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ORCIDBernhard Moser 0001
Bernhard Alois Moser
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- affiliation: Software Competence Center Hagenberg GmbH, Austria
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2020 – today
- 2024
[j31]Bernhard Alois Moser
, Michael Lunglmayr:
Spiking neural networks in the Alexiewicz topology: A new perspective on analysis and error bounds. Neurocomputing 601: 128190 (2024)- [j30]Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer:
Rethinking data augmentation for adversarial robustness. Inf. Sci. 654: 119838 (2024) - [j29]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach. J. Artif. Intell. Res. 79: 515-567 (2024) - [c48]Daniel Windhager, Bernhard Alois Moser, Michael Lunglmayr:
SNN Architecture for Differential Time Encoding Using Decoupled Processing Time. AICAS 2024: 26-30 - [c47]Bernhard Heinzl, Agastya Silvina, Franz Krause, Nicole Schwarz, Kabul Kurniawan, Elmar Kiesling, Mario Pichler, Bernhard Moser:
Towards Integrating Knowledge Graphs into Process-Oriented Human-AI Collaboration in Industry. SWQD 2024: 76-87 - [i16]Bernhard Alois Moser, Michael Lunglmayr:
On Leaky-Integrate-and Fire as Spike-Train-Quantization Operator on Dirac-Superimposed Continuous-Time Signals. CoRR abs/2402.07954 (2024) - [i15]Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser:
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent. CoRR abs/2407.04335 (2024) - 2023
- [j28]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
An Information Theoretic Approach to Privacy-Preserving Interpretable and Transferable Learning. Algorithms 16(9): 450 (2023) - [j27]Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli:
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. 55(13s): 294:1-294:39 (2023) - [c46]Rainer Meindl, Bernhard Alois Moser:
Measuring Overhead Costs of Federated Learning Systems by Eavesdropping. DEXA Workshops 2023: 33-42 - [c45]Mohit Kumar, Bernhard Moser, Lukas Fischer:
Secure Federated Learning with Kernel Affine Hull Machines. ESANN 2023 - [c44]Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger:
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR 2023 - [e5]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Maqbool Khan:
Database and Expert Systems Applications - DEXA 2023 Workshops - 34th International Conference, DEXA 2023, Penang, Malaysia, August 28-30, 2023, Proceedings. Communications in Computer and Information Science 1872, Springer 2023, ISBN 978-3-031-39688-5 [contents] - [i14]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer:
Kernel Affine Hull Machines for Differentially Private Learning. CoRR abs/2304.01300 (2023) - [i13]Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger:
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR abs/2305.01281 (2023) - [i12]Bernhard Alois Moser, Michael Lunglmayr:
Spiking Neural Networks in the Alexiewicz Topology: A New Perspective on Analysis and Error Bounds. CoRR abs/2305.05772 (2023) - [i11]Bernhard Alois Moser, Michael Lunglmayr:
Quantization in Spiking Neural Networks. CoRR abs/2305.08012 (2023) - [i10]Christoph Koutschan, Bernhard Moser, Anton Ponomarchuk, Josef Schicho:
Representing Piecewise Linear Functions by Functions with Small Arity. CoRR abs/2305.16933 (2023) - 2022
- [j26]Maqbool Khan, Arshad Ahmad, Florian Sobieczky, Mario Pichler, Bernhard Alois Moser, Ivo Bukovsky:
A Systematic Mapping Study of Predictive Maintenance in SMEs. IEEE Access 10: 88738-88749 (2022) - [j25]Mehwish Alam, Anna Fensel, Jorge Martínez Gil, Bernhard Moser, Diego Reforgiato Recupero, Harald Sack:
Special Issue on Machine Learning and Knowledge Graphs. Future Gener. Comput. Syst. 129: 50-53 (2022) - [c43]Anton Ponomarchuk, Christoph Koutschan, Bernhard Moser:
