Bernhard Moser

Orcid: 0000-0001-8373-7523

Affiliations:
  • Software Competence Center Hagenberg GmbH, Austria


According to our database1, Bernhard Moser authored at least 95 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Rethinking data augmentation for adversarial robustness.
Inf. Sci., January, 2024

On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach.
J. Artif. Intell. Res., 2024

Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds.
Neurocomputing, 2024

On the Sampling Sparsity of Neuromorphic Analog-to-Spike Conversion based on Leaky Integrate-and-Fire.
CoRR, 2024

On the Solvability of the {XOR} Problem by Spiking Neural Networks.
CoRR, 2024

Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent.
CoRR, 2024

On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals.
CoRR, 2024

Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry.
Proceedings of the Software Quality as a Foundation for Security, 2024

On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SNN Architecture for Differential Time Encoding Using Decoupled Processing Time.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning.
ACM Comput. Surv., 2023

Representing Piecewise Linear Functions by Functions with Small Arity.
CoRR, 2023

Quantization in Spiking Neural Networks.
CoRR, 2023

Kernel Affine Hull Machines for Differentially Private Learning.
CoRR, 2023

An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning.
Algorithms, 2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Secure Federated Learning with Kernel Affine Hull Machines.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Measuring Overhead Costs of Federated Learning Systems by Eavesdropping.
Proceedings of the Database and Expert Systems Applications - DEXA 2023 Workshops, 2023

2022
Special Issue on Machine Learning and Knowledge Graphs.
Future Gener. Comput. Syst., 2022

A Systematic Mapping Study of Predictive Maintenance in SMEs.
IEEE Access, 2022

Tessellation-Filtering ReLU Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing.
Proceedings of Interoperability for Enterprise Systems and Applications Workshops co-located with 11th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2022), 2022

Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

Unboundedness of Linear Regions of Deep ReLU Neural Networks.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

2021
AI System Engineering - Key Challenges and Lessons Learned.
Mach. Learn. Knowl. Extr., 2021

An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models.
Inf. Sci., 2021

Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework.
CoRR, 2021

Membership-Mappings for Data Representation Learning.
CoRR, 2021

On the truncated Hausdorff moment problem under Sobolev regularity conditions.
Appl. Math. Comput., 2021

On generalization in moment-based domain adaptation.
Ann. Math. Artif. Intell., 2021

The balancing principle for parameter choice in distance-regularized domain adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization.
Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020
Domain adaptation for regression under Beer-Lambert's law.
Knowl. Based Syst., 2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis.
CoRR, 2020

ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy.
CoRR, 2020

Learning Bounds for Moment-Based Domain Adaptation.
CoRR, 2020

Differentially Private Learning of Distributed Deep Models.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Beyond federated learning: On confidentiality-critical machine learning applications in industry.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Variational Optimization of Informational Privacy.
Proceedings of the Database and Expert Systems Applications, 2020

Applying AI in Practice: Key Challenges and Lessons Learned.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019
On Quasi-Isometry of Threshold-Based Sampling.
IEEE Trans. Signal Process., 2019

DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data.
J. Comput. Biol., 2019

Robust unsupervised domain adaptation for neural networks via moment alignment.
Inf. Sci., 2019

Domain-Invariant Regression Under Beer-Lambert's Law.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

An Event-Driven Approach for Time-Domain Recognition of Spoken English Letters.
Proceedings of the 5th International Conference on Event-Based Control, 2019

Tradeoff Analysis of Discrepancy-Based Adaptive Thresholding Approach.
Proceedings of the 5th International Conference on Event-Based Control, 2019

Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning.
Proceedings of the Database and Expert Systems Applications, 2019

Optimization and deployment of CNNs at the edge: the ALOHA experience.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data.
CoRR, 2018

Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project.
Proceedings of the 30th International Conference on Microelectronics, 2018

ALOHA: an architectural-aware framework for deep learning at the edge.
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018

2017
Similarity Recovery From Threshold-Based Sampling Under General Conditions.
IEEE Trans. Signal Process., 2017

Estimating the signal reconstruction error from threshold-based sampling without knowing the original signal.
Proceedings of the 3rd International Conference on Event-Based Control, 2017

