Folgen
Stefan Faußer
Stefan Faußer
Professor of Data Analytics, Neu-Ulm University of Applied Science (HNU)
Bestätigte E-Mail-Adresse bei hnu.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Neural network ensembles in reinforcement learning
S Faußer, F Schwenker
Neural Processing Letters 41, 55-69, 2015
652015
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
282015
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
How are We Doing Today? Using Natural Speech Analysis to Assess Older Adults’ Subjective Well-Being
N Finze, D Jechle, S Faußer, H Gewald
Business & Information Systems Engineering, 1-14, 2024
2024
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–18