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Interpretability Using Reconstruction of Capsule Networks Cover

Interpretability Using Reconstruction of Capsule Networks

Acta Electrotechnica et Informatica
Volume 24 (2024): Issue 3 (September 2024)
By: Dominik Vranay,  Mykhailo Ruzmetov and  Peter Sinčák  
Open Access
|Sep 2024

Authors

Dominik Vranay

dominik.vranay@tuke.sk

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

Mykhailo Ruzmetov

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic

Peter Sinčák

Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Košice, Slovak Republic
DOI: https://doi.org/10.2478/aei-2024-0010 | Journal eISSN: 1338-3957 | Journal ISSN: 1335-8243
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Language: English
Page range: 15 - 22
Submitted on: May 23, 2024
Accepted on: Jul 15, 2024
Published on: Sep 19, 2024
Published by: Technical University of Košice
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Capsule Neural Networks,
Model Explainability,
Reconstruction Mechanism,
Decoder Architectures,
Explainable Artificial Intelligence
Related subjects:
Computer sciences,
Information technology,
Databases and data mining,
Engineering,
Electrical engineering,
Information technology

© 2024 Dominik Vranay, Mykhailo Ruzmetov, Peter Sinčák, published by Technical University of Košice
This work is licensed under the Creative Commons Attribution 4.0 License.

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