Gábor Csiszár

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Activation Function

Multilayer Perceptron

Artificial Intelligence

Top Venues

Knowl. Based Syst.

Publications

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)
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)
József Dombi, Orsolya Csiszár, Gábor Csiszár
Semantic Interpretation of Deep Neural Networks Based on Continuous Logic. CoRR (2019)