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Bernhard Freudenthaler
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A rigorous semantics for BPMN 2.0 process diagrams
F Kossak, C Illibauer, V Geist, J Kubovy, C Natschläger, T Ziebermayr, ...
A rigorous semantics for BPMN 2.0 process diagrams, 29-152, 2014
782014
Hagenberg business process modelling method
F Kossak, C Illibauer, V Geist, C Natschläger, T Ziebermayr, ...
Springer International Publishing, 2016
182016
Deriving an optimal noise adding mechanism for privacy-preserving machine learning
M Kumar, M Rossbory, BA Moser, B Freudenthaler
International Conference on Database and Expert Systems Applications, 108-118, 2019
142019
Fuzzy membership functional analysis for nonparametric deep models of image features
M Kumar, B Freudenthaler
IEEE Transactions on Fuzzy Systems 28 (12), 3345-3359, 2019
132019
Optional activities in process flows
C Natschläger, V Geist, F Kossak, B Freudenthaler
EMISA 2012–Der Mensch im Zentrum der Modellierung, 2012
132012
Modeling user behavior through electricity consumption patterns
J Martinez-Gil, B Freudenthaler, T Natschlaeger
2013 24th International Workshop on Database and Expert Systems Applications …, 2013
122013
Recommendation of job offers using random forests and support vector machines
J Martinez-Gil, B Freudenthaler, T Natschläger
Proceedings of the of the EDBT/ICDT joint conference, 2018
102018
Case-based decision support for bridge monitoring
B Freudenthaler, G Gutenbrunner, R Stumptner, J Küng
2008 The Third International Multi-Conference on Computing in the Global …, 2008
102008
Case-based Reasoning (CBR): Grundlagen und ausgewählte Anwendungsgebiete des fallbasierten Schließens
B Freudenthaler
na, 2006
102006
An explainable fuzzy theoretic nonparametric deep model for stress assessment using heartbeat intervals analysis
M Kumar, W Zhang, M Weippert, B Freudenthaler
IEEE Transactions on Fuzzy Systems 29 (12), 3873-3886, 2020
82020
Realistic user behavior modeling for energy saving in residential buildings
J Martinez-Gil, G Chasparis, B Freudenthaler, T Natschlaeger
2014 25th International Workshop on Database and Expert Systems Applications …, 2014
82014
A proposal for ontology-based integration of heterogeneous decision support systems for structural health monitoring
S Anderlik, R Stumptner, B Freudenthaler, M Fritz
Proceedings of the 12th International Conference on Information Integration …, 2010
82010
Gaussian fuzzy theoretic analysis for variational learning of nested compositions
M Kumar, S Singh, B Freudenthaler
International Journal of Approximate Reasoning 131, 1-29, 2021
72021
Differentially private learning of distributed deep models
M Kumar, M Rossbory, BA Moser, B Freudenthaler
Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation …, 2020
72020
An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models
M Kumar, M Rossbory, BA Moser, B Freudenthaler
Information Sciences 546, 87-120, 2021
62021
Horizontal business process model integration
KD Schewe, V Geist, C Illibauer, F Kossak, C Natschläger-Carpella, ...
Transactions on Large-Scale Data-and Knowledge-Centered Systems Xviii, 30-52, 2015
62015
BIAccelerator–a template-based approach for rapid ETL development
R Stumptner, B Freudenthaler, M Krenn
International Symposium on Methodologies for Intelligent Systems, 435-444, 2012
62012
On similarity in case-based reasoning for structural health monitoring
R Stumptner, B Freudenthaler, J Küng
International Conference on Computer Aided Systems Theory, 231-238, 2009
62009
Case-based Reasoning for Structural Health Monitoring
B Freudenthaler, R Stumptner, E Forstner, J Küng
4th European Workshop on Structural Health Monitoring, 2008
62008
VCDECIS--Knowledge Online Advanced Content Management Using a Semantic Network
E Forstner, R Stumptner, B Freudenthaler, J Kung
18th International Workshop on Database and Expert Systems Applications …, 2007
62007
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Articles 1–20