Metadaten| Author: | Dayananda Herurkar, Federico Raue, Joachim Folz, Jörn Hees, Andreas Dengel |
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| URL: | https://link.springer.com/chapter/10.1007/978-3-032-38398-3_31 |
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| DOI: | https://doi.org/10.1007/978-3-032-38398-3_31 |
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| ISBN: | 978-3-032-38397-6 |
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| ISBN: | 978-3-032-38398-3 |
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| Parent Title (English): | Artificial Neural Networks and Machine Learning – ICANN 2026 : 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings, Part I |
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| Secondary publication (full text): | https://doi.org/10.48550/arXiv.2606.11844 |
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| Publisher: | Springer Nature Switzerland |
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| Place of publication: | Cham |
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| Editor: | Luca Pasa, Alessandra Lintas, Igor V. Tetko |
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| Document Type: | Conference Proceeding |
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| Language: | English |
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| Publication year: | 2026 |
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| Year of first Publication: | 2026 |
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| Release Date: | 2026/11/06 |
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| Page Number: | 13 |
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| First Page: | 370 |
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| Last Page: | 382 |
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| Faculties / Organisational entities: | RPTU in Kaiserslautern / Fachbereich Informatik / AG Wissensbasierte Systeme |
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| Open access state: | Grün Open-Access |
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| RPTU: | Kaiserslautern |
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| Research funding: | BMBF |
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| Created at the RPTU: | Yes |
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