| Title: | NiaNetAD: Autoencoder architecture search for tabular anomaly detection powered by HPC |
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| Authors: | ID Pavlič, Sašo (Author)
ID Karakatič, Sašo (Author)
ID Fister, Iztok (Author) |
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| Files: |
This document has no files. This document may have a physical copy in the library of the organization, check the status via COBISS.  |
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.08 - Published Scientific Conference Contribution |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Keywords: | predictive maintenance, autoencoder, anomaly detection, nature-inspired algorithms, optimization, high-performance computing, unsupervised learning |
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| Year of publishing: | 2023 |
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| Number of pages: | Str. 84-88 |
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| PID: | 20.500.12556/DKUM-86896 |
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| UDC: | 004.8 |
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| COBISS.SI-ID: | 182592259 |
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| DOI: | 10.1109/CINTI59972.2023.10381935 |
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| Publication date in DKUM: | 26.01.2024 |
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| Views: | 447 |
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| Downloads: | 0 |
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| Metadata: |    |
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| Categories: | Misc.
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