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Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. Proceedings, Part III
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SYSNO ASEP 0508635 Document Type G - Proceedings (int. conf.) R&D Document Type O - Ostatní Title Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing. Proceedings, Part III Author(s) Tetko, I. V. (ed. DE)
Kůrková, Věra (UIVT-O ed.) RID, SAI, ORCID
Karpov, P. (ed. DE)
Theis, F. (ed. DE)Issue data Cham: Springer, 2019 ISBN 978-3-030-30507-9 ISSN 0302-9743 Series Lecture Notes in Computer Science Series number 11729 Number of pages 733 s. Publication form Print - P Action ICANN 2019. International Conference on Artificial Neural Networks /28./ Event date 17.09.2019 - 19.09.2019 VEvent location Munich Country DE - Germany Event type WRD Language eng - English Country CH - Switzerland Keywords artificial intelligence ; computational linguistics ; computer networks ; machine learning ; neural networks ; robotics Subject RIV IN - Informatics, Computer Science OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Institutional support UIVT-O - RVO:67985807 EID SCOPUS 85072858481 DOI 10.1007/978-3-030-30508-6 Annotation The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation - deep learning - image processing - text and time series - and workshop and special sessions. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2020
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