2016
Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast.
Proceedings of the Image Quality and System Performance XIII, Electronic Imaging 2016, 2016

Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos.
Proceedings of the Stereoscopic Displays and Applications XXVII, 2016

On preserving metric properties of integrate-and-fire sampling.
Proceedings of the Second International Conference on Event-based Control, 2016

2015
Trifocal system for high-quality inter-camera mapping and virtual view synthesis.
Proceedings of the 2015 International Conference on 3D Imaging, 2015

Stability of threshold-based sampling as metric problem.
Proceedings of the International Conference on Event-based Control, 2015

Matching event sequences approach based on Weyl's discrepancy norm.
Proceedings of the International Conference on Event-based Control, 2015

2014
On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling.
IEEE Trans. Signal Process., 2014

The Range of a Simple Random Walk on Z: An Elementary Combinatorial Approach.
Electron. J. Comb., 2014

2013
On Approximate Nearest Neighbour Field Algorithms in Template Matching for Surface Quality Inspection.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

On the Relevance of Discrepancy Norm for Similarity-Based Clustering of Delta-Event Sequences.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Periodicity estimation of nearly regular textures based on discrepancy norm.
Proceedings of the Image Processing: Machine Vision Applications VI, 2013

2012
Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs.
J. Electronic Imaging, 2012

Image processing for three-dimensional scans generated by time-of-flight range cameras.
J. Electronic Imaging, 2012

Geometric Characterization of Weyl's Discrepancy Norm in Terms of Its n-Dimensional Unit Balls.
Discret. Comput. Geom., 2012

Discrepancy Norm as Fitness Function for Defect Detection on Regularly Textured Surfaces.
Proceedings of the Pattern Recognition, 2012

2011
A Similarity Measure for Image and Volumetric Data Based on Hermann Weyl's Discrepancy.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

On a Non-monotonicity Effect of Similarity Measures.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

GPU-Based Image Processing Use Cases: A High-Level Approach.
Proceedings of the Applications, Tools and Techniques on the Road to Exascale Computing, Proceedings of the conference ParCo 2011, 31 August, 2011

2010
On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
On the compactness of admissible transformations of fuzzy partitions in terms of T-equivalence relations.
Fuzzy Sets Syst., 2009

A Data-Mining Approach to 3D Realistic Render Setup Assistance.
Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

Parallel, Distributed, and Grid Computing.
Proceedings of the Hagenberg Research, 2009

Data-Driven and Knowledge-Based Modeling.
Proceedings of the Hagenberg Research, 2009

2008
On Preprocessing Multi-channel Sensor Data for Online Process Monitoring.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

On the Potential of Hermann Weyl's Discrepancy Norm for Texture Analysis.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

Denoising techniques for raw 3D data of TOF cameras based on clustering and wavelets.
Proceedings of the Conference on Three-Dimensional Image Capture and Applications 2008, 2008

2006
On Representing and Generating Kernels by Fuzzy Equivalence Relations.
J. Mach. Learn. Res., 2006

On the T.
Fuzzy Sets Syst., 2006

Correspondences Between Fuzzy Equivalence Relations and Kernels: Theoretical Results and Potential Applications.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2002
Fuzzy controllers with conditionally firing rules.
IEEE Trans. Fuzzy Syst., 2002

Stability of interpolative fuzzy KH controllers.
Fuzzy Sets Syst., 2002

2000
A relationship between equality relations and the T-redundancy of fuzzy partitions and its application to Sugeno controllers.
Fuzzy Sets Syst., 2000

1999
Convex combinations in terms of triangular norms: A characterization of idempotent, bisymmetrical and self-dual compensatory operators.
Fuzzy Sets Syst., 1999

Sugeno controllers with a bounded number of rules are nowhere dense.
Fuzzy Sets Syst., 1999

Which triangular norms are convenient for fuzzy controllers?.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

1997
On the redundancy of fuzzy partitions.
Fuzzy Sets Syst., 1997

1993
Workshop for Doctoral students in Fuzzy-Based Systems.
Proceedings of the Fuzzy Logic in Artificial Intelligence, 1993


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