Unboundedness of Linear Regions of Deep ReLU Neural Networks. DEXA Workshops 2022: 3-10 - [c42]Muhammad Qasim, Maqbool Khan, Waqar Mehmood, Florian Sobieczky, Mario Pichler, Bernhard Moser:
A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME. DEXA Workshops 2022: 22-31 - [c41]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Towards Practical Secure Privacy-Preserving Machine (Deep) Learning with Distributed Data. DEXA Workshops 2022: 55-66 - [c40]Philipp Haindl, Georg Buchgeher, Maqbool Khan, Bernhard Moser:
Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing. ICSE (NIER) 2022: 96-100 - [c39]Thomas Hoch, Bernhard Heinzl, Gerald Czech, Maqbool Khan, Philipp Waibel, Stefan Bachhofner, Elmar Kiesling, Bernhard Moser:
Teaming.AI: Enabling Human-AI Teaming Intelligence in Manufacturing. I-ESA Workshops 2022 - [c38]Bernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan:
Tessellation-Filtering ReLU Neural Networks. IJCAI 2022: 3335-3341 - [e4]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Alfred Taudes, Atif Mashkoor, Johannes Sametinger, Jorge Martínez Gil, Florian Sobieczky, Lukas Fischer, Rudolf Ramler, Maqbool Khan, Gerald Czech:
Database and Expert Systems Applications - DEXA 2022 Workshops - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings. Communications in Computer and Information Science 1633, Springer 2022, ISBN 978-3-031-14342-7 [contents] - [i9]Philipp Haindl, Georg Buchgeher, Maqbool Khan, Bernhard Moser:
Towards a Reference Software Architecture for Human-AI Teaming in Smart Manufacturing. CoRR abs/2201.04876 (2022) - [i8]Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli:
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR abs/2205.01992 (2022) - 2021
- [j24]Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz:
On generalization in moment-based domain adaptation. Ann. Math. Artif. Intell. 89(3-4): 333-369 (2021) - [j23]Werner Zellinger, Bernhard Alois Moser:
On the truncated Hausdorff moment problem under Sobolev regularity conditions. Appl. Math. Comput. 400: 126057 (2021) - [j22]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
An optimal (∊, δ)-differentially private learning of distributed deep fuzzy models. Inf. Sci. 546: 87-120 (2021) - [j21]Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser:
AI System Engineering - Key Challenges and Lessons Learned. Mach. Learn. Knowl. Extr. 3(1): 56-83 (2021) - [c37]Michael Lunglmayr, Günther Lindorfer, Bernhard Moser:
Robust and Efficient Bio-Inspired Data-Sampling Prototype for Time-Series Analysis. DEXA Workshops 2021: 119-126 - [c36]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization. DEXA Workshops 2021: 127-137 - [c35]Mohit Kumar, Bernhard Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder. DEXA Workshops 2021: 138-147 - [c34]Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser:
The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS 2021: 20798-20811 - [e3]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martínez Gil, Lukas Fischer, Gerald Czech, Florian Sobieczky, Sohail Khan:
Database and Expert Systems Applications - DEXA 2021 Workshops - BIOKDD, IWCFS, MLKgraphs, AI-CARES, ProTime, AISys 2021, Virtual Event, September 27-30, 2021, Proceedings. Communications in Computer and Information Science 1479, Springer 2021, ISBN 978-3-030-87100-0 [contents] - [i7]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Membership-Mappings for Data Representation Learning. CoRR abs/2104.07060 (2021) - [i6]Mohit Kumar, Bernhard Alois Moser, Lukas Fischer, Bernhard Freudenthaler:
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for a Novel Trustworthy AI Framework. CoRR abs/2106.06046 (2021) - 2020
- [j20]Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Alois Moser:
