| Stability of interpolative fuzzy KH controllers D Tikk, I Joó, L Kóczy, P Vįrlaki, B Moser, TD Gedeon Fuzzy Sets and Systems 125 (1), 105-119, 2002 | 127 | 2002 |
| On Representing and Generating Kernels by Fuzzy Equivalence Relations. B Moser Journal of machine learning research 7 (12), 2006 | 97 | 2006 |
| Are fuzzy systems universal approximators? EP Klement, LT Koczy, B Moser International Journal Of General System 28 (2-3), 259-282, 1999 | 92 | 1999 |
| Robust unsupervised domain adaptation for neural networks via moment alignment W Zellinger, BA Moser, T Grubinger, E Lughofer, T Natschläger, ... Information Sciences 483, 174-191, 2019 | 78 | 2019 |
| On the T-transitivity of kernels B Moser Fuzzy Sets and Systems 157 (13), 1787-1796, 2006 | 73 | 2006 |
| Fuzzy controllers with conditionally firing rules B Moser, M Navara IEEE Transactions on fuzzy systems 10 (3), 340-348, 2002 | 60 | 2002 |
| Sugeno controllers with a bounded number of rules are nowhere dense B Moser Fuzzy Sets and Systems 104 (2), 269-277, 1999 | 51 | 1999 |
| Domain adaptation for regression under Beer–Lambert’s law R Nikzad-Langerodi, W Zellinger, S Saminger-Platz, BA Moser Knowledge-Based Systems 210, 106447, 2020 | 48 | 2020 |
| Modeling of control functions by fuzzy controllers P Bauer, EP Klement, B Moser, A Leikermoser Theoretical aspects of fuzzy control, 91-116, 1995 | 39 | 1995 |
| Advanced FRET normalization allows quantitative analysis of protein interactions including stoichiometries and relative affinities in living cells B Hochreiter, M Kunze, B Moser, JA Schmid Scientific Reports 9 (1), 8233, 2019 | 38 | 2019 |
| A similarity measure for image and volumetric data based on Hermann Weyl's discrepancy BA Moser IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (11), 2321 …, 2009 | 38 | 2009 |
| Ai system engineering—key challenges and lessons learned L Fischer, L Ehrlinger, V Geist, R Ramler, F Sobiezky, W Zellinger, ... Machine Learning and Knowledge Extraction 3 (1), 56-83, 2020 | 35 | 2020 |
| Wild patterns reloaded: A survey of machine learning security against training data poisoning AE Ciną, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ... ACM Computing Surveys 55 (13s), 1-39, 2023 | 31 | 2023 |
| A deep neural network as surrogate model for forward simulation of borehole resistivity measurements M Shahriari, D Pardo, B Moser, F Sobieczky Procedia Manufacturing 42, 235-238, 2020 | 30 | 2020 |
| On stability of distance measures for event sequences induced by level-crossing sampling BA Moser, T Natschläger IEEE Transactions on Signal Processing 62 (8), 1987-1999, 2014 | 28 | 2014 |
| Convex combinations in terms of triangular norms: A characterization of idempotent, bisymmetrical and self-dual compensatory operators B Moser, E Tsiporkova, EP Klement Fuzzy Sets and Systems 104 (1), 97-108, 1999 | 27 | 1999 |
| On the redundancy of fuzzy partitions EP Klement, B Moser Fuzzy Sets and Systems 85 (2), 195-201, 1997 | 23 | 1997 |
| A role for miR-132 in learned safety M Ronovsky, A Zambon, A Cicvaric, V Boehm, B Hoesel, BA Moser, ... Scientific Reports 9 (1), 528, 2019 | 22 | 2019 |
| 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 | 20 | 2019 |
| Similarity recovery from threshold-based sampling under general conditions BA Moser IEEE Transactions on Signal Processing 65 (17), 4645-4654, 2017 | 20 | 2017 |
Werner ZellingerRICAM, Austrian Academy of SciencesVerified email at ricam.oeaw.ac.at
