Availability: Artificial neural networks and machine learning – ICANN 2022

Artificial neural networks and machine learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II

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Bibliographic Details
Corporate Author:	ICANN (Veranstaltung) Bristol (Author)
Other Authors:	Pimenidis, Elias (Editor), Angelov, Plamen P. 1966- (Editor), Jayne, Chrisina (Editor), Papaleonidas, Antonios (Editor), Aydin, Mehmet (Editor)
Format:	Electronic Conference Proceedings eBook
Language:	English
Published:	Cham, Switzerland Springer [2022]
Series:	Lecture notes in computer science 13530
Subjects:	Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics Computer and Information Systems Applications Artificial intelligence Computer engineering Computer networks Computers Image processing—Digital techniques Computer vision Application software Gehirn Nervennetz Modell Neuronales Netz Maschinelles Lernen Anwendung Konferenzschrift > 2022 > Bristol
Links:	https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2 https://doi.org/10.1007/978-3-031-15931-2
Physical Description:	1 Online-Ressource (xxii, 813 Seiten) 247 Illustrationen, 220 in Farbe
ISBN:	9783031159312
ISSN:	1611-3349
DOI:	10.1007/978-3-031-15931-2

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genre	(DE-588)1071861417 Konferenzschrift 2022 Bristol gnd-content
genre_facet	Konferenzschrift 2022 Bristol
id	DE-604.BV048495937
illustrated	Illustrated
indexdate	2025-03-12T15:01:16Z
institution	BVB
institution_GND	(DE-588)1270763067
isbn	9783031159312
issn	1611-3349
language	English
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physical	1 Online-Ressource (xxii, 813 Seiten) 247 Illustrationen, 220 in Farbe
psigel	ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2022 ZDB-2-LNC_2022 ZDB-2-LNC ZDB-2-LNC_2022
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series	Lecture notes in computer science
series2	Lecture notes in computer science
spellingShingle	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II Lecture notes in computer science Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics Computer and Information Systems Applications Artificial intelligence Computer engineering Computer networks Computers Image processing—Digital techniques Computer vision Application software Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd
subject_GND	(DE-588)4019752-9 (DE-588)4041638-0 (DE-588)4039798-1 (DE-588)4226127-2 (DE-588)4193754-5 (DE-588)4196864-5 (DE-588)1071861417
title	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II
title_auth	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II
title_exact_search	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II
title_full	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_fullStr	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_full_unstemmed	Artificial neural networks and machine learning – ICANN 2022 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin (eds.)
title_short	Artificial neural networks and machine learning – ICANN 2022
title_sort	artificial neural networks and machine learning icann 2022 31st international conference on artificial neural networks bristol uk september 6 9 2022 proceedings part ii
title_sub	31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022 : proceedings, part II
topic	Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics Computer and Information Systems Applications Artificial intelligence Computer engineering Computer networks Computers Image processing—Digital techniques Computer vision Application software Gehirn (DE-588)4019752-9 gnd Nervennetz (DE-588)4041638-0 gnd Modell (DE-588)4039798-1 gnd Neuronales Netz (DE-588)4226127-2 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Anwendung (DE-588)4196864-5 gnd
topic_facet	Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Imaging, Vision, Pattern Recognition and Graphics Computer and Information Systems Applications Artificial intelligence Computer engineering Computer networks Computers Image processing—Digital techniques Computer vision Application software Gehirn Nervennetz Modell Neuronales Netz Maschinelles Lernen Anwendung Konferenzschrift 2022 Bristol
url	https://doi.org/10.1007/978-3-031-15931-2
volume_link	(DE-604)BV014880109
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