Domain adaptation for regression under Beer-Lambert's law. Knowl. Based Syst. 210: 106447 (2020) - [c33]Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser:
Applying AI in Practice: Key Challenges and Lessons Learned. CD-MAKE 2020: 451-471 - [c32]Mohit Kumar, David Brunner, Bernhard Alois Moser, Bernhard Freudenthaler:
Variational Optimization of Informational Privacy. DEXA Workshops 2020: 32-47 - [c31]Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser:
Beyond federated learning: On confidentiality-critical machine learning applications in industry. ISM 2020: 734-743 - [c30]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
Differentially Private Learning of Distributed Deep Models. UMAP (Adjunct Publication) 2020: 193-200 - [e2]Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Lukas Fischer, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martínez Gil:
Database and Expert Systems Applications - DEXA 2020 International Workshops BIOKDD, IWCFS and MLKgraphs, Bratislava, Slovakia, September 14-17, 2020, Proceedings. Communications in Computer and Information Science 1285, Springer 2020, ISBN 978-3-030-59027-7 [contents] - [i5]Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz:
Learning Bounds for Moment-Based Domain Adaptation. CoRR abs/2002.08260 (2020) - [i4]Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, Bernhard Moser:
ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy. CoRR abs/2005.09903 (2020) - [i3]Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer:
On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR abs/2007.02650 (2020)
2010 – 2019
- 2019
- [j19]Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Robust unsupervised domain adaptation for neural networks via moment alignment. Inf. Sci. 483: 174-191 (2019) - [j18]Hamid Eghbal-Zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser:
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. 26(6): 572-596 (2019) - [j17]Bernhard Alois Moser, Michael Lunglmayr:
On Quasi-Isometry of Threshold-Based Sampling. IEEE Trans. Signal Process. 67(14): 3832-3841 (2019) - [c29]Paolo Meloni, Daniela Loi, Paola Busia, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Todor P. Stefanov, Svetlana Minakova, Francesco Conti, Luca Benini, Maura Pintor, Battista Biggio, Bernhard Moser, Natalia Shepeleva, Nikos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
Optimization and deployment of CNNs at the edge: the ALOHA experience. CF 2019: 326-332 - [c28]Mohit Kumar, Michael Rossbory, Bernhard Alois Moser, Bernhard Freudenthaler:
Deriving an Optimal Noise Adding Mechanism for Privacy-Preserving Machine Learning. DEXA Workshops 2019: 108-118 - [c27]Michael Lunglmayr, Saeed Mian Qaisar, Bernhard Alois Moser:
Tradeoff Analysis of Discrepancy-Based Adaptive Thresholding Approach. EBCCSP 2019: 1-4 - [c26]Saeed Mian Qaisar, S. Laskar, Michael Lunglmayr, Bernhard Alois Moser, R. Abdulbaqi, R. Banafia:
An Event-Driven Approach for Time-Domain Recognition of Spoken English Letters. EBCCSP 2019: 1-4 - [c25]Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser:
Domain-Invariant Regression Under Beer-Lambert's Law. ICMLA 2019: 581-586 - [e1]Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martínez Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer:
Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings. Communications in Computer and Information Science 1062, Springer 2019, ISBN 978-3-030-27683-6 [contents] - 2018
- [c24]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Bernhard Moser, Natalia Shepeleva, Francesco Conti, Luca Benini, Oscar Ripolles, David Solans, Maura Pintor, Battista Biggio, Todor P. Stefanov, Svetlana Minakova, Nikolaos Fragoulis, Ilias Theodorakopoulos, Michael Masin, Francesca Palumbo:
