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Prof. Dr. Orsolya Csiszár

Raum
G2 2.10
Telefon
+49 7361 576-5567
E-Mail-Adresse
orsolya.csiszar[at]hs-aalen.de
Prof. Dr. Orsolya Csiszár

Forschungsprojekte

  • NextGenNDT, FH-Kooperativ: Hochpräzises Non-Destructive Testing in der Industrieproduktion mittels neuer KI-Verfahren
  • Carl Zeiss Stiftung MEMORI, Teilprojekt, Machine Learning Methoden zur Ermittlung funktioneller Eigenschaften intelligenter Materialien (Entwicklung innovativer Magnet- und Batteriematerialien)
  • Smart-DATA in SmartPro

Publikationen

36 Publikationen

2020

How to implement MCDM tools and continuous logic into neural computation? Towards better interpretability of neural networks

Orsolya Csiszár, G. Csiszár, J. Dombi

2020

Interpretable Neural Networks Based on Continuous-Valued Logic and Multicriteria Decision Operators

Orsolya Csiszár, G. Csiszár, J. Dombi

2020

Natural Invariance Explains Empirical Success of Specifific Membership Functions

Orsolya Csiszár, J. Urenda, G. Csiszár, J. Dombi, G. Eigner

2020

Structure-property relationship of multi-component iron-oxide nanowires by means of atom probe tomography, analytic microscopy and nonlinear mechanics

Orsolya Csiszár, G. Csiszár, H. Solodenko, R. Lawitzki, W. Ma, C. Everett

2020

Towards Fast and Understandable Computations: Which "And"- and "Or"-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations?

Orsolya Csiszár, K. Alvarez, J. Urenda, G. Csiszár, J. Dombi, G. Eigner, V. Kreinovich

2020

Why Squashing Functions in Multi-Layer Neural Networks

Orsolya Csiszár, J. C. Urenda, G. Csiszár, J. Dombi, O. Kosheleva, V. Kreinovich, G. Eigner

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Künstliche Intelligenz & InformatikBachelor Artificial Intelligence & Data Science