Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications

Roya Khanzadeh; Stefan Angerbauer; Jorge Torres Gomez; Pit Hofmann; Falko Dressler; Frank H.P. Fitzek; Andreas Springer; Werner Haselmayr

doi:10.1109/ICMLCN59089.2024.10624774

Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications

Roya Khanzadeh
, Stefan Angerbauer
, Jorge Torres Gomez
, Pit Hofmann
, Falko Dressler
, Frank H.P. Fitzek
, Andreas Springer
, Werner Haselmayr

Department of Communications Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Pages	412-418
Number of pages	7
ISBN (Electronic)	9798350343199
DOIs	https://doi.org/10.1109/ICMLCN59089.2024.10624774
Publication status	Published - May 2024

Publication series

Name	2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024

Fields of science

202038 Telecommunications
202 Electrical Engineering, Electronics, Information Engineering
202030 Communication engineering
202037 Signal processing

JKU Focus areas

Digital Transformation

Access to Document

10.1109/ICMLCN59089.2024.10624774

Cite this

Khanzadeh, R., Angerbauer, S., Torres Gomez, J., Hofmann, P., Dressler, F., Fitzek, F. H. P., Springer, A., & Haselmayr, W. (2024). Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications. In 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN) (pp. 412-418). (2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024). https://doi.org/10.1109/ICMLCN59089.2024.10624774

Khanzadeh, Roya ; Angerbauer, Stefan ; Torres Gomez, Jorge et al. / Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications. 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). 2024. pp. 412-418 (2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024).

@inproceedings{0be0d5e8d7044a4482764b522af15b15,

title = "Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications",

author = "Roya Khanzadeh and Stefan Angerbauer and \{Torres Gomez\}, Jorge and Pit Hofmann and Falko Dressler and Fitzek, \{Frank H.P.\} and Andreas Springer and Werner Haselmayr",

year = "2024",

month = may,

doi = "10.1109/ICMLCN59089.2024.10624774",

language = "English",

series = "2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024",

pages = "412--418",

booktitle = "2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)",

}

Khanzadeh, R , Angerbauer, S, Torres Gomez, J, Hofmann, P, Dressler, F, Fitzek, FHP, Springer, A & Haselmayr, W 2024, Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications. in 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). 2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024, pp. 412-418. https://doi.org/10.1109/ICMLCN59089.2024.10624774

Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications. / Khanzadeh, Roya ; Angerbauer, Stefan; Torres Gomez, Jorge et al.
2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). 2024. p. 412-418 (2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications

AU - Khanzadeh, Roya

AU - Angerbauer, Stefan

AU - Torres Gomez, Jorge

AU - Hofmann, Pit

AU - Dressler, Falko

AU - Fitzek, Frank H.P.

AU - Springer, Andreas

AU - Haselmayr, Werner

PY - 2024/5

Y1 - 2024/5

UR - https://www.scopus.com/pages/publications/85202442871

U2 - 10.1109/ICMLCN59089.2024.10624774

DO - 10.1109/ICMLCN59089.2024.10624774

M3 - Conference proceedings

T3 - 2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024

SP - 412

EP - 418

BT - 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)

ER -

Khanzadeh R , Angerbauer S, Torres Gomez J, Hofmann P, Dressler F, Fitzek FHP et al. Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications. In 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). 2024. p. 412-418. (2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024). doi: 10.1109/ICMLCN59089.2024.10624774

Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab)

Cite this

Explainable Asymmetric Auto-Encoder for End-To-End Learning of IoBNT Communications

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab)

Cite this