ALOHA: an architectural-aware framework for deep learning at the edge. INTESA@ESWEEK 2018: 19-26 - [c23]Paolo Meloni, Daniela Loi, Gianfranco Deriu, Andy D. Pimentel, Dolly Sapra, Maura Pintor, Battista Biggio, Oscar Ripolles, David Solans, Francesco Conti, Luca Benini, Todor P. Stefanov, Svetlana Minakova, Bernhard Moser, Natalia Shepeleva, Michael Masin, Francesca Palumbo, Nikos Fragoulis, Ilias Theodorakopoulos:
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project. ICM 2018: 52-55 - [i2]Hamid Eghbal-zadeh, Lukas Fischer, Niko Popitsch, Florian Kromp, Sabine Taschner-Mandl, Khaled Koutini, Teresa Gerber, Eva Bozsaky, Peter F. Ambros, Inge M. Ambros, Gerhard Widmer, Bernhard Alois Moser:
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. CoRR abs/1806.08840 (2018) - 2017
- [j16]Bernhard Alois Moser:
Similarity Recovery From Threshold-Based Sampling Under General Conditions. IEEE Trans. Signal Process. 65(17): 4645-4654 (2017) - [c22]Bernhard Alois Moser:
Estimating the signal reconstruction error from threshold-based sampling without knowing the original signal. EBCCSP 2017: 1-4 - [i1]Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. CoRR abs/1711.06114 (2017) - 2016
- [c21]Bernhard Alois Moser:
On preserving metric properties of integrate-and-fire sampling. EBCCSP 2016: 1-7 - [c20]Werner Zellinger, Bernhard Moser, Ayadi Chouikhi, Florian H. Seitner, Matej Nezveda, Margrit Gelautz:
Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos. SD&A 2016: 1-6 - [c19]Werner Zellinger, Bernhard Moser:
Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast. IQSP 2016: 1-8 - 2015
- [c18]Bernhard Alois Moser:
Matching event sequences approach based on Weyl's discrepancy norm. EBCCSP 2015: 1-5 - [c17]Bernhard Alois Moser:
Stability of threshold-based sampling as metric problem. EBCCSP 2015: 1-8 - [c16]Florian H. Seitner, Matej Nezveda, Margrit Gelautz, Georg Braun, Christian Kapeller, Werner Zellinger, Bernhard Moser:
Trifocal system for high-quality inter-camera mapping and virtual view synthesis. IC3D 2015: 1-8 - 2014
- [j15]Bernhard Alois Moser:
The Range of a Simple Random Walk on Z: An Elementary Combinatorial Approach. Electron. J. Comb. 21(4): 4 (2014) - [j14]Bernhard Alois Moser, Thomas Natschläger:
On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling. IEEE Trans. Signal Process. 62(8): 1987-1999 (2014) - 2013
- [c15]Gernot Stübl, Peter Haslinger, Volkmar Wieser, Josef Scharinger, Bernhard Moser:
Periodicity estimation of nearly regular textures based on discrepancy norm. Image Processing: Machine Vision Applications 2013: 866106 - [c14]Gernot Stübl, Bernhard Moser, Josef Scharinger:
On Approximate Nearest Neighbour Field Algorithms in Template Matching for Surface Quality Inspection. EUROCAST (2) 2013: 79-86 - [c13]Bernhard Moser, Florian Eibensteiner, Jürgen Kogler, Gernot Stübl:
On the Relevance of Discrepancy Norm for Similarity-Based Clustering of Delta-Event Sequences. EUROCAST (1) 2013: 84-91 - 2012
- [j13]Bernhard Alois Moser:
Geometric Characterization of Weyl's Discrepancy Norm in Terms of Its n-Dimensional Unit Balls. Discret. Comput. Geom. 48(4): 793-806 (2012) - [j12]Volkmar Wieser, Clemens Grelck, Peter Haslinger, Jing Guo, Filip Korzeniowski, Robert Bernecky, Bernhard Moser, Sven-Bodo Scholz:
Combining high productivity and high performance in image processing using Single Assignment C on multi-core CPUs and many-core GPUs. J. Electronic Imaging 21(2): 021116 (2012) - [j11]Holger Schöner, Frank Bauer, Adrian A. Dorrington, Bettina Heise, Volkmar Wieser, Andrew D. Payne, Michael J. Cree, Bernhard Moser:
Image processing for three-dimensional scans generated by time-of-flight range cameras. J. Electronic Imaging 21(2): 023012 (2012) - [c12]Gernot Stübl, Jean-Luc Bouchot, Peter Haslinger, Bernhard Moser:
Discrepancy Norm as Fitness Function for Defect Detection on Regularly Textured Surfaces. DAGM/OAGM Symposium 2012: 428-437 - 2011
