Bernhard Freudenthaler

Software Competence Center Hagenberg (Austria) — Austria

Business, Management and Accounting · Social Sciences

11h-index377citations75works0.02yr avg
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Research Topics

Business Process Modeling and Analysis(19), Semantic Web and Ontologies(17), Service-Oriented Architecture and Web Services(13), Advanced Database Systems and Queries(8), Privacy-Preserving Technologies in Data(7)

Publications75 total

An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning
Algorithms·2023· 2 citedOpen Access
Membership Mappings for Practical Secure Distributed Deep Learning
IEEE Transactions on Fuzzy Systems·2023· 5 cited
Membership-Mappings for Practical Secure Distributed Deep Learning
arXiv (Cornell University)·2022· 2 citedOpen Access
An Untold Tale of Scientific Collaboration: SCCH and AC$$^2$$T
Communications in computer and information science·2022
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data
Communications in computer and information science·2022· 3 cited
KI-Net: AI-Based Optimization in Industrial Manufacturing—A Project Overview
Lecture notes in computer science·2022· 4 cited
Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers
Procedia Computer Science·2022· 25 citedOpen Access
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework.
arXiv (Cornell University)·2021· 1 citedOpen Access
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
arXiv (Cornell University)·2021Open Access
Membership-Mappings for Data Representation Learning.
arXiv (Cornell University)·2021· 1 citedOpen Access
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization
arXiv (Cornell University)·2021· 1 citedOpen Access
Gaussian fuzzy theoretic analysis for variational learning of nested compositions
International Journal of Approximate Reasoning·2021· 13 cited
Deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends
Communications in computer and information science·2021· 4 cited
Decay-parameter Diagnosis in Industrial Domains by Robustness through Isotonic Regression
Procedia Computer Science·2021· 3 citedOpen Access
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization
Communications in computer and information science·2021· 11 cited
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder
Communications in computer and information science·2021· 7 cited
An Explainable Fuzzy Theoretic Nonparametric Deep Model for Stress Assessment Using Heartbeat Intervals Analysis
IEEE Transactions on Fuzzy Systems·2020· 24 cited
An optimal <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si17.svg"><mml:mrow><mml:mo stretchy="true">(</mml:mo><mml:mi>∊</mml:mi><mml:mo>,</mml:mo><mml:mi>δ</mml:mi><mml:mo stretchy="true">)</mml:mo></mml:mrow></mml:math>-differentially private learning of distributed deep fuzzy models
Information Sciences·2020· 15 cited
Differentially Private Learning of Distributed Deep Models
2020· 11 cited
General Model for Tracking Manufacturing Products Using Graph Databases
Lecture notes in business information processing·2020· 5 citedOpen Access
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Frequent Co-authors

Mohit Kumar(14), Jorge Martínez-Gil(12), Felix Kossak(10), Verena Geist(10), Christa Illibauer(9), Christine Natschläger(9), Thomas Ziebermayr(9), Theodorich Kopetzky(9), Klaus‐Dieter Schewe(9), Bernhard Moser(9), Reinhard Stumptner(9), Lukas Fischer(9), Patrick Praher(6), Jan Kubový(5), Josef Küng(4), Weiping Zhang(3), Michael Rossbory(3), Salma Mahmoud(3), Alfred Kinz(3), Theresa Passath(3)