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Stefan Faußer
Stefan Faußer
Professor of Data Analytics, Neu-Ulm University of Applied Science (HNU)
Verified email at hnu.de - Homepage
Title
Cited by
Cited by
Year
Neural network ensembles in reinforcement learning
S Faußer, F Schwenker
Neural Processing Letters 41, 55-69, 2015
632015
Ensemble methods for reinforcement learning with function approximation
S Faußer, F Schwenker
International Workshop on Multiple Classifier Systems, 56-65, 2011
382011
Selective neural network ensembles in reinforcement learning: taking the advantage of many agents
S Faußer, F Schwenker
Neurocomputing 169, 350-357, 2015
262015
Predicting social perception from faces: A deep learning approach
U Messer, S Fausser
arXiv preprint arXiv:1907.00217, 2019
142019
Semi-supervised clustering of large data sets with kernel methods
S Faußer, F Schwenker
Pattern recognition letters 37, 78-84, 2014
112014
Semi-Supervised kernel clustering with sample-to-cluster weights
S Faußer, F Schwenker
IAPR International Workshop on Partially Supervised Learning, 72-81, 2011
102011
Learning a strategy with neural approximated temporal-difference methods in english draughts
S Faußer, F Schwenker
2010 20th International Conference on Pattern Recognition, 2925-2928, 2010
102010
Neural approximation of monte carlo policy evaluation deployed in connect four
S Faußer, F Schwenker
Artificial Neural Networks in Pattern Recognition: Third IAPR Workshop …, 2008
92008
Clustering large datasets with kernel methods
S Fausser, F Schwenker
Pattern Recognition (ICPR), 2012 21st International Conference on, 501-504, 2012
8*2012
Parallelized kernel patch clustering
S Faußer, F Schwenker
Artificial Neural Networks in Pattern Recognition: 4th IAPR TC3 Workshop …, 2010
62010
Selective Neural Network Ensembles in Reinforcement Learning
S Faußer, F Schwenker
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2014
32014
Face value: on the impact of annotation (in-) consistencies and label ambiguity in facial data on emotion recognition
J Gebele, P Brune, S Faußer
2022 26th International Conference on Pattern Recognition (ICPR), 2597-2604, 2022
12022
Using NLP to analyze whether customer statements comply with their inner belief
F Thaler, S Faußer, H Gewald
arXiv preprint arXiv:2107.11175, 2021
12021
Assessing Delivery Commitments in Supply Chains: A Matrix-Based Framework
M Vangeepuram, S Faußer, H Ehm, M Ratusny, S Heilmayer, TL Welling
2023 Winter Simulation Conference (WSC), 2182-2193, 2023
2023
A FRAMEWORK FOR THE DESIGN, IMPLEMENTATION AND EVALUATION OF AI BASED REAL-LIFE LEARNING SCENARIOS FOR COMPUTER SCIENCE NON-MAJORS
D Meyer, S Fausser
ICERI2022 Proceedings, 7499-7505, 2022
2022
Machine Learning Infusion in Service Processes
U Messer, S Faußer
Automatisierung und Personalisierung von Dienstleistungen: Methoden …, 2020
2020
Large state spaces and large data: Utilizing neural network ensembles in reinforcement learning and kernel methods for clustering
SA Faußer
Universität Ulm, 2015
2015
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