- [j10]Bernhard Moser:
A Similarity Measure for Image and Volumetric Data Based on Hermann Weyl's Discrepancy. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2321-2329 (2011) - [c11]Volkmar Wieser, Clemens Grelck, Holger Schöner, Peter Haslinger, Károly Bósa, Bernhard Moser:
GPU-Based Image Processing Use Cases: A High-Level Approach. PARCO 2011: 199-206 - [c10]Bernhard Moser, Gernot Stübl, Jean-Luc Bouchot:
On a Non-monotonicity Effect of Similarity Measures. SIMBAD 2011: 46-60 - 2010
- [c9]Jean-Luc Bouchot, Johannes Himmelbauer, Bernhard Moser:
On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j9]Bernhard Moser:
On the compactness of admissible transformations of fuzzy partitions in terms of T-equivalence relations. Fuzzy Sets Syst. 160(1): 95-106 (2009) - [c8]Carlos González-Morcillo, Lorenzo Manuel López-López, José Jesús Castro Sanchez, Bernhard Moser:
A Data-Mining Approach to 3D Realistic Render Setup Assistance. IAAI 2009 - [p2]Erich-Peter Klement, Edwin Lughofer, Johannes Himmelbauer, Bernhard Moser:
Data-Driven and Knowledge-Based Modeling. Hagenberg Research 2009: 237-279 - [p1]Wolfgang Schreiner, Károly Bósa, Andreas Langegger, Thomas Leitner, Bernhard Moser, Szilárd Páll, Volkmar Wieser, Wolfram Wöß:
Parallel, Distributed, and Grid Computing. Hagenberg Research 2009: 333-378 - 2008
- [c7]Bernhard Moser, Frank Bauer, Peter Elbau, Bettina Heise, Holger Schöner:
Denoising techniques for raw 3D data of TOF cameras based on clustering and wavelets. Three-Dimensional Image Capture and Applications 2008: 68050E - [c6]Bernhard Moser, Peter Haslinger, Tomas Kazmar:
On the Potential of Hermann Weyl's Discrepancy Norm for Texture Analysis. CIMCA/IAWTIC/ISE 2008: 187-191 - [c5]Holger Schöner, Bernhard Moser, Edwin Lughofer:
On Preprocessing Multi-channel Sensor Data for Online Process Monitoring. CIMCA/IAWTIC/ISE 2008: 414-419 - [c4]Holger Schöner, Bernhard Moser, Adrian A. Dorrington, Andrew D. Payne, Michael J. Cree, Bettina Heise, Frank Bauer:
A Clustering Based Denoising Technique for Range Images of Time of Flight Cameras. CIMCA/IAWTIC/ISE 2008: 999-1004 - 2006
- [j8]Bernhard Moser:
On the T. Fuzzy Sets Syst. 157(13): 1787-1796 (2006) - [j7]Bernhard Moser:
On Representing and Generating Kernels by Fuzzy Equivalence Relations. J. Mach. Learn. Res. 7: 2603-2620 (2006) - [c3]Bernhard Moser, Ulrich Bodenhofer:
Correspondences Between Fuzzy Equivalence Relations and Kernels: Theoretical Results and Potential Applications. FUZZ-IEEE 2006: 2171-2177 - 2002
- [j6]Domonkos Tikk, István Joó, László T. Kóczy, Péter Várlaki, Bernhard Moser, Tamás D. Gedeon:
Stability of interpolative fuzzy KH controllers. Fuzzy Sets Syst. 125(1): 105-119 (2002) - [j5]Bernhard Moser, Mirko Navara:
Fuzzy controllers with conditionally firing rules. IEEE Trans. Fuzzy Syst. 10(3): 340-348 (2002) - 2000
- [j4]Bernhard Moser, Roman Winkler:
A relationship between equality relations and the T-redundancy of fuzzy partitions and its application to Sugeno controllers. Fuzzy Sets Syst. 114(3): 455-467 (2000)
1990 – 1999
- 1999
- [j3]Bernhard Moser, Elena Tsiporkova, Erich-Peter Klement:
Convex combinations in terms of triangular norms: A characterization of idempotent, bisymmetrical and self-dual compensatory operators. Fuzzy Sets Syst. 104(1): 97-108 (1999) - [j2]Bernhard Moser:
Sugeno controllers with a bounded number of rules are nowhere dense. Fuzzy Sets Syst. 104(2): 269-277 (1999) - [c2]Bernhard Moser, Mirko Navara:
Which triangular norms are convenient for fuzzy controllers?. EUSFLAT-ESTYLF Joint Conf. 1999: 75-78 - 1997
- [j1]Erich-Peter Klement, Bernhard Moser:
On the redundancy of fuzzy partitions. Fuzzy Sets Syst. 85(2): 195-201 (1997) - 1993
- [c1]Johann Gamper, Bernhard Moser:
Workshop for Doctoral students in Fuzzy-Based Systems. FLAI 1993: 189
Coauthor Index