Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Csiszár, Gábor
136  Ergebnisse:
Personensuche X
?
1

The effect of self-organization during deposition on the se..:

Gulyás, Szilvia ; Katona, Gábor L. ; Csiszár, Gábor...
Materials Characterization.  209 (2024)  - p. 113699 , 2024
Link: https://doi.org/10.1016/..
 
?
2

Why Fuzzy Control Is Often More Robust (and Smoother): A Th..:

, In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI),
Csiszar, Orsolya ; Csiszar, Gabor ; Kosheleva, Olga.. - p. 501-505 , 2023
Link: https://doi.org/10.1109/..
 
?
3

Uninorm-like parametric activation functions for human-unde..:

Csiszár, Orsolya ; Pusztaházi, Luca Sára ; Dénes-Fazakas, Lehel...
Knowledge-Based Systems.  260 (2023)  - p. 110095 , 2023
Link: https://doi.org/10.1016/..
 
?
4

Optical Modulation and Phase Distribution in LiCoO2 upon Li..:

Banifarsi, Sanaz ; Joshi, Yug ; Lawitzki, Robert..
Journal of The Electrochemical Society.  169 (2022)  4 - p. 046509 , 2022
Link: https://doi.org/10.1149/..
 
?
5

Parametric activation functions modelling fuzzy connectives..:

, In: 2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and Informatics (SISY),
Pusztahazi, Luca Sara ; Csiszar, Gabor ; Gashler, Michael S.. - p. 000077-000082 , 2022
Link: https://doi.org/10.1109/..
 
?
6

Elastic Behavior of Nb2O5/Al2O3 Core–Shell Nanowires in Ter..:

Csiszár, Gábor ; Lawitzki, Robert ; Everett, Christopher.
ACS Applied Materials & Interfaces.  13 (2021)  20 - p. 24238-24249 , 2021
Link: https://doi.org/10.1021/..
 
?
7

Natural Invariance Explains Empirical Success of Specific M..:

, In: Advances in Intelligent Systems and Computing; Fuzzy Information Processing 2020,
Urenda, Julio C. ; Csiszár, Orsolya ; Csiszár, Gábor... - p. 443-456 , 2021
Link: https://doi.org/10.1007/..
 
?
8

Squashing activation functions in benchmark tests: Towards ..:

Zeltner, Daniel ; Schmid, Benedikt ; Csiszár, Gábor.
Knowledge-Based Systems.  218 (2021)  - p. 106779 , 2021
Link: https://doi.org/10.1016/..
 
?
9

Interpretable neural networks based on continuous-valued lo..:

Csiszár, Orsolya ; Csiszár, Gábor ; Dombi, József
Knowledge-Based Systems.  199 (2020)  - p. 105972 , 2020
Link: https://doi.org/10.1016/..
 
?
10

Beyond linearity: bent crystalline copper nanowires in the ..:

Martine, Jacob ; Lawitzki, Robert ; Ma, Wenhao...
Nanoscale Advances.  2 (2020)  7 - p. 3002-3016 , 2020
Link: https://doi.org/10.1039/..
 
?
11

Why Squashing Functions in Multi-Layer Neural Networks:

, In: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC),
Urenda, Julio C. ; Csiszar, Orsolya ; Csiszar, Gabor... - p. 1705-1711 , 2020
Link: https://doi.org/10.1109/..
 
?
12

Nonlinear elastic aspects of multi-component iron oxide cor..:

Csiszár, Gábor ; Solodenko, Helena ; Lawitzki, Robert...
Nanoscale Advances.  2 (2020)  12 - p. 5710-5727 , 2020
Link: https://doi.org/10.1039/..
 
?
13

Synthesis and thermal reaction of stainless steel nanowires:

Csiszár, Gábor ; Schellenberger, Martin ; Schmitz, Guido
Nanoscale.  12 (2020)  2 - p. 731-745 , 2020
Link: https://doi.org/10.1039/..
 
?
14

How to implement MCDM tools and continuous logic into neura..:

Csiszár, Orsolya ; Csiszár, Gábor ; Dombi, József
Knowledge-Based Systems.  210 (2020)  - p. 106530 , 2020
Link: https://doi.org/10.1016/..
 
?
15

High capacity rock salt type Li2MnO3−δthin film battery ele..:

Müller, Henry A. ; Joshi, Yug ; Hadjixenophontos, Efi...
RSC Advances.  10 (2020)  7 - p. 3636-3645 , 2020
Link: https://doi.org/10.1039/..
 
1-15