Orsolya Csiszár

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

Benchmark Tests

Activation Function

Multilayer Perceptron

Top Venues

Knowl. Based Syst.

Fuzzy Sets Syst.

Publications

Juan G. Díaz Ochoa, Lukas Maier, Orsolya Csiszár
Bayesian logical neural networks for human-centered applications in medicine. Frontiers Bioinform. 3 (2023)
Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár
Uninorm-like parametric activation functions for human-understandable neural models. Knowl. Based Syst. 260 (2023)
Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. SSCI (2023)
Luca Sára Pusztaházi, Gábor Csiszár, Michael S. Gashler, Orsolya Csiszár
Parametric activation functions modelling fuzzy connectives for better explainability of neural models. SISY (2022)
Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár
Uninorm-like parametric activation functions for human-understandable neural models. CoRR (2022)
Daniel Zeltner, Benedikt Schmid, Gábor Csiszár, Orsolya Csiszár
Squashing activation functions in benchmark tests: Towards a more eXplainable Artificial Intelligence using continuous-valued logic. Knowl. Based Syst. 218 (2021)
Juan G. Díaz Ochoa, Orsolya Csiszár, Thomas Schimper
Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networks. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Orsolya Csiszár, Gábor Csiszár, József Dombi
Interpretable neural networks based on continuous-valued logic and multicriteria decision operators. Knowl. Based Syst. 199 (2020)
Daniel Zeltner, Benedikt Schmid, Gábor Csiszár, Orsolya Csiszár
Squashing activation functions in benchmark tests: towards eXplainable Artificial Intelligence using continuous-valued logic. CoRR (2020)
Orsolya Csiszár, Gábor Csiszár, József Dombi
How to implement MCDM tools and continuous logic into neural computation?: Towards better interpretability of neural networks. Knowl. Based Syst. 210 (2020)
Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, György Eigner, Vladik Kreinovich
Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations. NAFIPS (2020)
Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, György Eigner
Why Squashing Functions in Multi-Layer Neural Networks. SMC (2020)
Orsolya Csiszár, József Dombi
Generator-based Modifiers and Membership Functions in Nilpotent Operator Systems. IWOBI (2019)
József Dombi, Orsolya Csiszár, Gábor Csiszár
Semantic Interpretation of Deep Neural Networks Based on Continuous Logic. CoRR (2019)
József Dombi, Orsolya Csiszár
Operator-dependent Modifiers in Nilpotent Logical Systems. IJCCI (2018)
József Dombi, Orsolya Csiszár
Self-dual operators and a general framework for weighted nilpotent operators. Int. J. Approx. Reason. 81 (2017)
József Dombi, Orsolya Csiszár
Equivalence operators in nilpotent systems. Fuzzy Sets Syst. 299 (2016)
József Dombi, Orsolya Csiszár
The general nilpotent operator system. Fuzzy Sets Syst. 261 (2015)
József Dombi, Orsolya Csiszár
Implications in bounded systems. Inf. Sci. 283 (2014)