Interpretability Using Reconstruction of Capsule Networks

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

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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.

Volume 24 (2024): Issue 3 (September 2024)