approximation. MCS 2011: 56-65 - [c4]Stefan Faußer, Friedhelm Schwenker:
Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights. PSL 2011: 72-81 - 2010
- [c3]Stefan Faußer, Friedhelm Schwenker:
Parallelized Kernel Patch Clustering. ANNPR 2010: 131-140 - [c2]Stefan Faußer, Friedhelm Schwenker:
Learning a Strategy with Neural Approximated Temporal-Difference Methods in English Draughts. ICPR 2010: 2925-2928 - 2008
- [c1]Stefan Faußer, Friedhelm Schwenker:
Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four. ANNPR 2008: 90-100
Informal and Other Publications
- 2021
- [i1]Fabian Thaler, Stefan Faußer, Heiko Gewald:
Put your money where your mouth is: Using AI voice analysis to detect whether spoken arguments reflect the speaker's true convictions. CoRR abs/2107.11175 (2021)
Coauthor Index
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